Develop and implement statistical forecasting models, utilize regression analysis, collect and transform large datasets, engineer features, develop ETL pipelines, and deploy machine learning models including deep learning techniques.
Responsibilities
Develop and implement statistical forecasting models to predict future market demand, sales trends, and customer behavior
Utilize regression analysis techniques to understand the relationships between various factors and business outcomes
Collect, clean, and transform large datasets from various sources, including internal databases, external APIs, and public data repositories
Engineer relevant features from raw data to improve model performance and extract meaningful insights
Develop and implement data pipelines for efficient data extraction, transformation, and loading (ETL)
Quantitative researcher for Cubist Machine Learning Research group
Responsibilities
Develop sophisticated trading models using machine learning
Manage all aspects of the research process including data ingestion, analysis, methodology selection, implementation, testing, prototyping, and performance evaluation
Requirements
PhD or PhD candidate in machine learning, computer science, statistics, or a related field
As a Data Scientist III, you will be a strong individual contributor embedded in the Clinical Development analytics function. You will design and build sophisticated ML and AI solutions, conduct rigorous statistical analyses on clinical datasets, and collaborate closely with clinical, medical, and operational stakeholders to translate complex data into actionable insights.
Responsibilities
Design, develop, and deploy predictive modeling and data science solutions — including regression, clustering, survival analysis, time series forecasting, and Monte Carlo simulation — to address clinical development challenges.
Conduct rigorous statistical investigations and exploratory data analysis across clinical datasets including trial data, EHR/EMR, and real-world evidence (RWE).
Translate moderately ambiguous scientific or operational problems into structured, hypothesis-driven analytical frameworks spanning study feasibility, trial execution, and patient analytics.
Build and maintain data and analytics pipelines — contributing to pipeline design decisions and ensuring computational efficiency within established architectural patterns.
Partner with senior data scientists and engineering teams on data quality, pipeline reliability, and scalability improvements.
Requirements
Bachelor's, Master's, or Ph.D. in Data Science, Statistics, Biostatistics, Computer Science, or a related discipline
Lead the development, implementation and operation of analytics to monitor generation performance and support asset reliability and maintenance planning.
Compensation
Competitive Salary *401k Savings plan w/ company matching * Pension plan * Paid time off* Paid Holiday time * Medical, Prescription Drug, & Dental Coverage *Tuition Assistance Program * Employee Assistance Program * Wellness Programs * On-site Fitness Centers * Bonus Plan and more!
Responsibilities
Lead the development, implementation and operation of Analytics to monitor generation performance
Lead the development of analytics using Asset Management and formal reliability engineering
Lead the vision for analytics at the generating fleet level
Lead development of fleet level analytics centrally located on Power BI
Lead development of analytics for the support of performance reporting
Requirements
Bachelor’s degree in Engineering, Data Science, Applied Mathematics or Statistics
Lead design and operation of production systems for real‑time forecasting and optimization in Lyft’s marketplace.
Compensation
The expected base pay range for this position in the Seattle area is $136,160 - $170,200, not inclusive of potential equity offering, bonus or benefits.
Responsibilities
Lead projects end to end
Architect ML systems
Partner with science to ship
Own signal contracts
Operate what you build
Requirements
BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
Lead the design and deployment of complex data solutions tailored to meet business objectives within Children’s National Hospital’s Information Technology team.
Compensation
$110,052.80 - $183,414.40
Responsibilities
Design and deploy complex data solutions
Select and implement technology stack
Optimize relational databases
Develop lakehouse strategies
Construct and refine sophisticated data models
Requirements
Bachelor's Degree in a quantitative/statistical or business field (e.g., Statistics, Mathematics, Engineering, Computer Science)
Senior Data Scientist who designs, develops, and implements machine learning models, AI systems, and statistical modeling to generate actionable insights for business problems and product development.
Compensation
Pay Range: $108,960.00 - $163,440.00 Annual
Responsibilities
Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models).
Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques.
Develops and applies novel models on customer data to identify areas to increase profits and reduce losses.
Partners with experimentalists to translate models into testable hypotheses.
As a Manager Data Science, you will spearhead the development and execution of advanced analytical strategies that drive business insights and operational excellence across multiple domains, leading a cross-functional team of data scientists, analysts, and engineers.
Compensation
Rs 2000000 - Rs 4200000 (i.e. INR 20-42 LPA)
Responsibilities
Lead the design, development, and deployment of predictive models using machine learning and statistical techniques.
Oversee end-to-end data science projects, from hypothesis generation to production-grade solution delivery.
Drive the adoption of Bayesian methods to enhance probabilistic inference and decision-support systems.
Mentor and coach a team of data scientists, fostering a culture of continuous learning and innovation.
Collaborate with product, engineering, and business leaders to translate data insights into actionable strategies.
Quantitative Researcher - Machine LearningNewPoint72 · New York, US
Senior Data ScientistBristol Myers Squibb · Hyderabad, India
Sr Data Scientist - Energy SupplyTampa Electric Company · Tampa, US
Senior Software Engineer, Forecasting & Real-Time OptimizationLyft · Seattle, US
Senior Solution ArchitectChildren's National Hospital (Children's National Medical Center) · Silver Spring, US