Top Data & Analytics Jobs

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

The Senior AI/ML Engineer designs and implements AI/ML solutions to enhance profitability, while collaborating across teams and communicating insights to business leaders.

Design, build, and maintain ELT pipelines and analytics-ready data models to support reporting, KPIs, and downstream ML use cases; implement data quality, optimize pipeline performance, document lineage, and ensure governance and privacy.

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.

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 Executive Director will oversee data science and data management strategies, leading capabilities across commercial insights and analytics while collaborating across multiple organizational functions.

Perform model audits and quantitative analyses, evaluate risk and effectiveness of models, and communicate findings to stakeholders.

This role focuses on sourcing, due diligence, and portfolio support in the AI investment ecosystem. It requires strong networking and analytical skills, combined with a proactive entrepreneurial spirit.

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

Design and develop innovative deep learning methods for biomolecular design, collaborating with biology teams, prototyping new algorithms, and presenting results.

Design, build, and deploy end-to-end data science solutions for pricing, underwriting, claims, and operations. Perform analyses on structured and unstructured data, develop and monitor ML models, create dashboards and visualizations, implement data pipelines, and collaborate cross-functionally to prioritize analytics initiatives and communicate results to technical and non-technical stakeholders.

Develop sophisticated trading models using machine learning and data analysis. Manage the research process from data ingestion to model evaluation. Collaborate and contribute to all stages of financial model development leveraging deep learning.

Lead the design and operation of Twilio's ML and data platform, architecting cloud-native pipelines and implementing MLOps best practices while mentoring engineers and collaborating across teams.

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 a team in delivering data-driven insights for underwriting and risk selection, managing projects and fostering relationships across business units.

TigerGraph seeks individuals to promote their scalable graph database technology used for analytics and machine learning across various industries.

Manage and mentor a team of data scientists and engineers, guide development and delivery of ML/AI solutions, ensure best practices, collaborate with stakeholders, and align data science work with business objectives.

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.

Design and implement credit strategies using data, machine learning, A/B testing and advanced analytics to optimize underwriting, pricing, and credit line decisions. Lead end-to-end analytics for credit card products, monitor portfolio performance, conduct root-cause analysis, partner cross-functionally, and communicate findings to stakeholders.

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

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

Conduct research and development to enhance NLP models aimed at improving market research methodologies using AI and Crowd Intelligence.

Lead and mentor the Generative AI team, developing and optimizing machine learning models and solutions for multimodal data processing and document understanding.

Manage and mentor a team of machine learning engineers, oversee ML project development, collaborate with product management, and drive product milestones.