(STEM) Science, Technology, Engineering & Mathematics

Astronomers

Observe, research, and interpret astronomical phenomena to increase basic knowledge or apply such information to practical problems.

A Day In The Life

(STEM) Science, Technology, Engineering & Mathematics Industry

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Salary Breakdown

Astronomers

Average

$115,680

ANNUAL

$55.62

HOURLY

Entry Level

$75,380

ANNUAL

$36.24

HOURLY

Mid Level

$103,850

ANNUAL

$49.93

HOURLY

Expert Level

$163,310

ANNUAL

$78.51

HOURLY


Current Available & Projected Jobs

Astronomers

86

Current Available Jobs

170

Projected job openings through 2030


Sample Career Roadmap

Astronomers

Supporting Certifications

 Arizona State University

Degree Recommendations


 Estrella Mountain Community College (MCCCD)

 Arizona Western College

 Chandler-Gilbert Community College (MCCCD)

 Estrella Mountain Community College



 Northern Arizona University




Top Expected Tasks

Astronomers


Knowledge, Skills & Abilities

Astronomers

Common knowledge, skills & abilities needed to get a foot in the door.

KNOWLEDGE

Mathematics

KNOWLEDGE

Physics

KNOWLEDGE

Computers and Electronics

KNOWLEDGE

English Language

KNOWLEDGE

Engineering and Technology

SKILL

Reading Comprehension

SKILL

Science

SKILL

Critical Thinking

SKILL

Active Learning

SKILL

Active Listening

ABILITY

Deductive Reasoning

ABILITY

Inductive Reasoning

ABILITY

Mathematical Reasoning

ABILITY

Oral Expression

ABILITY

Information Ordering


Job Opportunities

Astronomers

  • AI Research Scientist Internship - Trusted Media Intern
    Intel    Phoenix, AZ 85067
     Posted about 5 hours    

    **Job Description**

    Responsibilities may be quite diverse of a technical nature. U.S. experience and education requirements will vary significantly depending on the unique needs of the job. Job assignments are usually for the summer or for short periods during breaks from school.

    Geometric, Generative, and Good AI Team in Intelligent Systems Research Lab, Intel Labs conducts inter-disciplinary research for unraveling AI for humans to amplify human potential in physical and digital worlds, by creating trustworthy AI systems; AI-ficiation of complex problems; and reconstructing, animating, and securing digital personas. Research topics root from computational geometry, computer vision, and signal processing methods in 2D and 3D, to formulate problems in the specific domain and to build AI-based novel perspectives using the priors of that domain. We conduct fundamental and applied research in the context of vertical domains including manufacturing, media, enterprise, metaverse, and assistive computing.

    Intel Labs is an industry-leading research organization, responsible for driving Intel's technology pipeline, product innovations, and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high-risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

    G3 AI Team is looking for a motivated summer intern with experience at the intersection of machine learning and computer vision domains who can collaborate on research projects being conducted in one or more of G3 AI's focus areas. The successful candidate will be working on developing responsible AI approaches related to the integrity of digital content, including manipulated content detection, synthetic data generation, media provenance, and adversarial attacks on such systems, with one or more of modalities such as vision, audio, speech, or biological signals. Current projects span across vertical domains like manipulated media identification using biological priors, novel neural network architectures for responsible generation, or integrating media provenance to AI algorithms. In this position you will have the opportunity to conduct independent research on building multimodal learning systems and applications. Typical work would span across exploring signals and priors of different domains, data curation and database ingestion, developing, optimizing, and deploying deep learning models within different domains, and developing and applying model interpretation methods to support decision making. You will be researching fundamental concepts and methods for exploiting authenticity and fakery signals in manipulated media, building and evaluating systems and proofs-of-concept that will allow for the deployment of scalable approaches in real settings. This research will enable internal technology transfers and publication of findings in both internal and external venues. In addition to the research collaterals, building proof of concept prototypes is also expected from the candidate.

    **Behavior traits:**

    + Proven track record of collaboration and technical leadership to deliver leading-edge solutions.

    + Verbal communication, technical writing, and presentation skills

    + Independent research, debugging, and prototyping capabilities.

    _This is an internship position and compensation will be given accordingly._

    **Qualifications**

    You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences.

    **Minimum Qualifications:**

    The candidate must be pursuing a Ph.D. degree in Computer Science, Computer Engineering, Electrical Computer Engineering, or any related field.

    **1+ year experience in below areas:**

    + Deep Learning and Computer Vision, i.e., Generative Models, Image and Signal Processing, Multimodal Artificial Intelligence, Interpretable Machine Learning

    + Novel architectures beyond convolutional networks, such as transformers, attention modules, generative adversarial networks, conditional autoencoders, diffusion models

    + AI frameworks (e.g., PyTorch, TensorFlow, Keras, Caffe)

    + Python and/or C++ languages

    + Data analysis, statistical methods, and algorithm evaluation

    **Preferred Qualifications:**

    + Publications in top DL/CV/AI/CG venues such as CVPR, ICCV, PAMI, NeurIPS, SIGGRAPH.

    + Experience in Deep Learning based techniques at the intersection of Vision, Audio, 3D, and other modalities

    + Knowledge of Computer Vision techniques such as object detection, recognition, segmentation, tracking, and reconstruction

    + Knowledge of Generative Models such as GANs, Variational Autoencoders, Blend Shapes, and Diffusion Models

    + Knowledge of Machine Learning techniques such as Adversarial Learning, Probabilistic Methods, Physics-based Models, and Model Adaptation

    + Knowledge of black-box Model Interpretability techniques for explaining model predictions and using the black-box models for designing Adversarial Attacks

    **Inside this Business Group**

    Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

    **Posting Statement**

    All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

    **Benefits**

    We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. (https://jobs.intel.com/en/benefits)

    Annual Salary Range for jobs which could be performed in US, Colorado, New York, Washington, California: $63,000.00-$166,000.00

    *Salary range dependent on a number of factors including location and experience

    **Working Model**

    This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. **In certain circumstances the work model may change to accommodate business needs.**


    Employment Type

    Full Time

  • Entry Level Environmental Data Scientist - Phoenix, AZ- [1984-RSI-04]
    ASRC Industrial Services    Phoenix, AZ 85067
     Posted about 5 hours    

    Entry Level Environmental Data Scientist - Phoenix, AZ-

    Summary

    **Title:** Entry Level Environmental Data Scientist - Phoenix, AZ-

    **ID:** 1984- RSI- 04

    Description

    **About Company**

    RSI EnTech is a wholly owned operating company of ASRC Industrial (AIS).AIS was founded in 2016 by Arctic Slope Regional Corporation (ASRC), an Alaska Native Corporation (ANC) established under the Alaska Native Claims Settlement Act of 1971. As part of an ANC all our operating companies are Minority Business Enterprises (MBE). We help our clients meet their diversity spending objectives while also providing sustainable returns for our nearly 13,500 Iñupiat shareholders.

    We offer competitive salaries and full range of benefits including: generous PTO plan, paid holidays, medical, dental, vision, 401K (100% match up to 4% eligible compensation) and 100% immediate vesting, basic and supplemental life insurance, short-term and long-term disability as well as other benefits.

    **Job Summary:** RSIis seeking a self-starting, motivated **Entry Level** **Environmental Data Scientist** to provide data management support on environmental investigations and remediation projects as part of the chemistry team. The Data Scientist supports upfront field planning, coordination and preparation of documents required to acquire analytical services to address the scope of work on environmental remediation and hazardous waste management projects in accordance with Company standards, regulatory criteria, and contractual obligations. This office and field position requires some knowledge in the areas of science, data input and some chemistry obtained through specialized intellectual instruction. The position requires the ability to work independently on assignments requiring the consistent exercise of judgement, attention to detail, ability to interpret or make deductions based on environmental methods and analytical procedures. The position is an in-office position but can be remote depending on location.

    **Duties and Responsibilities:**

    + Generate and format tables, charts and graphs in support of assessing site conditions and report preparation.

    + Generate Chain of Custody records (COCs) and bottle orders to the lab for field sampling programs.

    + Complete related documentation (field reports, logs, meeting minutes, online submittal sites), in a timely and accurate manner.

    + Manage delays in delivering samples to laboratory.

    + Attend and participate in project meetings.

    + Learn and perform functions in GES’s environmental data management system, including error checking, writing and/or executing basic SQL queries.

    **Key Requirements, Education, and Experience:**

    + BS or BA in any of the physical sciences or computer science. Preference includes semester hours in chemistry, mathematics, and physics.

    + Zero to 2 years of progressively responsible experience conducting field sampling, laboratory analyses, data verification, data management, and team support/integration.

    + HAZWOPER 40 Hour Certification with current 8 Hour Refresher.

    + Continuing education in environmental science/data management is expected.

    **Knowledge, Skills and Abilities:**

    + Familiar with Federal EPA, DoD, DOE environmental data quality regulations and guidelines

    + Familiar with environmental industry standard analytical methodologies for determining the presence of chemicals and radionuclides.

    + Able to apply knowledge to multiple projects at same time.

    + Understands appropriate protocols for the collection of samples and other field data.

    + Understands industry standard principles, terms, procedures and practices of radiological, inorganic and organic chemistry.

    + Able to thrive in a fast-paced environment.

    + Possess strong communication skills, both written and verbal.

    + Able to use logical thought processes to analyze information and make recommendations about continuous improvement.

    + Able to meet deadlines.

    + Able to work without supervision and take directions without follow-up.

    + Possess strong quantitative and interpersonal skills.

    + Competent in using word processing, spreadsheet programs, and portable document format (PDF) programs (Adobe Acrobat or Blue Beam).

    EEO Statement:

    ASRC Industrial and its operating companies affords equal opportunity in employment to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, age, national origin, pregnancy, familial status, disability status, veteran status, citizenship status, genetic information or any other characteristic protected under Federal, State or Local law. ASRC Industrial is an Equal Opportunity Employer.


    Employment Type

    Full Time

  • Lead Data Scientist
    Lumen    Phoenix, AZ 85067
     Posted 1 day    

    **About Lumen**

    Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress.

    Lumen’s commitment to workplace inclusion and employee support shines bright. We’ve made the Newsweek 2024 Greatest Workplaces for Diversity list and achieved a perfect score of 100 on the Human Rights Campaign Corporate Equality Index (CEI) for the fifth consecutive year. Plus, we’re the top employer in the communications and telecom industry, ranking 12th overall across all industries in The American Opportunity Index.

    We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.

    **The Role**

    The Data Scientist is responsible for developing tools to collect, clean, analyze and manage the data used by strategic areas of the business. Employ techniques and theories drawn from mathematics, statistics, from the subdomains of machine learning, classification, cluster analysis, and data mining.

    **Work Location - Remote US Locations**

    **The Main Responsibilities**

    Collaborates with dedicated Lumen AI/ML resources to develop and maintain models used to assess Lumen Customer Experience (CX) and satisfaction.

    Creates strategies for generating solutions and runs quick analyses to ensure feasibility of approaches for model maintenance and enhancement.

    Plays a key role as “player coach” upskilling & training for AI/ML projects.

    **What We Look For in a Candidate**

    Required skills

    ○ Strong statistical background and understanding of advanced analytic techniques

    ○ Experience with A.I. and Machine Learning model development

    ○ Proficiency in Azure AI Stack

    ○ Proficiency in statistical data analysis and data mining packages (e. g R, Python)

    ○ Solid programming skills in SQL, TSql, PL/SQL or similar database programming language

    ○ Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions

    ○ Self-motivated and comfortable working in a fast-paced environment with limited direction

    Nice-to-have skills

    ○ Experience with ETL tools (e.g. SQL Server Integration Services)

    ○ Understanding and experience of integrating with APIs. Knowledge of standards such as REST, JSON

    ○ Strong object-oriented programming skills (e.g. Java, JavaScript, Scala)

    ○ Understanding of the Cloudera Big Data Stack. Hands on experience with Hive, Impala and Spark.

    ○ Experience with digital analytics concepts (e.g. Next Product to buy, cross channel attribution)

    ○ Azure AI Certified

    Tool and platform know-how

    ○ Data mining languages and packages (e.g.R, Python)

    ○ Programming skills in Python, R

    ○ Big data frameworks (TensorFlow, Caffe, Spark, Hadoop, Azure AI Stack)

    **Compensation**

    The starting salary for this role differs based on the employee's primary work location. Employees typically do not start at the top of the range, though compensation depends on each individual's qualifications.

    **Location Based Pay Ranges**

    **$94420 - $125890** in these states: AR, ID, KY, LA, ME, MS, NE, SC, and SD.

    **$99390 - $132510** in these states: AZ, AL, FL, GA, IN, IA, KS, MO, MT, NM, ND, OH, OK, PA, TN, UT, VT, WV, WI, and WY.

    **$104360 - $139140** in these states: CO, HI, MI, MN, NV, NH, NC, OR, and RI.

    **$109330 - $145770** in these states: AK, CA, CT, DE, DC, IL, MD, MA, NJ, NY, TX, VA, and WA.

    As with the pay range variety that's based on the region of a country, specific offers are determined by various factors such as experience, education, skills, certifications and other business needs.

    Requisition #: 332805

    **Background Screening**

    If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (https://jobs.lumen.com/global/en/faq) . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.

    Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

    **Equal Employment Opportunities**

    We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

    **Disclaimer**

    The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

    **Salary Range**

    **Salary Min :**

    94420

    **Salary Max :**

    145770

    This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.

    This position is eligible for either short-term incentives or sales compensation. Director and VP positions also are eligible for long-term incentive. To learn more about our bonus structure, you can view additional information here. (https://jobs.lumen.com/global/en/compensation-information) We're able to answer any additional questions you may have as you move through the selection process.

    As part of our comprehensive benefits package, Lumen offers a broad range of Health, Life, Voluntary Lifestyle and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing. You can learn more by clicking here. (https://centurylinkbenefits.com)

    Note: For union-represented postings, wage rates and ranges are governed by applicable collective bargaining agreement provisions.


    Employment Type

    Full Time

  • Environmental Scientist
    Kimley-Horn    Phoenix, AZ 85067
     Posted 1 day    

    **Overview**

    Kimley-Horn's Phoenix, AZ office is seeking an Environmental Scientist with 4+ years of experience to join their Environmental team! This is not a remote position.

    **Responsibilities**

    + Adhere to the budget set by the client and performing strong project management knowledge

    + Attend meetings and communicate with clients, government entities, and various regulatory agencies to fulfill any regulations and requirements relating to projects

    + Monitor project progress, budgets, and schedules

    + This is an exciting opportunity to work with a multidisciplinary team on a variety of projects

    + You will flourish on both building meaningful internal and external professional relationships

    + You will work closely and collaboratively with other industry leading professionals, various jurisdictions, and contractors

    **Qualifications**

    + 4+ years of relevant experience, including state and federal wetland and species permitting requirements

    + Bachelors or Masters Degree in Environmental Science, Ecology, Botany, Biology, or related field

    + Ecological field work experience

    + Possess strong technical writing skills and have experience writing detailed technical reports

    + Working knowledge or strong interest in ArcGIS

    + Enjoy working in both an office environment and in the field

    + Interest in working with planners and designers to avoid and minimize ecological impacts

    + Willingness and flexibility to travel for projects as needed

    + Strong sense of urgency and self-initiative to meet client deadlines

    + Desire to provide exceptional client service

    + Ability to manage multiple priorities

    + Strong interpersonal skills

    + Ability to enjoy work independently and on a team

    **Why Kimley-Horn?**

    At Kimley-Horn, we do things differently. People, clients and employees, are at the forefront of who we are. Clients know we prioritize achieving their goals and growing their success. Employees know our culture and approach to business are built on a desire to provide an environment for everyone to flourish. Our commitment to quality is only as good as the people behind it— that’s why we welcome and develop passionate, hardworking, and proactive employees. We take pride in how our employee retention, robust benefits package, and company values have led to Kimley-Horn’s placement on the Fortune “100 Best Companies to Work” list for 16 years!

    Share this job with a friend (https://careers-kimley-horn.icims.com/jobs/12555/environmental-scientist/job?mode=apply&apply=yes&in\_iframe=1&hashed=-1834442239)

    Share on social media

    PleaseCLICK HERE (https://www.kimley-horn.com/careers/benefits/at-a-glance/) to learn more about the potential Benefits you may be eligible to receive with this role.

    If you require an accommodation, pleaseCLICK HERE. (https://www.kimley-horn.com/careers/ada-accommodation-request/)

    **Applicants must be legally authorized to work for Kimley-Horn in the U.S. without employer sponsorship. We do not typically sponsor H1-B or any other work visa petitions.**

    Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

    **Posted Date** _9 hours ago_ _(3/27/2024 1:36 PM)_

    **_ID_** _2024-12555_

    **_Education_** _Bachelor's Degree_

    **_Discipline/Focus_** _Environmental_


    Employment Type

    Full Time

  • Data Scientist
    Pearson    Phoenix, AZ 85067
     Posted 2 days    

    **Position Summary**

    Machine learning and LLMs’ impact on Higher Education continues to expand each day. Pearson is looking for a data scientist to help harness this growing field to benefit university students and instructors. This individual will participate in the planning, design, development, and implementation of solutions to provide the optimal learning experience for our customers. Our data scientists work on solutions which improve the efficiency of instructors and increase student engagement, comprehension, and personalized learning experiences.

    **Responsibilities:**

    + Collaborate with cross-functional teams to build new solutions for students and instructors in Higher Education using your expertise in deep learning and other machine learning models and algorithms

    + Continuously learn, explore, and provide insights into the latest tools and practices in artificial intelligence so we can innovate new ways of teaching and assessing university level material.

    + Evaluate and fine tune the performance, cost and efficacy of different models and solutions to achieve the highest quality standards for our customers.

    + Make a lasting, positive impact on the educational outcomes of our customers.

    + Be a trustworthy steward of our customers’ data

    **Requirements**

    + 3+ years of experience of deep-learning and Language Model Middleware (LMM) technologies, know how to evaluate similarity search and LMM outputs, and conduct prompt engineering, token optimization and evaluate system efficacy.

    + In-depth understanding of LLM technologies and their applications in natural language processing.

    + Experience with data preprocessing, data augmentation, and data quality assessment.

    + Proficiency in using and fine-tuning state-of-the-art deep learning models, such as transformer-based architectures (e.g., BERT, GPT, T5).

    + Strong programming skills in Python and proficiency with relevant libraries and frameworks (e.g., TensorFlow, Pandas, PyTorch, SciPy, scikit-learn, JAX)

    + Knowledge of ethical AI principles, red-teaming, and responsible AI practices.

    + Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.

    + Prior experience with prompt engineering and chatbot development is highly desirable.

    Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the Colorado, California, Washington State, New York State and New York City laws, the pay range for this position is as follows:

    The minimum full-time salary range is between $90,000 - $110,000.

    This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

    **What to expect from Pearson**

    Did you know Pearson is one of the 10 most innovative education companies of 2022?

    At Pearson, we add life to a lifetime of learning so everyone can realize the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact. We are on a journey to be 100 percent digital to meet the changing needs of the global population by developing a new strategy with ambitious targets. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education. Alongside these, we have our corporate divisions: Digital & Technology, Finance, Global Corporate Marketing & Communications, Human Resources, Legal, Strategy and Direct to Consumer. Learn more at We are Pearson.

    We value the power of an inclusive culture and also a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to building a workplace where talent can learn, grow and thrive.

    Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We want a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work will be. All employment decisions are based on qualifications, merit and business need. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We strive for a workforce that reflects the diversity of our communities.

    To learn more about Pearson’s commitment to a diverse and inclusive workforce, navigate to: Diversity, Equity & Inclusion at Pearson.

    If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing [email protected].

    Note that the information you provide will stay confidential and will be stored securely. It will not be seen by those involved in making decisions as part of the recruitment process.

    **Job:** RESEARCH AND DEVELOPMENT

    **Organization:** Higher Education

    **Schedule:** FULL\_TIME

    **Req ID:** 15262

    \#location


    Employment Type

    Full Time

  • Data Scientist
    Microsoft Corporation    Phoenix, AZ 85067
     Posted 2 days    

    Cloud Operations + Innovation (CO+I) is the team behind one of the World’s largest Cloud Infrastructures, responsible for powering all Microsoft online Products and Services as well as powering Microsoft’s “Cloud First” mission. Our focus is on smart growth, high efficiency, and delivering trusted experience to customers and partners worldwide, and we are looking for passionate, high-energy program managers to help achieve that mission.

    If you want to have fundamental impact on how Microsoft’s Cloud is deployed and operated globally, be involved with one of the most strategically important teams at Microsoft, and have sound technical and business acumen, leadership, creativity, and out-of-the-box thinking are some of the skills you bring to the table - this job is for you!

    We are looking for an exceptional Data Scientist to collaborate with our data science and engineering team to build solutions that improve our Data Center delivery cycle time. As a Data Scientist, you will partner with various teams to develop business requirements to standardize the business input and develop a long-term vision and partnering cross-functionally.

    Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

    In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

    **Responsibilities**

    + Deeply understand the Data Center delivery cycle and underlying information to support leadership and stakeholders make data-driven decisions and continuous process improvements.

    + Apply statistical methods, causal inference, and machine learning to inform Data Center business decisions and optimize our process and systems.

    + Advocate for our members and provide meaningful insights to internal teams (e.g., Scheduling) working to improve the business process and data reporting.

    + Develop and implement innovative solutions to increase the quality of data products and support interactions.

    + Partner closely with cross functional stakeholders to build and deliver world-class support and data insights experiences.

    + Compile comprehensive and accurate client-facing reports on a timely basis.

    + Guide business leaders with confidence in your analytics and reporting to ensure smooth execution.

    + Summarize and clearly communicate data analysis assumptions and results.

    + Collaborate with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive informed decisions.

    Other

    + Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

    **Qualifications**

    **Required Qualifications:**

    + Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field

    + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., applying quantitative methods to structured & unstructured data for exploratory data analysis, pattern recognition, insights generation, metrics development, and scaling reports. ) or consulting experience

    + OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., applying quantitative methods to structured & unstructured data for exploratory data analysis, pattern recognition, insights generation, metrics development, and scaling reports.)

    + OR equivalent experience.

    + Sound knowledge in statistics modeling and machine learning

    + Sound programming skills in data manipulation & processing (SQL & Python).

    + Knowledge of Power BI, including the ability to design and develop interactive dashboards, reports, and data visualizations to support analysis and decision-making.

    **Other Requirements:**

    These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

    **Preferred Qualifications:**

    + Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., applying quantitative methods to structured & unstructured data for exploratory data analysis, pattern recognition, insights generation, metrics development, and scaling reports. )

    + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience

    + Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

    + OR equivalent experience.

    + Ability to communicate associated outcomes and insights succinctly to various team members at all levels, including senior management, to help guide and influence strategic decisions for improvement.

    + Sound problem-solving skills to help refine problem statements and solve them with the available data.

    + Experience collaborating with data analysts, subject matter experts, and decision-makers to develop data-driven insights to improve the overall member experience.

    Data Science IC3 - The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $120,900 - $198,600 per year.

    Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

    Microsoft will accept applications for the role until March 31, 2024.

    \#IPACareers

    \#COICareers

    Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .


    Employment Type

    Full Time

  • Gen AI Data Scientist
    Deloitte    Gilbert, AZ 85295
     Posted 2 days    

    Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.

    Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ...

    Work you'll do

    The Generative AI Engineer will, as part of several client delivery teams, be responsible for developing, designing, and maintaining cutting-edge AI-based systems, ensuring smooth and engaging user experiences. Additionally, the Generative AI Engineer will participate in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review. The kinds of activities performed by the Prompt Engineer will also include, but not be limited to:

    + Working across client teams to develop and architect Generative AI solutions using ML and GenAI

    + Developing and promoting standards across the community

    + Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies

    + Working with leadership and stakeholders to identify AI opportunities and promote strategy

    + Developing and conducting trainings for users across the Government & Public Services landscape on principles used to develop models and how to interact with models to facilitate their business processes

    + Building and prioritizing backlog for future machine-learning enabled features to support client business processes

    The TeamArtificial Intelligence & Data Engineering

    In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

    The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

    Artificial Intelligence & Data Engineering will work with our clients to:

    + Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms

    + Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions

    + Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

    Qualifications

    Required:

    + 6+ years of experience programming in Python or R

    + 5+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM) 5+ years of experience building and maintaining scalable API solutions

    + 5+ years of experience designing solutions to address client requirements

    + 3+ years of experience with the design and implementation (building, containerizing, and deploying end to end automated data and ML pipelines) of automated cloud solutions

    + 5+ years of experience in developing algorithms using data science technologies to build analytical models

    + 5+ years of data extraction/manipulation experience using scripts specific to AI/ML

    + 5+ years of modeling experience using a variety of regression and supervised and unsupervised learning techniques.

    + 5+ years of experience in data wrangling/cleansing, statistical modeling, and programming

    + 5+ years of extensive experience working in an Agile development environment

    + 5+ years of experience for fluency in both structured and unstructured data (SQL, NOSQL)

    + 5+ years of production experience with Apache Spark

    + 5+ years of hands-on experience with web APIs, CI/CD for ML, and Serverless Deployment

    + 3+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, QlikView, Excel and Access

    + 1+ years of experience to have familiarity with Linux OS and Windows servers

    + 1+ years of experience to have knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools

    + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.

    + Expected to co-locate in your designated office/USDC location up to 30% of the time

    + Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

    + Must live in a commutable distance to or be willing to relocate to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA

    + Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

    Preferred:

    + Previous Government Consulting and/or professional services experience

    + In depth understanding of AI protocols and standards

    + Understanding of technology risks and the ability to assess and mitigate them

    + Deep knowledge of a specific domain or industry, with a focus on applying NLP/LLM solutions in that context

    + Experience with debugging and troubleshooting software or solutions design issues

    + Proven ability to stay current with best practices and new technology solutions in the field

    + Ability to display both breadth and depth of knowledge regarding functional and technical issues

    + Experience presenting to clients or other decision makers to present and sell ideas to various audiences (technical and non-technical)

    + Certification from any of the three major cloud platforms (AWS / Azure / GCP) in Cloud Architecture / Engineering / DevOps / ML.

    + Familiarity with Kubeflow or MLflow

    + Experience with machine learning pipelines (Azure ML)

    + Familiarity with the latest Natural Language Processing or Computer Vision related algorithms

    Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.


    Employment Type

    Full Time

  • Senior Data Scientist
    Cardinal Health    Phoenix, AZ 85067
     Posted 2 days    

    Fuse is on a mission to disrupt healthcare. Our focus on technology, design and a product mindset will help drive that disruption and establish Cardinal Health as a leader in healthcare technology. Fuse’s innovation culture and modern product development teams power the evolution of our commercial products and spark the creation of new businesses and products. We leverage technology and insights across the enterprise to solve customer problems and forge new models. Design thinking drives our teams to imagine and invent the next horizon. It’s more than technology innovation – it’s creating new business models beyond our wildest dreams. With a strong leadership team setting the bar high, Fusers are challenged to bring their creativity, technical expertise and diverse perspectives to do the best work of their lives.

    The Data Scientist is a key role in the transformation of business. They will work closely with business stakeholders to understand their goals and determine how data science can be used to achieve those goals. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.

    **_What Data Science contributes to Cardinal Health_**

    The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.

    Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.

    **Responsibilities**

    + Designing and developing machine learning and deep learning solutions and systems.

    + Using statistical analysis determine which data modeling approach to use and running / training machine learning tests and experiments. Implementing appropriate ML algorithms.

    + Mine and analyze large structured and unstructured datasets. Identify the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions.

    + Lead data science projects and partner with cross functional teams to deliver end-to-end advanced analytics/machine learning solution.

    + Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence

    + Work across diverse teams, perspectives and opinions and quickly build consensus.

    + Encourages informed risk-taking and acts as a catalyst for innovation at Fuse; generates practical, sustainable and creative options to solve problems and create business opportunities, while maximizing existing resources.

    + Communicate results and statistical concepts to key business leaders.

    + Create visualizations of data that make distributions, trends, and results easy to understand for business leaders.

    + Diagnose business need, analyze business process, data flows, IT / technical artifacts and extract understanding of how the system or business process works as input into projects / solutions.

    + Proactively develops, maintains and evangelizes technical knowledge in Machine Learning and adjacent technologies. Keeps up-to-date on current trends and best practices.

    + Performs assessments and listens to internal/external customers to understand and anticipate their needs and determine their priorities in the context of the overall enterprise.

    + Possess deep functional and technical understanding of the Machine Learning technologies (Google’s Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.

    + Identify high-value ML business opportunities and work with Business and IT stakeholders to realize business benefit.

    + Assist in implementation of ML related efforts to ensure their operational viability.

    + Assist skill uplift across the Fuse and the business.

    + Understand and enable Commercial Technology’s business via an efficient and effective ML practice that provides ML solutions and outcomes at the most efficient cost.

    + Ensure effective designs and quality deliverables in the ML space by designing and developing machine learning and deep learning systems, running machine learning tests and experiments, implementing appropriate ML algorithms

    + Aide adoption of ML solutions within the business by conducting training, coordinating demos.

    + Support and influence delivery operations within platforms by continually looking for opportunities to streamline delivery, increase business value and measure platform value via metrics and measures.

    + Weigh Risk & ROI against schedule & budget considerations and provides solution recommendations.

    + Ensure projects are delivered in-line with ML Reference Architecture, road map and to the defined standards and best practices.

    + Effectively communicate and influence others towards future state solutions and architectures. Evangelize the purpose and value of Machine Learning solutions.

    **_Qualifications_**

    + Deep knowledge of clinical domain and datasets

    + Experience in Natural language processing (NLP), Prompt engineering, Embedding, Vector DB

    + Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy

    + Proven Machine Learning experience and involvement in data science projects and product delivery.

    + Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.

    + Experience with Machine Learning and related technologies such as Python, other relevant libraries and frameworks like PyTorch and tools like Jupiter Notebooks, git.

    + Strong understanding of machine learning principles, including supervised and unsupervised learning, deep learning, and reinforcement learning. Knowledge of generative models and autoregressive models.

    + Understanding of cloud data engineering and integration concepts.

    + Strong mathematical and statistical skills.

    + Understanding of exploratory data analysis, descriptive analytics, prescriptive analytics, predictive analytics and so on.

    + 10+ years in the Healthcare industry and knowledge of clinical data preferred.

    + MD, PharmD by training and Healthcare informatics experience preferred

    + Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc.

    + Delivery of related information software solutions such as data warehouses and integration platforms.

    + Agile development skills and experience.

    + Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. Advanced technical degree is a plus.

    **_What is expected of you and others at this level_**

    + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects

    + Participates in the development of policies and procedures to achieve specific goals

    + Recommends new practices, processes, metrics, or models

    + Works on or may lead complex projects of large scope

    + Projects may have significant and long-term impact

    + Provides solutions which may set precedent

    + Independently determines method for completion of new projects

    + Receives guidance on overall project objectives

    + Acts as a mentor to less experienced colleagues

    **Anticipated salary range:** $119,800-$171,100

    **Bonus eligible:** Yes

    **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.

    + Medical, dental and vision coverage

    + Paid time off plan

    + Health savings account (HSA)

    + 401k savings plan

    + Access to wages before pay day with myFlexPay

    + Flexible spending accounts (FSAs)

    + Short- and long-term disability coverage

    + Work-Life resources

    + Paid parental leave

    + Healthy lifestyle programs

    **Application window anticipated to close:** 04/20/2024 *if interested in opportunity, please submit application as soon as possible.

    \#LI-Remote

    _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._

    _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._

    _To read and review this privacy notice click_ here (https://www.cardinalhealth.com/content/dam/corp/email/documents/corp/cardinal-health-online-application-privacy-policy.pdf)


    Employment Type

    Full Time

  • Data Scientist, Data Science
    Cardinal Health    Phoenix, AZ 85067
     Posted 2 days    

    The Data Science Advisor position will report to the Senior Manager, CRM and Analytics. This role would be responsible for developing new statistical models or other algorithms to drive increased sales through personalization.

    **_Responsibilities_**

    + Develops algorithms, predictive models or other mathematical approaches to solve business problems

    + Implements and maintains code or algorithm in production environment

    + Develops reporting that helps executives and business partners under the impact of new solutions

    + Collaborates with Marketing team members and other departments to proactively identify areas where insights would enhance our knowledge of the customer and/or increase revenue

    + Support analytics team with adhoc projects as requested

    **_Qualifications_**

    + Advanced degree in Statistics or related field preferred

    + 3+ years experience in advanced analytics, statistics, or data science role preferred

    + Strong programming experience with R and/or Python for statistical modeling and other machine learning applications

    + Ability to clearly and concisely communicate with business partners of varying levels

    + Familiar with current and emerging techniques in analytics (machine learning, deep learning, AI)

    **_What is expected of you and others at this level_**

    + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects

    + May contribute to the development of policies and procedures

    + Works on complex projects of large scope

    + Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives

    + Completes work independently; receives general guidance on new projects

    + Work reviewed for purpose of meeting objectives

    + May act as a mentor to less experienced colleagues

    **Anticipated salary range:** $92,100 - $131,600

    **Bonus eligible:** No

    **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.

    + Medical, dental and vision coverage

    + Paid time off plan

    + Health savings account (HSA)

    + 401k savings plan

    + Access to wages before pay day with myFlexPay

    + Flexible spending accounts (FSAs)

    + Short- and long-term disability coverage

    + Work-Life resources

    + Paid parental leave

    + Healthy lifestyle programs

    **Application window anticipated to close:** 04/30/2024 *if interested in opportunity, please submit application as soon as possible.

    _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._

    _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._

    _To read and review this privacy notice click_ here (https://www.cardinalhealth.com/content/dam/corp/email/documents/corp/cardinal-health-online-application-privacy-policy.pdf)


    Employment Type

    Full Time

  • Medical Lab Scientist II
    Phoenix Children's Hospital     Phoenix, AZ 85016
     Posted 3 days    

    The Medical Laboratory Scientist II performs and interprets standard, complex and specialized laboratory tests. The MLS II has an understanding of the underlying scientific principles of laboratory testing as well as the technical, procedural, and problem-solving aspects. The MLS II correlates abnormal laboratory data with pathologic states, determines validity of test results and need for additional investigation. The MLS II has an understanding of quality control programs, and evaluates computer-generated data and troubleshoots problems. The MLS II is able to participate in the introduction, investigation and implementation of new procedures and in the evaluation of new instruments. The MLS II understands and enforces regulatory requirements and safety regulations. This position receives supervision of completed work activities from the supervisor.


    Industry

    Health Sciences

    Employment Type

    Full Time


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