Top Data & Analytics Jobs

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.

The Technology Partner is a leadership role focused on providing technology expertise in Data and Insights solutions, engaging with clients for transformative initiatives, creating technology solutions, overseeing engineering talent, and enhancing data management practices. The role combines strategic advisory, mentoring, and pre-sales responsibilities to drive business value through advanced analytics.

As the Senior Director, Data & Analytics, you will lead the Global Data and Analytics practice, drive strategy and growth, deliver data-driven solutions, mentor a team of professionals, manage client relationships, and improve operational efficiency.

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.

Seasoned scientist with deep understanding of GenAI, specializing in AI/ML, Computer Science, or Finance. Responsible for delivering GenAI applications, managing exploration vs exploitation tradeoff, and expertise in data-centric AI techniques. Collaborative team player with strong problem-solving skills.

As an eDiscovery Associate at Bright Labs, you'll apply expertise in forensics, predictive analytics, and machine learning to enhance case strategies and optimize litigation profiles. Key responsibilities include designing eDiscovery workflows, identifying risks, and leveraging advanced data techniques.

As a Data Science Manager II on the Growth team, you will lead a team of data scientists and marketing specialists, focusing on improving marketing strategies and operational processes. You will collaborate with cross-functional teams, manage projects, and ensure a high standard of operational excellence while mentoring team members.

The Associate in Compliance Technology Data Science at Coinbase will be responsible for producing data extracts and metrics via SQL, translating reporting requests, building compliance reports, and managing workload to deliver accurate reports and dashboards.

The Data Science Graduate role involves analyzing and validating data sets, developing models, and applying data science methodologies to derive actionable insights. The graduate will assist in the enhancement of metadata and contribute to visualizing model insights while supporting analytics solutions.

The Data Scientist will leverage data science techniques to extract insights from customer data within the Customer Data Platform. Responsibilities include developing predictive models, implementing machine learning algorithms for personalization, collaborating with marketing and sales teams, creating visualizations, and ensuring alignment of initiatives with business objectives.

The Principal Predictive Analytics Consultant leads the analytics team in designing and delivering solutions like Automated Underwriting and Risk Scoring. Responsibilities include managing complex datasets, developing predictive models, ensuring solutions meet business objectives, and presenting findings to stakeholders.