Top Data Science Jobs

Design, build, and deploy analytics solutions and predictive models using ML, NLP, and large healthcare datasets. Perform feature engineering, model training/tuning, MLOps, data modeling, visualization, and deliver insights to inform business and customer-health decisions across multiple channels.

Build, validate, and deploy statistical and predictive models on large healthcare datasets. Perform advanced analytics, NLP, and risk/decision analysis. Collaborate with business partners to inform network strategy, provider engagement, and consumer experience. Design data architectures, pipelines, and ML infrastructure.

Develop, validate, and deploy algorithms and predictive models using ML, NLP, and big-data tools. Create dashboards and analytics to improve patient care and healthcare operations, communicate results to stakeholders, and ensure data governance and best practices.

Analyze large company datasets to generate business insights for product, sales, marketing and leadership. Build, validate and deploy predictive models and algorithms, design A/B testing frameworks, assess new data sources, create data architectures, and coordinate with cross-functional teams to implement and monitor model performance and outcomes.

SOSi is seeking a Data Scientist to develop AI/ML models, handle petabyte-scale data, and utilize Python and SQL to automate national security tasks.

The Staff Data Scientist will own the analytical strategy for Firefox, driving data-informed decisions through measurement frameworks, experiments, and user growth analysis, while mentoring other data scientists.

The Data Scientist will build machine learning models to enhance claim audits, optimize performance, and improve healthcare decision-making by analyzing complex data sets.

The Data Scientist will support analytics initiatives, collaborating across functions to build models, map data, and solve business problems using data science techniques.

The Data Scientist will analyze complex datasets, develop predictive models, and collaborate with stakeholders to drive data-driven decisions.

Customer-facing data scientist advising customers on experiment design, statistical methodology, and experimentation architecture; running and analyzing A/B tests; building scalable experimentation programs; creating repeatable frameworks and technical enablement; partnering with Sales, Solutions Engineering, Product, and Engineering to drive customer success.

Partner with Product and Engineering to define product metrics, design experiments and causal analyses, build reporting and models, analyze user behavior and segments, and translate insights into product recommendations while establishing Product Data Science practices.

The Staff Data Scientist will advance machine learning models to optimize claim audits and improve business outcomes in healthcare.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

The role involves building the marketing data science function, developing metrics, dashboards, and models to analyze marketing effectiveness, and fostering a data-informed culture.

The Data Scientist will develop and deploy machine learning models to improve manufacturing and supply chain processes, leveraging enterprise analytics platforms.

The intern will assist the data science team by working on projects related to Ardian's portfolio assets and company-wide initiatives, requiring autonomy with supervision.

The Data Scientist will develop tools for enhancing signature management capabilities, integrate diverse data holdings, and leverage AI/ML solutions for operational support.

The Data Scientist will develop solutions using AWS, validate data formats, maintain source code in GitHub, and collaborate with teams on collection capabilities.

The Staff Data Scientist will lead data science projects focused on fraud detection, analyze complex datasets, and mentor junior scientists while driving strategic initiatives.

The Senior Data Scientist will design and implement machine learning solutions, conduct advanced statistical analyses, and manage data-related tasks, requiring a high level of expertise.

As a Data Scientist at Profound, you'll build predictive models, optimize AI-driven brand visibility, and turn data insights into actionable strategies. Requires proficiency in Python, R, and SQL, with 3+ years of analytics experience.

As a Senior Data Scientist, you'll utilize your leadership and expertise to analyze complex data sets, create insights, and guide teams to solve global challenges using machine learning and AI technologies.

The position involves unlocking insights from data sets using IoT and AI, developing algorithms, and collaborating with clients to solve data-driven problems.

Design and implement AI/ML solutions and advanced analytics for multi-source intelligence. Perform statistical modeling, exploratory analysis, data engineering, automation, and visualization to produce actionable intelligence and support JIOC operations. Collaborate with analysts and engineers, improve data quality, and participate in intelligence planning and technical meetings.

Lead data-science work for matching features: translate product goals into data problems, design and analyze A/B tests, perform exploratory analysis and data mining, generate strategic insights, and collaborate with AI, product, design, and engineering to develop and iterate production ML models.