UNKNOWN

FEED

The Applied Research team is a group of data scientists and content specialists who are experts in leveraging machine learning, natural language processing and generative AI models to develop solutions which deliver value to our users and business. We are seeking a curious and collaborative individual with an eye for simplicity, end-end visibility and impact and that is excited about building models using massive amounts of data, using language models and deploying models.

YEAR

Scribd, Inc

Data Scientist II

You'll design A/B tests that measure product impact, build frameworks that reveal how our AI models perform across user segments, and investigate the hard questions: what makes a good AI-generated presentation, and why does a feature land differently for enterprise versus consumer users? Experience working with large-scale data and building metrics frameworks from scratch, including modern data stack tools like dbt and Snowflake and comfort analyzing unstructured or text data.

Gamma

AI Data Scientist

ea_via_bold

Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.

SynergisticIT is a California-based technology company specializing in software development solutions. Founded in 2010, it focuses on building scalable and efficient applications for businesses across various industries.

The company provides custom software development services, including application design, system integration, cloud solutions, and technology upgrades. Its development approach emphasizes agility, innovation, and aligning solutions with client needs.

SynergisticIT works with organizations of different sizes, helping them adapt to evolving digital demands through reliable and high-quality software. By combining technical expertise with a results-driven mindset, the company aims to deliver solutions that enhance business performance and support long-term growth.

Overall, SynergisticIT positions itself as a bridge between talent and opportunity in the technology sector. By integrating consulting, development, and upskilling services, the company aims to create value for both organizations seeking skilled professionals and individuals pursuing careers in IT.

SynergisticIT

Junior Data Scientist /Data Engineer

jobdiva

Operating at the intersection of data science, pricing strategy, and business decision‑making, the Data Scientist translates analytical questions into robust statistical and machine‑learning models (e.g., price elasticity, demand forecasting, and segmentation) and translates model outputs into clear, actionable insights for pricing leaders and cross‑functional stakeholders. In addition to hands‑on model development, the Data Scientist is responsible for validating analytical approaches, documenting assumptions and limitations, and partnering with analysts and technical teams (e.g., data engineering) to enable scalable data pipelines and production‑ready model deployment into dashboards and decision tools.

VCA Animal Hospitals

Data Scientist

Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan. Outside of contract work, TRSS Data Scientists contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening technical skills, and supporting business development efforts such as proof-of-concept projects and capabilities briefings.

Thomson Reuters provides professionals with the intelligence, technology and human expertise they need to find trusted answers.

Thomson Reuters

We are looking for a senior data scientist to partner with our PED (Product, Engineering, Design) teams and our diverse business units to help them understand our users, our product performance and our marketplace as a whole. Dives deeply into ambiguous questions, and refines them into clear problem statements that address what the business really cares about or what really matters to our users.

PeerSpace, Inc.

Senior Data Scientist

As a Senior Staff Data Scientist, you will go beyond individual problem solving - you will help shape the strategic direction of applied data science, mentor senior and junior scientists, and collaborate closely with engineering, product, operations, and business leaders to move our ML and analytics capabilities toward scalable, production-grade systems. As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in more than 4,000 cities, creating the ultimate food experience by elevating online ordering through innovative restaurant technology, easy-to-use platforms, and an improved delivery experience.

Wonder

Senior Staff Data Scientist

We are looking for a Senior Data Scientist, with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines.

GRVTY

Data Scientist - Senior

GreenHouseAPI

Starting from our user-saved product signals and a live catalog ingested from thousands of retailer feeds, you will design, build, evaluate, and continuously improve the models that learn each user's taste across brand, category, color, price point, and fit. Experience deploying and serving models on a cloud ML platform: GCP Vertex AI strongly preferred (SageMaker or equivalent acceptable) and you are comfortable owning the full model lifecycle: training, deployment, versioning, and monitoring.

<p>People Inc. is Western New York's leading non-profit human services agency. Through a variety of services including residential, employment, community outreach, health care and recreation programs, we help seniors, families and people with disabilities live more healthy, independent and productive lives.</p>
<h1>Our History</h1>
<p>In 1970, a small group of parents and professionals joined together to address the needs of individuals with intellectual disabilities and formed what would grow to become People Inc. The agency expanded its mission to include a wider variety of services to address the needs of people with developmental disabilities and disabling conditions, as well as the general public. Over the years, People Inc. has grown greatly in numbers of populations served, spectrum of services, geographic locations, and number of sites.</p>
<h2>Our Vision</h2>
<p>People Inc. is working toward a future where all persons whose needs limit their integration into the community can reach their highest level of human potential as responsible members of society. It is hoped that these individuals will, to their potential, be contributing and active members in their communities, enjoying the greatest possible degree of independence and acceptance, in all aspects of their lives.</p>
<h2>Our Mission</h2>
<p>People Inc. exists so that individuals with disabling conditions or other special needs have the supports they need to participate and succeed in an accepting society.</p>
<h2>Our Values</h2>
<p>Improving lives, respect, integrity, relentless pursuit of excellence, flexibility and creativity</p>

People Inc

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property - such as manufactured homes and specialty dwellings - and the recreational market, including boats, personal watercraft, classic cars, and more. Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions.

Munchener Ruckversicherungs-Gesellschaft Aktiengesellschaft (Munich Re)

Actuarial Data Scientist (FCAS)

For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results.

You're looking for a challenging position with global growth potential. We're looking for smart, driven candidates who will help us build the sophisticated solutions that enable our clients to succeed. From marketing and sales to design, development and finance, we offer a number of different career paths that are both challenging and rewarding. Seize the opportunity to grow with us - and put your passion for excellence to work. <br/><br/>LexisNexis, a division of Reed Elsevier is an Equal Opportunity/Affirmative Action Employer. 

LexisNexis

Lead Data Scientist

This is an exciting opportunity to lead the development of statistical models and conduct analyses that directly support the organisation's sales and growth initiatives. Our client is a global Financial Services business looking for a Senior Data Scientist to join the team permanently.

Parker B Associates

Preferred qualifications: 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

Google LLC

Staff Data Scientist, Measurement Methodology Innovation

The position at this level works with multiple teams of data scientists, analysts, and visualization experts and mentors junior risk data scientists as well as independently contributes to solving complex business problems and enabling effective risk management. Additionally, the position at this level requires effective leadership and project management skills as well as in-depth knowledge in quantitative analytical methods, data management, visualization, and programming skills suitable to drive data-driven decisions.

<p>Regions Financial Corporation (NYSE:RF), with $121 billion in assets, is a member of the S&P 500 Index and is one of the nation's largest full-service providers of consumer and commercial banking, wealth management, mortgage, and insurance products and services. Regions serves customers in 16 states across the South, Midwest and Texas, and through its subsidiary, Regions Bank, operates approximately 1,700 banking offices and 2,000 ATMs. Additional information about Regions and its full line of products and services can be found at www.regions.com.</p>

Regions Financial Corp

Risk Data Scientist

Today, as the first North American steel company to have declared a 2050 net-zero greenhouse gas emissions goal, we remain as innovative as ever, leading transformation across our industry while continuing to make products for everyday life - from industries as far ranging as automotive, construction, containers and packaging, appliances, and energy. This is a high-impact opportunity to work at the intersection of Finance, data engineering, and AI to improve forecast accuracy, reduce manual effort, strengthen financial insights, and enable faster, more confident decision-making for senior leadership.

<p>U. S. Steel is one of the leading producers of value-added steels and the largest integrated steel producer headquartered in the United States. We are a high-tech, leading-edge company whose rich history of talented people, high-quality products, and innovation spans more than a century. Our vision is clear — Making Steel. World Competitive. Building Value.</p>
<p>U. S. Steel is a major supplier of high-quality hot-rolled, cold-rolled, and coated sheet products and the continent's largest producer of tubular products, meticulously designed to meet a new generation of demands.</p>
<p>We maintain major production operations in the United States, Canada, and Central Europe, where our annual raw steelmaking capability of 29.3 million net tons translates into a wide range of value-added steel sheet and tubular products for various industries, including appliances, automotive, construction, and energy.</p>
<p>Above all, our strength is our people. With more than 38,000 diverse and talented employees worldwide, we achieve strong business results in an environment of teamwork and inclusion.</p>

United States Steel Corp

Data Scientist III

Benefits and Perks: Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we're fortunate to provide all of our Hippos with: Relocation Assistance- Support available for qualified candidates relocating to one of our hub locations. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands.

Hippo Insurance

Actuarial Data Scientist

Benefits and Perks: Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we're fortunate to provide all of our Hippos with: Relocation Assistance - Support available for qualified candidates relocating to one of our hub locations. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands.

Hippo Holdings Inc

Qualifications/Skills and Competencies Experience: Experience must include four (4) years involving each of the following: Financial data analysis utilizing Microsoft Excel and project-based consulting presentation utilizing Microsoft PowerPoint; Designing and managing ETL/ELT data pipelines using REST architecture with Apache Airflow; Ingesting, transforming, and storing structured and semi-structured data into data warehouses including MySQL database and ADLS Gen2; Transforming and analyzing large-scale datasets using Databricks, PySpark SQL, MySQL and Python; Applying machine learning and large language models (LLMs) to process structured and unstructured data; Developing data visualizations and BI solutions with Power BI and SAP Analytics Cloud; and. Education and Occupational Experience: Bachelor's degree or foreign equivalent in Computer Science, Data Science, Finance, Mathematics, or a related field of study and six (6) years of progressive post-baccalaureate experience in the job offered or related occupation.

SAP SE

ADAPTED_NOW

Bachelor's degree in medical laboratory science/medical technology, OR Bachelor's degree in chemical or biological science (transcripts may be reviewed to determine eligibility), AND EITHER Certification (MLS or categorical) OR a certificate of completion/letter of attestation on school letterhead documenting completion of any categorical or combination of categoricals from an accredited Medical Laboratory Science program. For certain specialty disciplines ONLY (Toxicology, HLA, HCTT, etc.) where no certification is available from a certifying agency, a bachelor's degree with one year of experience in that discipline is required.

Sonora Quest Laboratories

Medical Lab Technician or Scientist

JobAdX

In this role, you'll work on some of the most important data science problems across Apartment List - from demand-side renter acquisition and marketing models like User Value Modeling, to supply-side partner models like Supply Value Score, to ranking, personalization, renter intent, and emerging Pathmaker AI work that coordinates the renter journey in real time. As a Staff-level IC, you'll help shape the Data Science roadmap, raise the bar for modeling and experimentation, and partner deeply with Product, Engineering, Design, Analytics, Marketing, GTM and Growth to turn ambiguous opportunities into measurable impact.

Data Scientist Jobs in the United States

Data Scientist II Scribd, Inc

AI Data Scientist Gamma

Junior Data Scientist /Data Engineer SynergisticIT

Data Scientist VCA Animal Hospitals

Data Scientist Thomson Reuters

Senior Data Scientist PeerSpace, Inc.

Senior Staff Data Scientist Wonder

Data Scientist - Senior GRVTY

Senior Data Scientist People Inc

Actuarial Data Scientist (FCAS) Munchener Ruckversicherungs-Gesellschaft Aktiengesellschaft (Munich Re)

Lead Data Scientist LexisNexis

Data Scientist Parker B Associates

Staff Data Scientist, Measurement Methodology Innovation Google LLC

Risk Data Scientist Regions Financial Corp

Data Scientist III United States Steel Corp

Actuarial Data Scientist Hippo Insurance

Actuarial Data Scientist Hippo Holdings Inc

Senior Data Scientist SAP SE

Medical Lab Technician or Scientist Sonora Quest Laboratories

Staff Data Scientist Apartment List Inc

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