Top Data & Analytics Jobs

As a Data Engineer, you will build and operationalize complex data solutions, analyze data sources, design data solutions, and collaborate with teams to enhance data products. You'll leverage your analytical skills to modernize data practices and ensure data quality.

As a Finance Data Scientist at Genesys, you will utilize advanced machine learning and statistical techniques to drive data-driven decisions, optimize revenue streams, and improve operational efficiency. Your role includes developing and deploying models, collaborating with cross-functional teams, and ensuring model interpretation and performance evaluation to inform business strategy.

The Staff Data Scientist on the Anti-Cheat team will develop models and maintain automated systems to detect and mitigate cheating in games. Responsibilities include analyzing challenges, designing feature sets, mentoring junior staff, optimizing ETL pipelines, and collaborating with stakeholders and data engineers.

The Machine Learning Engineer will collaborate with research scientists and partner laboratories to develop and improve end-to-end ML pipelines for multimodal models. The role involves training and serving robot foundation models while enhancing data infrastructure and contributing to significant publications.

The AI Senior Data Scientist will develop and deliver Generative AI solutions, collaborating with cross-functional teams. Key responsibilities include applying advanced AI techniques, ensuring high-quality data integrity, coaching junior members, and designing innovative solutions to complex business problems.

As a Senior Data Scientist on the Community Discovery Machine Learning team at Twitch, you will drive improvements to machine learning systems and analytics. Your responsibilities include defining core metrics, conducting A/B experiments, and collaborating across teams to influence product strategies. You will also work on understanding viewer behavior and improving recommendation algorithms.

As a Senior Data Scientist on the CDML team at Twitch, you'll enhance machine learning systems, drive decision-making analytics, and develop new signals for algorithms. Key responsibilities include defining core metrics, estimating feature opportunities, conducting A/B experiments, and collaborating with cross-functional teams. You'll tackle unresolved analytics questions and help shape product strategies.

As an Atmospheric Data Scientist, you will use machine learning to enhance weather prediction capabilities by working on existing product pipelines and bringing new projects to operational deployment, while conducting research at the intersection of satellite meteorology and deep learning.

The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.

As a Senior Machine Learning & Computer Vision Engineer at Dandy, you will build advanced models for 3D scans, research state-of-the-art methods for generative deep learning, and collaborate with cross-functional teams to enhance product offerings. Your role involves working with large datasets, implementing MLOps best practices, and innovating new solutions in a growing team environment.

The Lead Data Scientist will apply expertise in AI to design and build advanced analytics engines, solve business problems using data science methods, and collaborate with a team of data scientists and engineers. They will communicate solutions to business partners and ensure models are scalable and interpretable.

As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.

The Analytics Supervisor will lead a team, drive data analysis projects using statistical and machine learning techniques, collaborate with clients to deliver impactful data solutions, and oversee data quality and integrity.

The Manager, Data Scientist will lead analytics projects, develop machine learning models, and collaborate across departments to drive insights and recommendations. Key responsibilities include formulating data science problems, statistical modeling, and ensuring data quality and governance. This role aims to establish a robust data science foundation within the organization.

The Research Scientist will investigate fundamental questions of intelligence and knowledge to develop software with human-level intelligence. Responsibilities include creating research questions, coordinating experiments, and mentoring research engineers, while collaborating with internal and external teams.

The Principal Data Scientist will work with various data sources to build predictive models that enhance revenue expansion and reduce churn for enterprise software companies. They will collaborate with stakeholders to improve model accuracy, innovate on data science opportunities, and partner with engineering to ensure scalable data science infrastructures.

The Staff Data Scientist will research and implement advanced data models and algorithms using both structured and unstructured data. Responsibilities include processing large datasets, optimizing advertising product performance through machine learning models, running A/B tests, and creating data visualizations to share insights.