Top Lead Data Scientist Jobs

The role involves engineering consumer-level attributes, applying statistical techniques, building dashboards, and collaborating with various teams to enhance credit-related decisions based on data insights.

Collaborate to enhance product through analytics, conduct data exploration on user behavior, and present insights to influence product decisions.

As a Data Scientist, you will analyze complex datasets, build predictive models, collaborate with teams, and optimize data resources to drive insights and decisions.

The Data Scientist will design and implement machine learning algorithms, analyze datasets, communicate findings, and meet mission requirements using technical expertise.

Lead Customer Success Data Scientist responsible for driving adoption, retention, and satisfaction for industry clients. Translate business needs into analytics strategies, build prototypes and ML/AI solutions, deliver technical guidance, collaborate cross-functionally, represent Spotfire externally, and coach teammates to improve customer outcomes and product value.

The Data Scientist will apply advanced statistics and machine learning to analyze data, design prediction algorithms, and collaborate with engineering for insights and improvements.

Responsible for driving the technical roadmap, developing prediction models, collaborating across teams, and mentoring new talent while delivering data-driven insights.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

Analyze and interpret complex data sets, develop predictive models, collaborate with teams, create visualizations, and communicate insights.

As a Data Scientist at Voleon, you will analyze complex datasets, ensure data correctness, and communicate insights to executives, leveraging AI and machine learning for investment management.

The Data Scientist will identify new datasets, build tools for data ingestion and cleaning, analyze data, and support trading operations.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

Conduct research using data mining and statistical modeling to derive insights from large unstructured data sets for investment decisions.

The Data Scientist will support data acquisition, develop algorithms, conduct analyses, create visualizations, and interpret data for actionable insights.

Perform data analysis, build statistical models, and manage machine learning pipelines for product experiments, focusing on large datasets.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Data Scientist will design experiments, monitor metrics, build dashboards, evaluate data sets, and perform data analysis to inform operational decisions.

Analyze large data sets, build predictive models, automate data collection, and collaborate with teams to enhance decision-making and performance.

Build and train AI platforms as part of the ML/Data Science team, collaborating with a diverse group to develop machine learning applications.

As the first Data Scientist at Hang, you will analyze data to drive insights, develop predictive models, collaborate with teams, visualize data, and contribute to data strategies.

Looking for a Data Scientist with experience in ML and AI alignment research to work on client projects and alignment research.

Lead a team of data scientists to enhance patient experiences through data insights, predictive modeling, and analytics for healthcare solutions.

As a Data Scientist, you will define metrics, design A/B tests, and create dashboards to improve data-driven product development at OpenAI.

The Data Scientist will support the US Sales Operations team by providing analytical insights, developing predictive models, and creating visualizations to optimize sales performance and drive business strategies using advanced analytical techniques.

Provide advanced analytical support by interpreting data, programming for data cleaning, leading data experiments, and collaborating with analysis teams for intelligence products.