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Senior Data Scientist
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-02-14
Listing for:
Lawrence Harvey
Full Time
position Listed on 2026-02-14
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
Job Description & How to Apply Below
Responsibilities
- Design, enhance, and maintain advanced optimization and forecasting models supporting a large-scale, mission-critical platform.
- Enable new use cases, constraints, and programs within a production-grade optimization engine.
- Monitor, analyse, and improve model accuracy through detailed KPI and performance reporting.
- Identify root causes of optimisation inaccuracies and propose, test, and implement data-driven improvements.
- Partner closely with Product, Engineering, and Technical Product teams to translate business requirements into robust analytical solutions.
- Benchmark model performance across varying scenarios, datasets, and operational conditions.
- Develop and integrate testing frameworks to ensure reliability and scalability of optimisation logic.
- Identify anomalies proactively before they impact end users.
- Support business cases for technical prioritisation by quantifying the incremental value of model and code changes.
- Contribute to the long-term evolution of a data science capability, with scope to help shape and grow the practice over time.
- Bachelor’s or Master’s degree in Computer Science, Operations Research, Mathematics, Statistics, Engineering, or a related field.
- 7+ years of experience in data science, applied mathematics, or optimization-focused roles.
- Hands-on experience with mixed-integer linear or non-linear optimization (industry or advanced academic).
- Strong Python experience, including optimization and modelling frameworks.
- Solid understanding of time-series analysis and forecasting techniques.
- Experience working closely with software engineers in production environments.
- Strong analytical mindset with the ability to communicate complex concepts clearly to technical and non-technical stakeholders.
- Comfortable operating in fast-moving, ambiguous problem spaces.
Medical insurance, Vision insurance, Dental insurance, 401(k), Disability insurance, Paid time off, Tuition reimbursement, Hybrid working model
Requirements- Commute to this job’s location (hybrid)
- 7+ years of professional experience
- Strong Python-based data science background
Position Requirements
10+ Years
work experience
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