Top Senior Level Data Science Jobs

As a Senior Product Data Scientist at Celonis, you will analyze and deliver data-informed insights to the product and engineering teams. You will build data pipelines, develop machine learning models, and create visualizations to enhance decision-making and optimize business processes by employing statistical analysis and data narratives.

The Manager of Data Science will lead a team focused on leveraging advanced analytical techniques to solve business problems related to credit risk and home loan acquisition. Responsibilities include strategic thinking, team management, performance tracking, and developing analytics frameworks to drive business insights and strategies. The role requires active participation in developing machine learning algorithms and delivering findings to various leadership levels.

As a Data Science Lead in HR Data & Analytics, you will conduct analyses of HR and business data to provide actionable insights. You'll design and implement analytical models, collaborate with users to understand requirements, develop solutions, and guide junior team members. Your role will include ensuring data quality and adhering to compliance policies.

As an AI & GenAI Data Scientist-Manager at PwC, you will lead data-driven projects, leveraging advanced analytics and AI solutions to optimize business operations. Responsibilities include managing development teams, collaborating with clients to address their business needs, and mentoring team members while upholding professional standards.

The Senior Manager of Data Science will lead a team to deliver machine learning models and data science solutions for credit underwriting and business strategies at Capital One. The role involves partnering with data scientists, software engineers, and product managers to use large volumes of data and advanced technologies to enhance customer experience and develop innovative modeling strategies.

The Senior Data Scientist will analyze complex data sets, develop data models and algorithms, create visualizations, collaborate on data-driven products, and document findings effectively. The role requires expertise in SQL and Python, along with a strong understanding of private markets and alternative investments.

As a Principal Data Scientist at Overjet, you will lead analytics initiatives, collaborate with cross-functional teams, and provide actionable insights to enterprise customers using data-driven strategies, leveraging Python, SQL, and data visualization tools.