FULL_TIME

FEED

UNKNOWN

Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL. Provides direct technical support and helps guide, implement, and maintain further improvements to bioinformatics software, databases, and interfaces and works with the entire bioinformatics team to diagnose and fix related issues.

Emory University

Assistant Scientist, Bioinformatics- School of Medicine, BMI

[AW]-iCims

Assistant Scientist, Bioinformatics School of Medicine, BMI

Data Visualization: Createcompelling data visualizations tocommunicate findings effectively to bothtechnical and non-technical stakeholdersusing tools like Tableau, Power BI, orPython libraries. A Data Scientist with 5 to 10 years of experience is a critical asset to an organization, capable of transformingdata into actionable insights, buildingpredictive models, and driving data-drivendecision-making.

4P Consulting

Data Scientist

ea_via_bold

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

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

A day in the life: At Hertz, our senior data scientists are responsible developing and defining best practices for analytical methods to generate informative research, reports, visualizations, and dashboards using internal and external data to provide actionable and strategic insights. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to business teams and leaders to highlight potential risks and opportunities that initiate the drive for change.

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.

The Hertz Corporation

Sr Data Scientist

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

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

As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. Key Responsibilities : Data Collection : Gather and collect large datasets from multiple sources, including APIs, databases, and external providers.

Data Scientist 1

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role requires advanced analytics, machine learning expertise, and strong problem-solving skills to extract actionable intelligence from large and complex datasets.

Data Scientist 2 4P/187

ADAPTED_NOW

With the support and investment needed to explore new frontiers in generative AI, you’ll be working alongside talented colleagues, innovating and leading projects that will transform how we manage risk and serve our customers. GenAI Solutions: 3+ years of experience building Generative AI Solutions, including designing and building RAG frameworks, validation pipelines, observability, and monitoring solutions.

AIG and its member companies form one of the world’s leading insurance organizations. We provide insurance for businesses and individuals, helping individual customers plan for their futures by offering life insurance, travel insurance, product warranty, auto insurance and retirement products. Our commercial clients have come to rely upon our risk expertise and financial strength to help them address some of their most complex challenges – from huge construction projects to protecting themselves from the emerging threats to data security. We offer our people the chance to grow in a dynamic company that values teamwork, fresh perspectives, and a commitment to helping their clients.

American International Group

Data Scientist, GenAI

American International Group Jobs

With the support and investment needed to explore new frontiers in generative AI, you’ll be working alongside talented colleagues, innovating and leading projects that will transform how we manage risk and serve our customers. Agentic Solution: Experience implementing advanced agentic architectures, such as autonomous agents capable of multi-step reasoning and decision-making or integrating agentic solutions with large-scale enterprise systems.

Senior / Principal Data Scientist, GenAI

With the support and investment needed to explore new frontiers in generative AI, you'll be working alongside talented colleagues, innovating and leading projects that will transform how we manage risk and serve our customers. GenAI Solutions: 3+ years of experience building Generative AI Solutions, including designing and building RAG frameworks, validation pipelines, observability, and monitoring solutions.

Data Scientist, Genai

With the support and investment needed to explore new frontiers in generative AI, you'll be working alongside talented colleagues, innovating and leading projects that will transform how we manage risk and serve our customers. Agentic Solution: Experience implementing advanced agentic architectures, such as autonomous agents capable of multi-step reasoning and decision-making or integrating agentic solutions with large-scale enterprise systems.

Senior / Principal Data Scientist, Genai

Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.

YEAR

PwC’s accounting practice originated in London well over a century ago. As times changed and PwC expanded worldwide, our commitment to clients—like you—never wavered. With us, you’re always supported by a global network of more than 223,000 people in 157 countries with one goal: to help your business thrive.

PwC’s professional services include audit and assurance, tax and consulting that cover such areas as cybersecurity and privacy, human resources, deals and forensics. We help resolve complex issues and identify opportunities across these industries.

Let’s combine your ​aspirations with our world-class capabilities to achieve your goals.

PricewaterhouseCoopers LLP

AI & GenAI Data Scientist - Manager

AI & Genai Data Scientist - Manager

The Principal Scientist should have experience across the important technologies in the sensor technology space, including signal processing, RF systems hardware, antenna technology, electromagnetics, system integration, field testing, data collection, missions and CONOPs, along with a proven track record of delivering quality results to customers in the Department of Defense (DoD) and Intelligence Communities (IC). STR is seeking a Principal Scientist to work across the company to develop a cohesive strategy and provide direction, technical oversight and review across the portfolio of sensing and counter-sensing programs, particularly in the development of new RF technologies, electromagnetic analysis/modeling and antenna development.

Principal Scientist

GreenHouseAPI

This role sits at the intersection of Workday's Data Cloud business, partnering directly with the Data Cloud organization (SVP/GM, Product Management, Engineering, and GTM teams) to bring analytical rigor and powerful business insights to a fast-growing, consumption-based product line. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role).

Workday Inc

Sr Product Data Scientist

It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws.

About Capgemini

A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of over 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion (about $15.6 billion USD at 2018 average rate).

Visit us at www.capgemini.com. People matter, results count.

Capgemini SE

Capgemini Invent - Data Scientist

Responsibilities:Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insightsApplies agile practices for project management, solution development, deployment, and maintenanceCreates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in productionManages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environmentDelivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverablesMitigates risk by identifying potential issues and developing controlsResearches the latest advances in the fields of data science and artificial intelligence to support business analyticsOverview of Global Risk Analytics: Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM), responsible for developing a consistent and coherent set of models and analytical tools for effective risk and capital measurement, management and reporting across the bank. Required Technical Skills:Experience developing solutions using Python and SQL.Experience with Large Language Models (LLMs) and associated frameworks and tools, including: (1) LangChain, (2) Model Context Protocol (MCP), (3) Retrieval Augmented Generation (RAG), (4) Vector databases, and (5) LangGraphExperience with Git and modern software development practices.

Circuit Design Engineer Jobs in Massachusetts

Assistant Scientist, Bioinformatics- School of Medicine, BMI Emory University

Assistant Scientist, Bioinformatics School of Medicine, BMI Emory University

Data Scientist 4P Consulting

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

Data Scientist Repay - Realtime Electronic Payments

Sr Data Scientist The Hertz Corporation

Data Scientist II 4P/573 4P Consulting

Data Scientist 2 - 4P/114 4P Consulting

Data Scientist 1 4P Consulting

Data Scientist 2 4P/187 4P Consulting

Data Scientist, GenAI American International Group

Senior / Principal Data Scientist, GenAI American International Group

Data Scientist, Genai American International Group

Senior / Principal Data Scientist, Genai American International Group

AI & GenAI Data Scientist - Manager PricewaterhouseCoopers LLP

AI & Genai Data Scientist - Manager PwC

Principal Scientist STR

Sr Product Data Scientist Workday Inc

Capgemini Invent - Data Scientist Capgemini SE

Data Scientist I Bank of America Corp

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