UNKNOWN

FEED

Required Qualifications: Doctorate 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 Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).

YEAR

DO WHAT YOU LOVE Make your mark on the world’s most used technologies. Develop the next hit mobile application. Pioneer a startup that could be the next big thing. At Microsoft, you choose your path. Headquartered in Redmond, Washington, Microsoft is a top innovator in both the consumer and enterprise technology industry. Just a few of the many things our products do are unleash creativity, connect businesses, and make learning more fun. But our continued success is based on one thing: our employees. We hire amazing, talented people and give them the opportunities—and the tools—to succeed. WHY MICROSOFT? As a Microsoft employee, you’re surrounded by a diverse group of the smartest people in your field. This fosters new ideas, better business results, and creates a dynamic work environment. In the office, you’re constantly challenged and supported by your colleagues. Every day holds something new and exciting. We also offer unparalleled depth and breadth of career opportunities. As an industry leader in multiple fields, working for Microsoft means being able to do whatever you feel passionate about—and being able to make an impact in that field. From day one, we give our employees significant responsibility. This means that you’ll know that you directly contributed to something that has a positive impact on people worldwide. Whether you choose to work in management, dive deep into the newest technology, or explore multiple professions, you’ll find everything you need at Microsoft to drive your career—and to make a difference. WE GET IT – YOU’RE MORE THAN YOUR JOB Everyone works differently and is motivated by different things. We also understand that there’s more to you than your job. That’s why we offer competitive pay and a wide assortment of benefits-- to help you make the most of life at work and away from it. GET THE BALL ROLLING

Microsoft Corp

Principal Data Scientist

Doctorate 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 Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Doctorate 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 Masters 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 Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

Principal Data Scientist - FDE

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. In this vital role you will join the Digital Process and Systems Analysis group within Process Development plays a key role in providing data infrastructure, platforms, and analytics to support engineering teams across our network, ensuring state-of-the-art data insights to drive innovation and efficiency for the commercialization and optimization of Amgen's pipeline.

At Amgen, we believe in a “biology first” approach. We use cutting-edge science and technology to study the subtlest biological mechanisms in search of therapies that will improve the lives of those who suffer from serious diseases. Amgen believes the cure for disease can be found inside each and every one of us.

Amgen Inc.

Sr. Data Scientist - Process Modeling

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Provider organizations are sitting on enormous clinical and operational data assets, but turning those assets into deployed, trusted AI systems at scale requires the kind of rigorous, multi-disciplinary approach that McKinsey and QuantumBlack Labs are uniquely positioned to deliver. You will design, build, and deploy ML/AI solutions across priority provider use cases; clinical decision support, care management, revenue cycle optimization, patient access, and agentic workforce tools; with clear outcome accountability.

McKinsey & Co Inc

Senior Data Scientist

15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented. 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies.

As an essential retailer to the communities we serve, our stores are open and our warehouse distribution centers are running. We’re taking measures to keep our associates safe, including:<ul><li>Providing face coverings and gloves to associates</li><li>Limiting the number of customers in stores at one time</li><li>Promoting social and physical distancing practices</li><li>Implementing additional cleaning measures to sanitize facilities</li></ul>

Home Depot

Data Scientist - Space Intelligence

In this role, you will drive applied data science work that goes beyond modeling-mining structured and unstructured data to uncover deeper drivers, patterns, and opportunities that inform how the business supports its customers. Strong project management skills; effectively and independently prioritizes and manages own projects simultaneously and provides direction on projects and prioritization to less experienced team members.

Unum Group

Principal Data Scientist - CX Analytics

15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented. 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage.

Sr Data Scientist, Online Experimentation

Key Responsibilities: 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Position Purpose: The Associate Data Scientist drives business profitability and seamless acquisition of The Home Depot's recent integrations by acting as a critical bridge between data engineering, analytics, and overarching business strategy.

HOUR

The Home Depot Inc

Associate Data Scientist - Decision Analytics

15% Technical Exploration & Development- Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented. 55% Solution Development- Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies.

Data Scientist - Decision Analytics

Working alongside our team of product managers and software developers, you will help design and deploy these solutions to the Deposco platform - affecting real value in our customers' businesses. The right candidate will have a strong background in data science methods, an enthusiasm for problem-solving, self-motivation, and effective communication skills.

Deposco

Senior Data Scientist - AI Focus

Core business capabilities: Demonstrated communication skills, experience in financial services, leadership experience working with senior management and executive leadership, and attention to detail while effectively and independently prioritizing work and managing multiple projects simultaneously. Core Data Science Capabilities: Deep expertise in at least two of the following skillsets preferred; and competency in the other: Programming & Process automation: Experience with file I/O, database integrations, and APIs to build automated analytics pipelines.

UNUM Group

Data Scientist II - CX Analytics

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Bellevue, WA, USA; Cambridge, MA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; South San Francisco, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA. This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).

Google LLC

Data Scientist, Research Intern, PhD, Summer 2027

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Bellevue, WA, USA; Cambridge, MA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San José, CA, USA; Santa Cruz, CA, USA; South San Francisco, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA. You will provide technical mentorship in delivering project work including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models that provide insights to the business.

Business Data Scientist Intern, PhD, Summer 2027

The Lead Data Scientist - Digital Elevator Solutions will play a critical role within TK Elevator's North America Digital Operations Center (DOC), transforming IoT, service, and operational data into advanced analytics and AI-driven solutions that improve equipment reliability, field productivity, service delivery, and customer outcomes. The ideal candidate is equally comfortable developing models in Python, exploring complex datasets in SQL and Databricks, collaborating with technical teams, discussing operational challenges with field leaders, and communicating results and business impact to senior stakeholders.

TK Elevator Corp

Lead Data Scientist - Digital Elevator Solutions

The client is a global provider of digital business transformation, digital engineering, and information technology (IT) outsourcing services that accelerate our clients journey to their digital future. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management.

ApTask

Data Scientist

jobdiva

FULL_TIME

The Senior Data Scientist helps convert prioritized APM use cases into reliable production solutions by combining statistical analysis, machine learning, time-series modeling, sensor data interpretation, and practical understanding of maintenance and reliability workflows. Responsibilities & Qualifications: The Senior Data Scientist, (APM), supports the design, development, and deployment of data science and machine learning solutions that improve asset reliability, reduce unplanned downtime, and strengthen maintenance decision-making across Novelis’ manufacturing operations.

Novelis Corporate HQ

Sr Data Scientist (APM)

[AW]-iCims

The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being.

Southern Co

We''re looking for a Senior Ontology & Knowledge Graph modeling to own the ontology and knowledge graph strategy across all of Gas Power including services, engineering, and commercial domains, ensuring they interoperate as one coherent semantic layer rather than a set of individually correct but disconnected models. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion.

GE Vernova Inc

Senior Staff Data Scientist, Ontology Modeling

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.

Waystar Holding Corp

MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics or related field; Proficient in Machine Learning (training and testing, avoiding overfit, etc.); Knowledge of Big Data technologies such as Spark, Hadoop and related; Proficiency in bash, Python and either Java or Scala; Knowledge of resource monitoring and runtime optimization (both at JVM and OS level); Superior oral, presentation, and written communication skills; Fraud & Digital business domain experience (preferrable); Customer facing experience is a plus; Knowledge of statistics or data visualization is a plus; Knowledge of tree based algorithms (Random Forests, XGBoost, LGBM) is a plus; The Customer Success Team is responsible for delivering our product to our clients. Iteratively computing features and tuning parameters to improve the quality of the model; Communicating your findings to the project manager and assisting him/her in decision making on the Data Science part of the project; Work together with key stakeholders (data scientists, engineers, risk managers) from our clients; Work with other parts of the organization (Product, Research, etc.) to improve processes, best practices and tooling.

Engineering Assistant Jobs in Georgia

Principal Data Scientist Microsoft Corp

Principal Data Scientist - FDE Microsoft Corp

Sr. Data Scientist - Process Modeling Amgen Inc.

Senior Data Scientist McKinsey & Co Inc

Data Scientist - Space Intelligence Home Depot

Principal Data Scientist - CX Analytics Unum Group

Sr Data Scientist, Online Experimentation Home Depot

Associate Data Scientist - Decision Analytics The Home Depot Inc

Data Scientist - Decision Analytics Home Depot

Senior Data Scientist - AI Focus Deposco

Data Scientist II - CX Analytics UNUM Group

Data Scientist, Research Intern, PhD, Summer 2027 Google LLC

Business Data Scientist Intern, PhD, Summer 2027 Google LLC

Lead Data Scientist - Digital Elevator Solutions TK Elevator Corp

Data Scientist ApTask

Sr Data Scientist (APM) Novelis Corporate HQ

Principal Data Scientist Southern Co

Senior Staff Data Scientist, Ontology Modeling GE Vernova Inc

Senior Data Scientist Waystar Holding Corp

Senior Data Scientist Feedzai

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