Top Data Science Jobs

Seeking a QlikView/Java expert with over 10 years of experience in data visualization and model development using QlikView. Responsibilities include dashboard creation, data integration, and administration of QlikView tools.

The Senior Data Scientist designs and implements systems for manufacturing analytics, develops optimization models in Python, builds data pipelines, and collaborates with stakeholders to enhance decision-making frameworks.

The Staff Data Scientist will lead advanced analytics and machine learning initiatives, collaborate with Product Management teams, and generate actionable insights on customer behavior to inform product strategies.

The Data Scientist will develop innovative classification algorithms for EEG neurodiagnostics, analyze data trends, collaborate with stakeholders, and mentor junior team members.

Lead data science projects focused on fraud detection, optimize models, analyze datasets for trends, and mentor junior scientists.

As a Data Scientist II, you'll design and implement analytical systems using data mining, generative AI, and ML techniques while collaborating with internal and external teams to enhance product capabilities.

The Advanced Data Scientist will design, develop, and implement AI/ML solutions, collaborate with teams to integrate analytics into operational platforms, and govern analytics strategy for Honeywell Forge.

The Advanced Data Scientist will design, develop, and implement data-driven AI/ML solutions across Honeywell's business, collaborating with data scientists and engineers.

The Data Scientist II will design and build analytics solutions, integrate third-party components, and deploy AI and ML models for enhanced security insights.

The Data Scientist will develop advanced analytics solutions, focusing on machine learning and computer vision, lead technical initiatives, and collaborate with teams to integrate software solutions across various business divisions.

The Senior Data Scientist will develop analytic solutions for fraud prevention, lead analytic client engagements, and communicate strategies across various industries, predominantly in financial services.

As a Senior Data Scientist, you will embed machine learning in operations, guide modeling, collaborate with engineering teams, and mentor talent to enhance data science capabilities.

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

The Senior Data Scientist will optimize HVACR system performance using machine learning, develop data solutions, and work collaboratively across teams to enhance technical applications.

The Data Scientist collaborates with stakeholders to develop machine learning applications, analyze data, and enhance team operations, improving processes with data-driven insights.

The Data Scientist will analyze business data, build reports, and visualizations, mentor analysts, and collaborate with stakeholders to drive data-driven decision-making.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Data Scientist will analyze workforce data to support job reclassification, utilizing advanced analytics, NLP, and machine learning techniques.

As a Data Scientist, you will analyze complex data sets, build machine learning models, and work in a team to provide solutions, ensuring data security and optimization.

The Data Scientist will analyze complex data, build predictive models, and collaborate with teams to innovate technical solutions and optimize processes.

As a Data Scientist, you will identify opportunities using data to shape product decisions, develop metrics, and influence strategic partnerships across teams.

The Senior Data Scientist will develop metrics for system availability and reliability, analyze performance, and collaborate across teams to enhance Netflix's infrastructure.

The Data Scientist II will develop statistical models and algorithms for insurance interventions, improving customer lifetime value and enhancing conversion/retention using machine learning techniques.

Lead data science strategy for Accounting, Finance, and Payments. Build ML/AI systems (including LLM workflows) for forecasting, fraud detection, anomaly monitoring, and financial automation. Architect data pipelines, models, and dashboards while advising finance leadership and scaling analytics capabilities.

The Data Scientist will analyze financial datasets, develop predictive models, and collaborate with stakeholders to enhance data-driven decision-making in wealth management.