Top Data Science Jobs

The Sr. Data Scientist will develop advanced marketing measurement solutions, mentor junior data scientists, and collaborate with various teams to maximize business value and client success.

Lead analytic approaches to extract meaning from large, messy NSA/CSS datasets. Design and implement ML and statistical models, manage/curate data, translate mission needs into technical requirements, and communicate results to non-technical stakeholders.

The Sr Data Scientist, Risk will analyze fraud patterns, utilize machine learning techniques, develop models, and collaborate with teams to mitigate fraud in crypto trading.

As a Lead Data Scientist, you'll develop ML models, mentor junior scientists, and provide insights from telemetry data to support strategic decisions.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

Lead development and deployment of advanced data science models to analyze partner-specific chargeback and risk performance for PayPal World. Collaborate with stakeholders, ensure data quality, drive best practices, mentor junior data scientists, and support performance discussions and remedial actions to manage wallet risk.

Lead development and implementation of advanced data science models to manage fraud risk across payments. Collaborate with stakeholders, ensure data quality, monitor portfolio health, mentor junior scientists, and present insights to senior leaders to drive mitigation strategies and optimize fraud outcomes.

Lead the technical strategy for search and recommendation systems, develop models, and improve business outcomes through data science expertise.

Drive causal and machine learning analyses to measure product feature impacts, develop KPIs, and create visualizations while collaborating with cross-functional teams.

As a Senior Data Scientist, you will conduct statistical modeling, exploratory data analysis, and collaborate with product and engineering teams to integrate data science projects.

As a Senior Data Scientist, you will build predictive models for credit decisioning, analyze portfolio performance, and collaborate with teams to optimize loan strategies. This role focuses on driving credit quality and loss performance within the lending lifecycle.

Lead end-to-end data science projects including predictive modeling, algorithm design, and data pipelines. Build campaign-focused models (turnout, partisanship), perform exploration and visualization, translate insights into memos/presentations, collaborate with engineering to productionize models, mentor junior data scientists, and prototype emerging AI solutions for product impact.

Design, build, validate, and deploy predictive models using Python and SQL. Apply causal inference, A/B testing, matching models, and AutoML to evaluate interventions. Partner with product and engineering to deliver scalable analytics, ensure data quality and model performance, and communicate insights to stakeholders.

Senior Data Scientist designs and maintains data pipelines, analyzes large structured and unstructured datasets, builds predictive/NLP models, automates data processes, uses cloud-native ML platforms and big-data frameworks, and communicates insights to non-technical stakeholders to support SOCNORTH mission needs.

As a Senior Data Scientist, you will lead modeling initiatives, build forecasting systems, and mentor team members while collaborating with Finance, Product, and Sales teams.

The Senior Data Scientist will develop predictive models using machine learning, optimize solutions, utilize cloud resources, and analyze data to drive business strategy.

The Senior Data Scientist will develop predictive models using machine learning and statistical techniques, focusing on cost predictions from 3D data.

The Lead Data Scientist leads data science initiatives to enhance decision-making and systems development, managing complex models and enterprise operations, while building client relationships and integrating best practices.

The Senior Data Scientist will develop metrics for evaluating autonomous vehicle performance, analyze data, collaborate across teams, and communicate findings to improve safety and passenger experience.

As a Senior Data Scientist in Monetization, you'll lead data product development, conduct strategic analysis, build models, track success metrics, and mentor junior data scientists.

The role involves innovating and implementing advanced data science models, collaborating with engineering teams, and translating complex data into insights to drive business decisions.

Lead the development and improvement of data science models, provide technical mentorship, and optimize data extraction workflows for educational outcomes.

As a Lead Data Scientist, you will shape data strategy, develop predictive models, analyze healthcare datasets, and collaborate with teams to enhance MDCalc's clinical decision tools.

The Senior Data Scientist, Marketing will develop analytical models and reporting solutions to support user acquisition and marketing effectiveness, utilizing AI for improved marketing insights.

Lead causal inference initiatives to measure the impact of Lyft's new product features. Collaborate with cross-functional teams to improve product evaluation through advanced measurement techniques, and mentor junior scientists in statistical modeling and experimental design.