Top Data Science Jobs

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

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.

The Staff Data Scientist will lead revenue forecasting efforts, develop models in Python, and communicate insights to senior leadership while mentoring other data scientists.

The Staff Data Scientist leads revenue forecasting and reporting, develops and maintains models, and communicates insights to senior leadership.

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

As a Data Scientist, you'll develop and refine predictive models and recommend products, translating complex data into actionable insights while collaborating with various teams.

The Data Scientist will analyze data sets, develop predictive models, collaborate with stakeholders, and visualize insights to drive business growth.

As a Data Scientist, you'll analyze structured and unstructured data, develop algorithms, and create visualizations to aid decision-making for clients.

Lead end-to-end data science projects to enhance Parafin's underwriting engine by developing predictive models, optimizing pricing, and collaborating with engineering teams.

As a Senior Data Scientist, you'll analyze complex data sets, develop algorithms, and create solutions for clients, utilizing skills in programming and machine learning.

As a data scientist, you'll analyze complex data sets, lead projects, and utilize machine learning to provide insights for informed decisions across various sectors.

Lead data science projects by exploring, cleaning, and analyzing structured and unstructured data. Design data pipelines, develop predictive models, create visualizations, and guide teammates. Communicate findings clearly at both strategic and technical levels to inform client decisions.

Design, build, and operationalize interoperable data models, taxonomies, and ontologies; perform EDA and anomaly detection; translate unstructured data into standardized formats; implement IC/DoW/AF-compliant solutions and collaborate with stakeholders to operationalize workflows.

The Data Scientist will analyze structured and unstructured data, develop algorithms, and provide insights to clients for informed decision-making.

As a Senior Data Scientist, you'll lead ML lifecycle processes, collaborate on AI solutions, and develop predictive models while ensuring compliance and performance.

Develop and implement data science models to support business needs. Analyze data, ensure quality, and collaborate with stakeholders to deliver solutions.

As a Data Scientist, you will build machine learning models, manage data pipelines, and contribute to healthcare analytics to drive product growth.

As the Staff Data Scientist, you will lead the data science function, driving strategy, mentoring peers, and shaping product direction through advanced analytics and experimentation.

As a Data Scientist, you will explore and analyze data, develop predictive models, and present findings to leadership to aid decision-making.

As a Data Scientist, you'll analyze complex datasets, develop algorithms, and provide insights to solve global issues using machine learning and AI.

As a Data Scientist, you'll analyze complex data sets, develop predictive models, and lead algorithm development to provide actionable insights for clients across sectors.

Develop end-to-end data science models to optimize sales and marketing, collaborating with multi-functional teams, and improving AI systems through advanced analytics.

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.

The Data Scientist will analyze high-volume structured and unstructured data, support analytic requirements, and use various programming languages for large scale processing.