Top Data Science Jobs

As a Senior Data Scientist, you will lead the development of machine learning models to understand user engagement at Twitch, utilizing software engineering skills for model training, testing, deployment, and monitoring while providing insights on viewer behavior.

As the Advisor of Data Science and Advanced Analytics at Ciena, you will enhance the company's analytics capabilities by transitioning from descriptive analytics to predictive and prescriptive analytics. Responsibilities include collaborating with business teams to identify data-driven solutions, preparing data for analysis, developing statistical and machine learning models, deploying data models into production, and ensuring data quality and security.

AI Engineer & Researcher focused on building data processing systems, managing cloud compute clusters, and pre-processing datasets for AI training. Strong communication skills and passion for improving data and models required.

The Principal Data Scientist will lead data science projects by engineering data models, developing predictive and recommendation models, and collaborating with stakeholders to translate qualitative data into actionable insights. The role involves continuous model assessment, visualization using PowerBI, and mentoring team members while applying advanced statistical methods to large data sets.

As a Senior Applied Data Scientist, you will build predictive models and analytical solutions for healthcare decision-makers. Your role involves collaborating with development teams, creating visuals to translate complex data, and utilizing advanced machine learning techniques to solve business problems. You will also mentor junior staff and lead data science projects.

The Revenue Operations Analyst will manage and optimize the Marketing Ops, Sales Ops, and Customer Success Ops at Wonderlic. Responsibilities include overseeing the RevOps tech stack, ensuring compliance with processes, onboarding team members, streamlining operations, and setting up insightful dashboards.

Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.