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Top Data Science Jobs

12 Days Ago
Santa Monica, CA, USA
85 Employees
150K-180K Annually
Senior level
85 Employees
150K-180K Annually
Senior level
Fitness
The Senior Data Scientist will lead the development of a recommendation engine to enhance user engagement with personalized yoga and meditation content. Responsibilities include strategizing, designing machine learning models, collaborating with cross-functional teams, analyzing data for insights, and mentoring team members while ensuring system performance and scalability.
11 Days Ago
New York, NY, USA
Remote
940 Employees
101K-135K Annually
Senior level
940 Employees
101K-135K Annually
Senior level
Analytics
The Senior Data Scientist will lead initiatives using data mining and advanced modeling techniques to provide insights for DTN’s customers in agriculture, oil, gas, and weather sectors. Responsibilities include implementing predictive models, conducting feasibility studies, and creating visualizations to communicate results while collaborating with stakeholders to address their needs.
Top Benefits:
401-K
Company Outings
Dental Insurance
+9 More
12 Days Ago
Bentonville, AR, USA
578,950 Employees
90K-180K Annually
Mid level
578,950 Employees
90K-180K Annually
Mid level
Big Data • Cloud • Logistics • Machine Learning • Retail
As a Data Scientist III, you will develop, deploy, and optimize advanced data science and AI solutions to improve business operations. You will analyze large datasets, build predictive models, work on data architecture, and present insights to stakeholders. The role requires proficiency in programming and machine learning frameworks.
12 Days Ago
Portland, OR, USA
Remote
46 Employees
Senior level
46 Employees
Senior level
Information Technology • Natural Language Processing • Database • Business Intelligence
Senior Data Scientist role at OmniData in Portland. Responsibilities include building data science solutions, analyzing large data sets, developing statistical and ML models, improving decision-making processes, and implementing analytical models in production.
12 Days Ago
Sunnyvale, CA, USA
578,950 Employees
143K-286K Annually
Mid level
578,950 Employees
143K-286K Annually
Mid level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Staff Data Scientist will analyze complex data sets using statistical modeling and machine learning techniques to develop and implement data-driven strategies for improving Walmart's eCommerce products and customer experience. This role involves leading a team, driving A/B testing, and collaborating across various teams to provide insights and recommendations.
12 Days Ago
Bentonville, AR, USA
578,950 Employees
90K-180K Annually
Mid level
578,950 Employees
90K-180K Annually
Mid level
Big Data • Cloud • Logistics • Machine Learning • Retail
As a Senior Data Scientist on the Search Ranking Team, you will analyze vast amounts of data and develop complex machine learning models to enhance product search relevance on e-commerce platforms. Your work will optimize ranking algorithms and ensure customer query intents are effectively understood across various modalities.
12 Days Ago
Linthicum Heights, MD, USA
27 Employees
Senior level
27 Employees
Senior level
Information Technology • Software • Design
The Senior Data Scientist will utilize Python to process data, identify outliers, and ensure data system security. Responsibilities include building and tuning predictive models, creating analytical dashboards, and conducting statistical analysis in support of the Risk Management Framework lifecycle.
10 Days Ago
New York, NY, USA
89 Employees
105K-120K Annually
Senior level
89 Employees
105K-120K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing
The Data Scientist III will process and analyze healthcare data, maintain and optimize data pipelines, and improve the team's codebase while collaborating with experts in causal inference to evaluate product impacts and perform business analytics.
Top Benefits:
401-K
Commuter Benefits
Company Equity
+22 More
12 Days Ago
Sunnyvale, CA, USA
578,950 Employees
117K-234K Annually
Mid level
578,950 Employees
117K-234K Annually
Mid level
Big Data • Cloud • Logistics • Machine Learning • Retail
As a Senior Data Scientist at Walmart, you will analyze large data sets using machine learning and statistical modeling, lead experimentation projects, mentor a team, and collaborate with cross-functional teams to enhance eCommerce offerings.
12 Days Ago
Sunnyvale, CA, USA
578,950 Employees
143K-286K Annually
Mid level
578,950 Employees
143K-286K Annually
Mid level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Staff Data Scientist will leverage advanced machine learning and big data techniques to optimize advertising performance at Walmart. Responsibilities include developing algorithms for ad relevance, processing large datasets, and collaborating with various teams to implement models and improvements.
12 Days Ago
Madison, WI, USA
6,277 Employees
155K-233K Annually
Senior level
6,277 Employees
155K-233K Annually
Senior level
Software
As a Staff Data Scientist, you'll develop machine learning products in collaboration with various teams, analyze complex business issues, define key metrics for AI/ML systems, and ensure effective communication with stakeholders to integrate data-driven solutions into the business.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+49 More
12 Days Ago
Annapolis Junction, MD, USA
26 Employees
94K-198K Annually
Senior level
26 Employees
94K-198K Annually
Senior level
Information Technology
As a Data Scientist at ELEVI, you will analyze large datasets, develop machine learning algorithms, create visualizations, and collaborate with subject matter experts to automate analytics processes. You will also generate reports and insights from the data, while having opportunities to work with various cloud environments and data analysis software.
13 Days Ago
USA
Remote
1,899 Employees
131K-172K Annually
Mid level
1,899 Employees
131K-172K Annually
Mid level
Insurance
As a Data Scientist II at Oscar, you will leverage AI/ML to enhance member engagement and develop analytics to demonstrate the value of novel communication channels. Responsibilities include mentoring junior data scientists, developing data pipelines, and delivering analytical solutions while collaborating across business units.
12 Days Ago
Carlsbad, CA, USA
309 Employees
120K-150K Annually
Mid level
309 Employees
120K-150K Annually
Mid level
Logistics • Transportation
The Senior Data Scientist will develop optimization models for logistics operations, build automated pipelines, define and track KPIs, create financial models, and conduct advanced statistical analyses to inform strategic decisions. The role emphasizes collaboration across teams to enhance time-critical logistics through data-driven solutions.
12 Days Ago
United States
645 Employees
184K-225K Annually
Senior level
645 Employees
184K-225K Annually
Senior level
Healthtech • Information Technology
The Principal Data Scientist leads the development of data-driven solutions, employing advanced analytics and machine learning to derive actionable insights. This role involves managing complex projects, collaborating with cross-functional teams, and developing training materials to enhance data literacy across the company.
Top Benefits:
401-K
Adoption Assistance
Company Outings
+14 More
12 Days Ago
Hunt Valley, MD, USA
2,373 Employees
61K-142K Annually
Mid level
2,373 Employees
61K-142K Annually
Mid level
Big Data • Software
The Data Scientist will develop, improve, and manage data science and machine learning models while collaborating with R&D. Responsibilities include data manipulation, feature engineering, and model implementation. The role also involves communicating insights to stakeholders and ensuring quality control within the data team.
Top Benefits:
401-K
Company Outings
Dental Insurance
+8 More
12 Days Ago
Sunnyvale, CA, USA
578,950 Employees
117K-234K Annually
Senior level
578,950 Employees
117K-234K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Senior Data Scientist role involves identifying data sources, developing and deploying analytical models, coding, conducting data quality checks, and creating visualizations. It requires a solid understanding of the business domain, strong coding skills, and the ability to mentor junior associates. The role emphasizes delivering data-driven insights to enhance business performance and strategic decision-making.
12 Days Ago
United States
Remote
369 Employees
Entry level
369 Employees
Entry level
Marketing Tech • Analytics
As a Data Scientist at Horizontal Digital, you will develop algorithms and predictive models to solve business challenges for Salesforce, enhance CRM applications, and create valuable insights through data analysis and visualization. You will design data models and manage data as a product while collaborating with various teams to deliver analytics and dashboards.
13 Days Ago
Washington, DC, USA
26,500 Employees
Senior level
26,500 Employees
Senior level
Fintech • Information Technology • Payments
The Staff Data Scientist will develop and validate predictive models using advanced machine learning techniques to facilitate fraud detection. This role involves conducting research on emerging modeling technologies, improving processes through MLOps, and collaborating with cross-functional teams to deploy models. Additionally, the role requires managing model risks and conducting analytical analyses for client inquiries.
13 Days Ago
Laurel, MD, USA
21 Employees
Senior level
21 Employees
Senior level
Big Data • Cloud • Security • Software • Analytics
As a Mid-Level Data Scientist at GliaCell, you will provide technical expertise for sustaining mission-critical software and systems for a U.S. Government contract, focusing on adversary defeat, mission management, and data visualization.
14 Days Ago
Mountain View, Vail, AZ, USA
13 Employees
Senior level
13 Employees
Senior level
Insurance
As a Senior Data Scientist at Independence American Insurance Company, you will research, design, and implement data models and algorithms for analyzing diverse datasets. Your role includes developing software and automated processes for data cleansing and integration, designing predictive models, and analyzing experimental results. Collaboration with product and service teams is key to identify data-driven questions and optimize outcomes.
14 Days Ago
Palo Alto, CA, USA
Remote
87 Employees
Mid level
87 Employees
Mid level
Artificial Intelligence • Software
As a Data Scientist, you will build and train AI applications, collaborate with teams globally, develop learning algorithms, and visualize data insights. A strong background in statistical modeling and experience with machine learning tools is essential.
12 Days Ago
Foster City, CA, USA
26,500 Employees
155K-225K Annually
Senior level
26,500 Employees
155K-225K Annually
Senior level
Fintech • Information Technology • Payments
The Staff Data Scientist will lead full-stack development of scoring services, RESTful APIs, and container-based services. Responsibilities include developing software using machine learning technologies, ensuring service reliability and security, and mentoring team members. The role requires collaboration with various teams to architect scalable solutions in a hybrid work environment.
13 Days Ago
USA
Remote
3,700 Employees
175K-206K Annually
Senior level
3,700 Employees
175K-206K Annually
Senior level
Cloud • Fintech • Cryptocurrency • NFT • Web3
As a Senior Data Scientist at Coinbase, you'll analyze complex business problems, guide data metrics, and manage data visualizations. You'll also conduct rigorous experiments, collaborate with cross-functional teams to influence product decisions, and drive impactful projects in the evolving crypto landscape.
13 Days Ago
Chicago, IL, USA
1,973 Employees
130K-200K Annually
Mid level
1,973 Employees
130K-200K Annually
Mid level
Healthtech
The Staff Data Scientist will develop advanced AI models focusing on large language models and Generative AI. This role involves leading data science initiatives, collaborating with interdisciplinary teams, and enhancing AI-driven interactions and personalization for impactful user experiences.
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