Top Data Science Jobs

Analyze large datasets to provide actionable insights, design experiments, communicate findings, and lead cross-functional projects in a growth-focused data science role.

Analyze datasets using SQL and Python, evaluate experiments, partner with ML engineers for model development, and communicate insights to stakeholders.

As a Senior Risk Modelling Data Scientist, you'll analyze large datasets using SQL and Python, develop core risk models, and collaborate with cross-functional teams to influence pricing decisions while mentoring junior colleagues.

The Data Scientist role involves creating and managing datasets for LLMs, developing high-throughput data processing scripts, and employing statistical analysis to ensure data quality and performance.

The data scientist will optimize credit and marketplace products using machine learning, create algorithms, analyze experiments, and manage ML infrastructure.

The Data Scientist will design and implement causal inference models for underwriting and portfolio management, create algorithms for credit pricing, and lead ML infrastructure projects.

The Senior Data Scientist II will analyze healthcare data, create models for treatment adherence, and collaborate on analytics projects to improve patient outcomes.

As a Data Scientist II, you will create data solutions, analyze business needs, build models, and present insights to support business decisions.

As a Data Scientist, collaborate with cross-functional teams to solve mathematical problems, optimize pricing models, and analyze data for business opportunities.

As a Data Scientist, you will analyze large data sets using statistical methods, build predictive models, and collaborate with teams to derive insights that drive business solutions.

The Data Scientist 3 will develop and implement machine learning algorithms, analyze datasets for insights, lead a team, and collaborate with other experts. A TS/SCI clearance is required.

The intern will code software to automate processes, analyze fraud using econometric techniques, and handle large datasets.

Seeking a Data Scientist with expertise in Full stack Development and AWS Architecture for a 3-6 month local project.

The Data Scientist will analyze data using machine learning and statistical methods to deliver insights, develop algorithms, and support customers with analytical discussions.

Conduct analyses on complex healthcare data to showcase new technologies and process improvements, using statistics and machine learning techniques to enhance decision-making and patient outcomes.

As a Senior Data Scientist, you'll partner with marketing stakeholders to develop analytical models, generate insights, and improve business decision-making through data-driven recommendations.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

As a Data Scientist, you will enhance business strategies through data science methods, focusing on Experimentation, Causal Inference, and improving member experience. You will collaborate with various teams to execute roadmaps and present research insights.

Data Scientists at Actifai will design and improve algorithms, collaborate with engineers, analyze user behavior, and optimize strategies for client decisions.

Lead scientific initiatives using biostatistics to inform drug discovery and clinical trial design. Guide data science methodologies and collaborate across teams.

The role involves analyzing ad performance, providing data-backed recommendations, leading data science projects, and mentoring team members to enhance advertiser value through data insights.

The Staff Data Scientist will enhance engagement strategies using machine learning, lead cross-functional projects, mentor junior scientists, and collaborate on product insights.

The Data Scientist will design scalable data models, support data transformation, provide business insights, maintain data quality, and drive evidence-based decisions.

The Data Scientist collects and analyzes data to spot trends, recommends data utilization, and communicates findings to business leaders, while developing predictive models and data processes.

As a Data Scientist, you will shape data science efforts, work with teams to understand product usage, mentor junior staff, and build data products.