Top Data & Analytics Jobs

The Director of Statistics leads statistical initiatives in phase 3b/4 and RWE studies, provides expertise in HTA and regulatory compliance, and collaborates with cross-functional teams. Responsibilities include statistical analysis plans, Bayesian methodologies, and mentoring junior staff.

Develop and maintain analytics models, dashboards, and reports using SQL and statistical languages. Apply forecasting, predictive modeling, clustering, and ML to analyze marketing, customer, and sales data. Create visualizations, perform data extraction/cleansing, conduct ad hoc analyses, segment customers, evaluate campaign performance, and communicate actionable recommendations to cross-functional teams. Manage multiple projects and standardize reporting practices.

The Director, Portfolio Insights leads strategic projects, analyzes R&D portfolio valuational metrics, and advocates for a data-driven decision-making culture across therapeutic areas.

The Senior Actuarial Predictive Modeler develops predictive models for pricing and lifetime value, collaborates with teams, ensures compliance, and leads projects.

The Data Scientist will analyze, design, test, and implement applications for product improvement, utilizing advanced data analytics and machine learning techniques, while supporting plant projects and mentoring team members.

As the first Data Scientist at Hang, you will analyze data to drive insights, develop predictive models, collaborate with teams, visualize data, and contribute to data strategies.

Lead marketing data and AI strategy: architect the single source of truth, design scalable data models, create measurement and attribution frameworks, prioritize and productionize predictive AI use cases, and embed responsible AI governance across marketing.

Lead Data & Analytics Product Development, focusing on identifying, developing and monetizing data products, while overseeing a team and shaping AI strategies.

Quantitative Researchers analyze diverse data sets to uncover market patterns and develop forecasts for equity markets within a collaborative trading environment.

Perform data acquisition, cleaning, integration, modeling and visualization to support ITSM and enterprise operations. Build and maintain Tableau dashboards, apply machine learning and predictive models, and present insights to stakeholders while collaborating across cybersecurity, compliance, operations, and engineering teams.

As a Senior Data Scientist, you will apply machine learning and AI algorithms, conduct feature engineering, and collaborate with teams to optimize models and provide data insights.

As a Data Scientist, you'll leverage machine learning and AI to analyze data, build models, and develop intelligent services, collaborating with various stakeholders.

The Data Scientist/Sustainment Engineer will analyze data, build machine learning models, support operational tasks, and manage data visualization while collaborating with cross-functional teams.

Drive pricing strategy by analyzing market and internal data to maximize revenue and profit. Build and run statistical and pricing models, extract and preprocess data from multiple sources, synthesize findings, and present recommendations to stakeholders. Work cross-functionally with Sales, Finance, Product, and project managers to implement pricing opportunities and improvements.

As a Performance Engineer, you'll optimize distributed systems for machine learning, solve systems problems, and contribute to high-performance ML projects.

As a Quantitative Research Analyst, you will develop models, conduct complex data analysis, and work with stakeholders to optimize investment strategies.

Lead the optimization of CRM data management, leveraging AI and analytics to enhance data integrity, automate workflows, and derive actionable insights.

As a Senior Statistical Methodology Data Scientist, you will lead innovative statistical approaches, provide guidance on study design, and support evidence-based decision-making in clinical development.

Lead supply chain analytics by building Power BI dashboards, analyzing large datasets to identify trends and improve forecasting and operations. Partner with stakeholders to enable AI, automation, and predictive analytics, mentor analysts, promote best practices, and drive continuous improvement across planning, manufacturing, logistics, and inventory functions.

As an Analytic Methodologist, you will lead analytics projects, develop and evaluate methodologies, and support the Department of Defense with your expertise in data science, knowledge graphs, and ontologies.

Lead enterprise data architecture and modeling efforts, guide data federation and authoritative sources, collaborate with analytics and implementation teams, and design and implement scalable data solutions while ensuring best practices and stakeholder communication.

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

Lead a team of data scientists to optimize Databricks infrastructure using data science for capacity planning, reliability, and performance improvements.

Serve as liaison between business stakeholders and IT to analyze needs, document requirements, recommend system improvements, support design/testing/implementation, train end users, and use analytics and AI-driven insights to improve processes and decision-making.

Design, build, and maintain secure, scalable data pipelines and platforms (including Palantir Foundry/Gotham) for mission-driven clients in classified or restricted environments. Guide cross-functional teams, communicate architecture decisions, implement secure analytics ecosystems, and support AI/ML integration and DevSecOps practices under constrained mission conditions.