Top Data & Analytics Jobs

Lead the design and implementation of advanced ML-based analytics for cybersecurity operations. Oversee data pipeline development and integrate analytics into SIEM platforms while ensuring scalability, performance, and security.

Collaborate to enhance product through analytics, conduct data exploration on user behavior, and present insights to influence product decisions.

As a Data Scientist, you will analyze data, understand user metrics, shape product development, and collaborate with product and research teams.

The Data Scientist will perform research on DeFi protocols, manage client engagements, and create dashboards while analyzing complex datasets.

The Data Scientist will apply advanced statistics and machine learning to analyze data, design prediction algorithms, and collaborate with engineering for insights and improvements.

As an Associate Data Scientist, you will develop AI/ML models, perform data mining, and implement data-driven solutions while collaborating with teams.

As a Data Science Intern, you will collaborate with teams to analyze data, build models, and provide insights that guide decisions at Figma.

Looking for a Data Scientist with Python expertise and experience in data science projects. Responsibilities include working with machine learning solutions, classification problems, and NLP, with opportunities for impactful research.

As a Data Scientist, you will analyze complex datasets, build predictive models, collaborate with teams, and optimize data resources to drive insights and decisions.

Responsible for driving the technical roadmap, developing prediction models, collaborating across teams, and mentoring new talent while delivering data-driven insights.

Lead complex data science projects, mentor junior team members, and develop machine learning models for cardiac monitoring solutions.

The Senior Data Scientist will provide expertise in machine learning, oversee projects, support research, and work closely with technical teams.

Perform data analysis, build statistical models, and manage machine learning pipelines for product experiments, focusing on large datasets.

Lead analytics projects in healthcare, leveraging SQL and Python to develop impactful data-driven solutions, mentor teams, and communicate insights effectively.

As a Data Scientist, you will analyze data, conduct A/B experiments, and influence product decisions to improve financial tools. Requirements include expertise in data analysis and machine learning.

As a Data Scientist at GliaCell, you'll utilize your software development and data analysis skills to support mission-critical software and systems for U.S. Government clients, focusing on adversary defeat and large datasets.

Lead the development of machine learning models to improve mental well-being and manage healthcare costs, collaborating with teams.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

As a Data Scientist in Trading Operations, you will analyze complex datasets, develop data pipelines, and communicate insights to enhance trading strategies.

Looking for a Data Scientist with experience in ML and AI alignment research to work on client projects and alignment research.

Support a financial regulatory client by developing data pipelines and analytics solutions, performing data analysis and statistical modeling using programming languages in an AWS environment.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

As a Data Scientist at Voleon, you will analyze complex datasets, ensure data correctness, and communicate insights to executives, leveraging AI and machine learning for investment management.

The Senior Data Scientist will collaborate with engineering and product teams to define data assets, improve KPIs, and enhance analytics for AI-powered products.

Conduct research using data mining and statistical modeling to derive insights from large unstructured data sets for investment decisions.