UNKNOWN

FEED

4P Consulting

Data Scientist 3 4P/851

ea_via_bold

features for machine learning models, enhancing their predictive power. updated on the latest data science tools, techniques, and trends through ongoing.

Data Scientist

This professional combines technical expertise, advanced analytics, and strategic thinking to transform data into actionable insights, optimize decision-making, and mentor emerging talent, ensuring sustainable growth in data-driven operations. Overview: A Data Scientist with 5 to 10 years of experience plays a pivotal role in leveraging data to uncover actionable insights, create predictive models, and drive informed decision-making within an organization.

Data Scientist 2 - 4P/114

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.

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 - FDE

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 6+ 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 8+ 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 1+ year(s) 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 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

Senior Data Scientist - FDE

The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. What You Will Do: Formulate the strategic and tactical steps to carry out the model development lifecycle end-to-end (i.e. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and model implementation).

Hertz is the largest worldwide airport general use car rental brand, operating from approximately 10,090 corporate and licensee locations in approximately 145 countries. Our Dollar and Thrifty brands have approximately 1,400 corporate and franchise locations in approximately 75 countries. Hertz is the number one airport car rental brand in the U.S. and at 130 major airports in Europe. Hertz is an inaugural member of Travel + Leisure's World's Best Awards Hall of Fame and was recently named, for the thirteenth time, by the magazine's readers as the Best Car Rental Agency. Hertz was also voted the Best Overall Car Rental Company in Zagat's 2013/14 U.S. Car Rental Survey, earning top honors in 14 additional categories, and the Company swept the global awards for Best Rewards Program and Best Overall Benefits from FlyerTalk.com. Product and service initiatives such as Hertz Gold Plus Rewards, NeverLost®, and unique cars and SUVs offered through the Company's Adrenaline, Prestige, Green Traveler, and Dream Car Collections, also set Hertz apart from the competition. Additionally, Hertz owns the vehicle leasing and fleet management leader Donlen Corporation and operates the Hertz 24/7TM hourly car rental business. The Company also owns a leading North American equipment rental business, Hertz Equipment Rental Corporation, which includes Hertz Entertainment Services. More information about the Company can
		be found at <a href="http://www.abouthertz.com/" target="_blank">www.abouthertz.com.</a> 
		 
	Learn more about Hertz by visiting <a href="http://www.hertz.com" target="_blank">www.hertz.com</a>
 										Hertz is an Equal Opportunity Employer.

Hertz Corp

Senior Data Scientist - Fleet Analytics

This position involves analyzing large-scale IoT data from water meters, building predictive models, and collaborating with cross-functional teams to deploy data science solutions into production. As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform.

Neptune Technology Group

The team owns the quality, enrichment, and delivery of the property and real estate reference data that powers ICE''s Fixed Income and Data Services products, and increasingly contributes to enterprise artificial intelligence and machine learning initiatives as part of ICE''s AI Center of Excellence. In the near term, the role centers on ensuring that large real estate datasets, including deed, assessment, and address records, are accurate, well matched, and fit for use in downstream analytics such as home price indices and portfolio insights.

Intercontinental Exchange Inc

The Senior Technical Lead will be responsible for overseeing the development and implementation of technical solutions that leverage SQL databases, perform data analysis, and utilize Python programming for automation and data manipulation tasks. 2. Strong data analysis skills to extract, clean, and analyze data for business insights and decision-making.

Tekfortune is a software solutions company providing project development and staff augmentation services to companies in various industries including Healthcare, Banking, Finance, Telecommunication and Aviation.
 
Tekfortune Inc delivers solutions to a wide variety of organizations of various sizes and industries. Our clients include mid-market to Fortune 1000 companies spanning across industries such as: Insurance, Financial, Pharmaceutical, Manufacturing, Retail and many others.
 
In Tekfortune Inc, we are offering selection of services and solutions at very reasonable rates. With years of experience in the placement and recruitment Industry and over time we have acquired the knowledge essential to comprehend the exact need and dependence on customers. Therefore we provide the customers the best and also the brightest candidates for vacancies. Moreover, by understanding the working interest of customers who is able to place them within the companies where they are able to get maximum opportunity for professional growth.
 
Tekfortune Inc has a strong emphasis on quality. Its goal would be to achieve client satisfaction by looking into making deliveries satisfaction of customer's business needs. Our ability to quickly identify and effectively employ proven fundamental principles, techniques and resources yields highly desirable results for our clients.
 
We understand that each industry and organization share a level of uniqueness that requires a tailored approach in order to deliver specific solutions. Such factors as client culture, industry regulations, organizational maturity, financial health and many more items may impact our approach to delivering client solutions.
 
Having served a wide variety of clients has provided Tekfortune the ability to build subject matter expertise across numerous industries. Our industry expertise combined with our specialized knowledge of Business Process Improvement, Requirements Management and Program & Project Management provides a powerful combination and a tremendous value to our clients.
 
We are run by a group of industry experts who have decades of experience in delivering custom solutions to our clients.

Tekfortune Inc.

jobdiva

This strategic role is ideal for a professional with deep technical expertise, strong leadership capabilities, and a proven track record of leveraging advanced analytics and machine learning to solve complex business challenges. We are seeking a highly experienced and innovative Senior Data Scientist to lead the development and implementation of data-driven solutions across the organization.

Data Scientist 3 4P/298

The Data Scientist II is responsible for leveraging large and complex datasets to uncover insights, develop predictive models, and drive data-informed decision-making across the organization. The ideal candidate is a strategic thinker who can translate business challenges into scalable analytical solutions while mentoring junior team members.

Data Scientist II 4P/573

OTHER

Deliver AI-driven solutions that measurably improve key product or operational metrics (e.g., revenue uplift, cost reduction, consumer satisfaction, platform efficiency, prediction accuracy, latency reduction). Develop, fine-tune, and optimize machine learning and generative AI models including prompt engineering strategies and structured evaluation frameworks for LLM-based systems to ensure performance, scalability, and reliability.

Repay - Realtime Electronic Payments

Broadbean

While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more. 5+ years of deep technical experience in machine learning, knowledge graphs, agents, evaluation frameworks for agentic outputs, graph neural networks, deep learning, computer vision, and statistics-related work.

McKinsey & Co Inc

Senior Data Scientist - Life Sciences.AI

The role partners across Revenue Management, Pricing, Sales, Product, Distribution, Operations Research, IT, and vendors to identify opportunities, define requirements, provide insights, prototype products, and deliver end-to-end solutions. What You'll Do: Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or optimization modeling.

The Hertz Corporation

Sr Data Scientist - Commercial

Role: Lead Data Scientist with Vertex AI Location: Alpharetta, GA Mode of work: 5Days Onsite Looking for 12+years profiles only Visa: USC & GC only (It’s a W2 Role) Core Responsibilities:We are seeking a strategic, cloud-native Data Scientist Consultant with deep expertise in Google Cloud Platform (GCP) to lead enterprise-wide data transformation initiatives. This highly visible role blends technical depth with executive engagement, helping clients define and implement modern data strategies and frameworks that drive business value, compliance, and maturity—leveraging GCP-native tools like Data plex, Data Catalog, Big Query, and Vertex AI.

Polar IT Services

Lead Data Scientist

This role focuses on developing, optimizing, and enhancing intelligent solutions using Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) servers. Norfolk Southern also has the most extensive intermodal network in the eastern U.S., serving a majority of the country's population and manufacturing base, with connections to every major container port on the Atlantic coast as well as the Gulf of Mexico and Great Lakes.

Norfolk Southern Corp

Lead Data Scientist - GenAI

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

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.

Google LLC

Business Data Scientist Intern, PhD, Summer 2027

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.

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

Sr Data Scientist - AI Engineer

What you'll be doing in this 6-month engagement: Design and deploy intelligent models by applying advanced statistical techniques, traditional machine learning algorithms, deep learning architectures, and modern approaches such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI. Optum Payment Integrity Decision Intelligence is seeking a Senior Data Scientist for a sharp, high-impact 6-month contract focused on delivering practical AI/ML solutions that improve efficiency, prioritisation, and medical cost savings within Payment Integrity operations.

Data Scientist Jobs in Atlanta, GA

Data Scientist 3 4P/851 4P Consulting

Data Scientist 4P Consulting

Data Scientist 2 - 4P/114 4P Consulting

Principal Data Scientist - FDE Microsoft Corp

Senior Data Scientist - FDE Microsoft Corp

Senior Data Scientist - Fleet Analytics Hertz Corp

Data Scientist Neptune Technology Group

Data Scientist Intercontinental Exchange Inc

Data Scientist Tekfortune Inc.

Data Scientist 3 4P/298 4P Consulting

Data Scientist II 4P/573 4P Consulting

Data Scientist Repay - Realtime Electronic Payments

Senior Data Scientist - Life Sciences.AI McKinsey & Co Inc

Sr Data Scientist - Commercial The Hertz Corporation

Lead Data Scientist Polar IT Services

Lead Data Scientist - GenAI Norfolk Southern Corp

Data Scientist Waystar

Business Data Scientist Intern, PhD, Summer 2027 Google LLC

Sr Data Scientist - AI Engineer Home Depot

Sr. Data Scientist Expert In Recruitment Solutions

Similar Job Searches

See More Jobs

Stand out to leading employers.