Top Data & Analytics Jobs

The Data Scientist will analyze large datasets, develop predictive models, and provide insights to drive business decisions. Responsibilities include trend analysis, model development, and collaboration with product and engineering teams to enhance platform accuracy.

The Senior Data Scientist will build scalable machine learning pipelines, conduct statistical analysis, validate models, and utilize various programming languages to develop solutions. They will work closely with business stakeholders to identify needs and implement improvements while researching industry trends and analyzing data for insights.

The Data Scientist will develop data products, maintain existing ones, and support data pipelines while utilizing machine learning techniques and advanced Python. Responsibilities include data preprocessing, delivering actionable insights to leadership, and collaborating with various functions to improve operations within Wellstar's healthcare setting.

As a Senior Data Scientist, you will execute analytical projects, optimizing supply chain models, and enhancing processes through statistical analysis and modeling. You will present findings to executives and collaborate cross-functionally to drive solutions. Your role includes managing multiple projects independently and enabling data-driven transformations.

The Principal Data Scientist will drive the development and deployment of marketing measurement strategies, utilizing advanced data science techniques to optimize marketing investments and assess business outcomes. Responsibilities include collaborating with various teams, providing insights into marketing performance, and developing tools to enhance analytical capabilities across the organization.

As a Data Scientist at LeaseLock, you'll develop machine learning models to predict property risk, deliver data-driven strategies, and ensure data consistency for enhanced analytics. You will work independently on impactful projects that align with business needs.

The Senior Applied Data Scientist will perform deep data analysis on false positives and negatives, provide insights for improving detection efficacy, train models for specialized attacks, recommend new feature groups, and collaborate on productionizing detection signals. The role involves monitoring and enhancing the performance of a message detection system.

As a Senior Data Scientist at Angi, you will lead the development and deployment of predictive models to enhance user engagement and retention. Your role involves collaboration with cross-functional teams to build data-driven solutions, conduct model evaluations, and mentor junior members. You will innovate and drive the application of advanced data science techniques.

The Senior Data Scientist will develop and deploy machine learning models, optimize workflows for automation, collaborate with cross-functional teams to enhance reporting solutions, and ensure data integrity in AI/automation projects. The role focuses on generating predictive analytics and staying updated with AI/ML advancements.

The Data Scientist Senior is responsible for developing methods and systems to analyze complex data sources for business insights. Duties include leading data automation projects, building statistical and machine-learning models, and refining them based on performance metrics. The role involves collaboration with stakeholders, mentoring less experienced staff, and ensuring compliance with risk management standards.

As a Staff Data Scientist at SentiLink, you will be responsible for building fraud detection models, researching new fraud types, and developing products for financial risk. This role requires strong technical abilities, model development skills, and the ability to work across teams to inform sales and marketing initiatives.

The Data Scientist will support data science needs by performing data mining, statistical analysis, and building predictive models for the Cybercrime and Analytics Group. Responsibilities include optimizing classifiers, data processing, anomaly detection, and assisting with IT support as needed.

Hiring Basketball Data Scientists to develop machine learning and statistical models for sports betting products. Responsibilities include model development, feature set creation, model performance improvement, and collaboration with teams. Requires a Master's degree, expertise in Probability Theory and Machine Learning, and experience in SQL, Python, and AWS.

As a Senior Data Scientist, you will develop fraud detection models, research new fraud types, maintain data quality, and write production code while collaborating across teams. This role requires deep domain expertise and the ability to drive product development and provide analytical insights to enhance sales and marketing efforts.

The Data Scientist will collect data, apply analytical and statistical methods to extract insights, and create visualizations for stakeholders. The role requires working with various data tools and managing data warehouses to ensure effective data integration and analysis.

The Senior/Lead Data Scientist will develop and maintain predictive models, analyze data patterns, and automate analytic procedures. Responsibilities include enhancing decision-making insights for clients, conducting complex analyses, and coordinating across teams for successful project execution.

As a Data Scientist II, you will analyze large healthcare datasets, build and optimize machine learning models, and develop algorithms for workflow optimization. You'll collaborate with engineers and product managers, communicate insights through visualizations, and contribute to innovative solutions that enhance operational intelligence in healthcare revenue cycle management.