Top Data Science Jobs

As a Data Scientist II at Valo Health, you will work within a team to develop computational models and machine learning tools to enhance drug discovery processes. Responsibilities include data capture, analysis, visualization, and experimental design, along with the development of predictive models related to tissue engineering for drug candidates.

The Manager of Data Science Solutions will lead consultative engagements with potential clients, educating them on Nova Credit's products and data usage for credit risk. This role involves collaboration with sales, product, and data science teams to influence strategies and drive revenue. Travelers may need to visit various prospect sites and conferences, and flexibility in work hours is essential due to the global focus of the role.

The Data Scientist will develop algorithms and predictive models for Salesforce applications, utilize data wrangling and visualization tools, manage data as a product, and collaborate with teams to improve user experience through experimentation and strategic analysis.

The Geospatial Data Scientist will analyze complex geospatial datasets, implementing innovative strategies for data preparation in machine learning. Responsibilities include evaluating data quality, collaborating with ML Model Builders, and developing automated data integration processes while staying current on technologies in remote sensing.

As a Senior Data Scientist at Camber, you will analyze and model data to generate insights that drive business decisions in behavioral health. You will establish metrics, create dashboards for various functions, and promote a data-driven culture within the company.

As a Senior Data Scientist, you will provide technical mentorship, build models to quantify impact on the platform, develop experimentation techniques, and create features to identify customer issues. The role focuses on navigating tradeoffs to drive business value across the organization.

The Tennis Data Scientist will develop and enhance machine learning and statistical models for sports betting products. They will work through all model development phases, improve model performance, analyze results, and document their work for stakeholders. The role emphasizes collaboration with engineering and product teams to deploy new models effectively.

The Data Scientist will analyze both structured and unstructured data, evaluate models, create predictive algorithms, and translate findings into actionable insights for business improvement. This role demands a strong expertise in analytics to drive KPI enhancements and uncover new opportunities, requiring significant experience and advanced statistical knowledge.

The Staff Data Scientist will build and maintain consumer behavior models, conduct statistical analyses, validate models, and collaborate with stakeholders to solve business problems. The role includes automating analyses, supporting marketing efforts, analyzing transaction data using big data technologies, and ensuring timely project delivery.

The Data Scientist will analyze large data sets, conduct end-to-end analysis and build analysis pipelines while recommending insights to stakeholders. Collaborating with engineers and teams, the role requires presenting findings and improving user-facing products through forecasting and optimization methods.

The Data Scientist will join the Intel team, supporting the development of tools for data migration into NiFi, monitoring dataflows, identifying interruptions, and improving legacy tools. Candidates should have experience in data analysis and programming with software such as R, Python, and SAS.

The Sr. Data Scientist will develop and implement advanced machine learning and statistical algorithms for data analysis, create visualizations, guide analytic development, and oversee the integration of solutions into production. The role involves collaboration with subject matter experts and leading a team of data scientists to meet client analytics requirements and ensure performance evaluation.

As a Data Scientist at Aquabyte, you will develop and deploy algorithms for fish farms, focusing on software and machine learning model development. You'll conduct data analytics, manage databases, and build statistical models related to the health and weight of fish populations, collaborating closely with engineers.

As a Data Scientist at Spry, you will design and maintain complex data models, implement machine learning algorithms, analyze large datasets, and collaborate with teams to develop data-driven solutions. Your role will involve creating data visualizations and ensuring data quality while keeping updated with advancements in data science and AI.

The Data Scientist III will process and analyze healthcare claims data, maintain and optimize data pipelines, troubleshoot code issues, and conduct advanced statistical modeling. You will collaborate with a team to prepare insights and analytics for healthcare quality improvement and communicate findings to stakeholders.

As a Senior Data Scientist at TRM, you will enhance blockchain attribution efforts by developing solutions and collaborating with data experts. Your role includes reviewing existing attribution methods, maintaining intelligence accuracy, custom coding, and supporting client research requests.

As a Data Scientist, you will analyze complex datasets to extract actionable insights, collaborating with teams to identify trends and improve operations. Responsibilities include analyzing ServiceNow ticket data, using statistical methods and machine learning for categorization, and presenting insights through Power BI while automating reporting processes.