Get the job you really want.
Top Data & Analytics Jobs
The Director, Social Media Data Science and Insights will lead the analysis of social media data, develop innovative strategies, and drive data-informed decisions in marketing and product development. Responsibilities include building executive reports, using advanced analytics techniques, and overseeing global social media reporting.
The Data Science Manager will lead the development of innovative ML-based enterprise products, manage teams of scientists and engineers, and engage with clients to implement AI solutions to complex business problems. Responsibilities include research of AI algorithms, architecting data products, and contributing to company strategy in AI.
As a Data Science Manager, you will lead the development of ML-based products, architect AI data solutions, collaborate with teams to deliver transformative client solutions, and publish thought leadership pieces. Your role includes solving complex business problems and fostering talent within the organization.
Manage and lead data science initiatives in supply chain optimization, develop and implement advanced models using machine learning and operations research, analyze large datasets to derive insights and propose actionable recommendations, and partner with various supply chain functions.
The Associate Director, Data Science at Chewy will lead the Supply Chain Replenishment Science team in developing models and algorithms for supply chain optimization. Responsibilities include analyzing large datasets, collaborating across functions to enhance supply chain processes, and implementing effective data-driven solutions.
The Director of Data Science - Model Risk will lead a cross-functional team to deliver data-driven insights and machine learning models while ensuring model risk management. Responsibilities include partnering with data scientists, software engineers, and product managers, leveraging technologies to analyze large datasets, and translating complex data work into business decisions.
As a Data Science Manager in the Focused Analytics Solutions Team, you will lead teams of data scientists to develop end-to-end analytical solutions. Responsibilities include guiding project teams, coaching early career talent, and maintaining high standards of excellence. You will also act as a trusted advisor, manage client relationships, and uphold quality control standards.
As a Senior Data Scientist at Atlassian, you will collaborate with various cross-functional teams to apply quantitative analysis and develop strategies that influence product and business decisions. You will leverage data to identify opportunities, measure product success, and communicate insights effectively.
Featured Jobs
As the Director of Data Quality, you will lead and mentor the QA team, implement and optimize QA policies, drive process improvements, and align QA objectives with business strategies to ensure the highest quality training data for generative AI applications.
The Director of Data Quality at Labelbox will lead and mentor the QA team, design and optimize QA policies, implement advanced QC methods, drive process improvements, analyze quality metrics, and ensure compliance with industry standards, all while aligning QA objectives with business strategy.
The Senior Data Science Analyst works closely with management on analytical initiatives, leveraging advanced analytics and machine learning to solve business problems. Responsibilities include developing reports and dashboards, managing multiple priorities, and presenting findings. The role demands collaboration with cross-functional teams to provide insights and improve business performance.
As a Director of Data Science, you will lead a team to leverage data for actionable insights, mentor upcoming data scientists, oversee analytics projects, and engage in business development to identify and secure client opportunities.
The Director of Data Science will lead the analytics vision at West Monroe, collaborating with leadership to develop data-driven offerings, manage multi-disciplinary teams, mentor consultants, and enhance relationships with clients and vendors. Responsibilities include practice development, client delivery, and business development to ensure impactful analytical solutions are provided.
The Head of AI at Drips will lead and innovate AI and ML initiatives focusing on NLP and dialog management. Responsibilities include overseeing the AI technology lifecycle, advocating for the Drips Platform, driving effective team development, and fostering continuous improvement in AI techniques and applications.
The AI Strategist will partner with sales and delivery teams to identify business value from generative AI initiatives, lead discussions with potential clients, assess AI project viability, and ensure alignment with strategic outcomes. The role requires strong business acumen, effective communication, and collaboration skills to facilitate successful AI solutions tailored to client needs.
The Data Science Manager will lead a team to enhance patient navigation and healthcare outcomes through data-driven insights. Responsibilities include developing predictive models, collaborating with product teams, and guiding strategic data initiatives within the healthcare technology space.
As a Manager in the Data Science team at Atlassian, you will leverage data to drive insights about products and customers. Your duties include collaborating on product and business problems, applying quantitative analysis, defining opportunities for product improvements, and managing a team of Data Scientists. You will influence strategy through data-driven insights and help structure your team's growth.
The Practice Manager leads a team in Data Science, AI, and ML, overseeing customer projects, driving successful outcomes, and mentoring team members. Responsibilities include technical leadership, project management, operational support, and fostering team culture while ensuring the overall success of the practice.
The Data Scientist will work with PID controllers and Nielsen TV data to develop models focused on improving campaign performance. Key tasks include building forecasting models, analyzing campaign planning workflows, and applying optimization frameworks in both Linear TV and digital advertising contexts.
The Data Science Product Portfolio Manager is responsible for managing data science product delivery, translating business goals into solutions, managing client expectations, providing executive briefs, and ensuring quality in deliverables. The role involves collaboration with technical and business development teams to deliver AI and ML analytics products, while also maintaining effective communication with clients and stakeholders.
As an Associate Data Scientist, you will develop AI solutions using advanced machine learning techniques, support process improvement, assist in statistical model development, and translate technical findings into actionable insights for clients.
The Manager in Marketing Analytics & Data Science will lead analytics projects, manage client relationships at an executive level, and guide a team of data scientists. Responsibilities include strategic consulting for clients, team development, and contributing to the company's growth initiatives through leadership and project management.
As a Credit Data Scientist, you will lead the development of credit models, collaborate with product managers and engineers, design experiments to validate business hypotheses, and mentor your team. The role involves building innovative products in credit for Southeast Asia's unique market demands.
As a Data Scientist at Cardinal Health's AI CoE, you will lead the development of AI solutions, design advanced machine learning models, guide a team of data scientists, and influence AI strategy in healthcare. Your role will involve leveraging cutting-edge AI technologies to improve patient outcomes and operational efficiency.
The Facilitator for the Data Science program will mentor a small group of up to 5 learners online, facilitating discussions twice a week and providing feedback on their projects. They will apply real-world concepts to the curriculum and foster a collaborative learning environment. This role requires strong leadership skills and a commitment to empowering students.
Top Companies Hiring Data + Analytics Roles
See AllTop Companies Hiring Data + Analytics Roles
See AllAll Filters
No Results
No Results
No Results