Top Data Science Jobs

As a Data Scientist at HUMAN, you will partner with various teams to enhance bot detection, develop statistical detection techniques, lead projects, and contribute to the Data Science culture and standards within the company.

The Senior Director of Engineering and Data Science at Fluence leads software engineering and data ops teams, focusing on developing AI-based solutions and aligning initiatives with business goals. The role involves shaping architectural decisions, optimizing performance, and fostering a culture of innovation. Collaboration with executives and mentoring team members are also key responsibilities.

Lead a team of data scientists in delivering advanced statistical techniques and machine learning solutions for underwriting and operations. Collaborate with partners to drive analytics into products, enhancing decision-making and improving business outcomes. Present insights to executives and influence strategic decisions, while also guiding team development and recruitment efforts.

As a member of the Data Science Center of Excellence, the manager will develop statistical modeling techniques, enhance data science capabilities, guide vendors, collaborate with stakeholders, and communicate insights to ensure robust modeling outputs and informed decision-making across the business.

As a Data Science Consultant, you will support business operations through data analysis and presentations. You'll manipulate datasets to drive analytics and collaborate with stakeholders to provide data-driven recommendations and solutions. Strong communication and collaboration skills are essential to succeed in this role.

The Senior Software Engineer will lead or collaborate on the design, development, and deployment of software features, ensuring clean, reusable coding standards and effective problem-solving with clients. This role involves improving code architecture and maintaining high-quality documentation.

As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.

As a Data Scientist at Adobe, you will prioritize and lead analytics initiatives, develop machine learning strategies, collaborate with product and marketing teams, conduct A/B experiments, and foster a data-driven culture to inform product roadmaps and business strategies.

The Data Science Manager will leverage advanced analytics to uncover trends in music consumption, create analytical tools and models, and communicate insights to marketing and commercial teams. Responsibilities include data extraction and analysis using various methods, solving business questions, and collaborating with cross-functional teams.

As a Data Scientist/Senior Data Scientist at Wisetack, you will drive data-driven decision-making in areas such as credit risk and fraud. Responsibilities include designing and deploying predictive models, conducting analyses, and collaborating with teams to integrate solutions into products, ultimately aiming to enhance consumer lending products.

Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.

As a Senior Data Scientist at Instacart, you'll own analytical frameworks to guide product development, design experiments, build statistical models, and create simulations for product interventions. You'll be a strategic partner in driving data-driven decision-making and influencing product usability improvements.

As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.

The Staff Data Scientist will collect, analyze, and optimize big data while contributing to the organization's Big Data Strategy. Responsibilities include building predictive models, creating visualization dashboards, and collaborating with cross-functional teams to drive data-driven solutions. The role emphasizes continuous learning and innovation in data science methodologies.

The Data Science Manager will lead and mentor a team of data scientists, develop and implement data science strategies, manage day-to-day operations, and ensure project delivery. They will conduct data analysis and modeling, communicate insights, and collaborate with various departments to drive business growth through data science initiatives.

As a Sr. Manager of Data Science in Marketing, you will develop strategies for integrating data science into marketing, optimize budget allocations through media mix modeling, and enhance targeting strategies using advanced analytics. You will lead a team, drive innovation, and collaboratively improve business outcomes through data-driven insights.

The Manager of Marketing Data Science will spearhead initiatives in data utilization, predictive modeling, and machine learning to enhance marketing strategies and optimize performance for Dow Jones' Enterprise clients. This role involves collaborating with technology and marketing teams to establish robust data infrastructures and ensure data governance, ultimately driving actionable insights and improving customer retention.