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Senior Data Scientist

Job in New York, New York County, New York, 10261, USA
Listing for: Lawrence Harvey
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: New York

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.
Qualifications
  • 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.
Featured benefits

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
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Position Requirements
10+ Years work experience
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