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Data Scientist

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: SYSO Inc.
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Key Responsibilities
  • Build price forecasts and peak load models using statistical and machine learning methods.
  • Work with large datasets (price, generation, load, weather) across multiple ISO/RTO markets.
  • Design and implement dispatch and optimization algorithms and market offer strategies for battery energy storage systems (BESS) to maximize economic performance while considering asset specifications, market constraints, and regulatory rules.
  • Develop simulation environments to test the efficacy of various market participation strategies.
  • Deploy and validate predictive models and workflows in production-grade code.
  • Develop data visualizations and dashboards to summarize model outputs and market trends.
  • Advise on the Company’s needs for developing new data science and analytical capabilities.
  • Establish key performance metrics related to asset optimization.
  • Collaborate closely with SYSO teams including Engineering, Operations, and Energy Markets teams to integrate data insights with real-time operations and market strategies.
  • Conduct ad-hoc analyses to support business development and market strategies decisions.
Required Qualifications /Skills/Education
  • BA/BS in Data Science, Computer Science, or an equivalent technical or mathematical field.
  • Relevant professional experience – candidates ranging from early-career to senior will be considered.
  • Strong analytical and coding skills with proficiency in Python or other analytical tools.
  • Ability to collaborate effectively and thrive working in a variety of capacities across the company.
  • Strong problem-solving and organizational skills.
Desired Qualifications/Skills/Education
  • Masters or PhD in Data Science, CS, or an equivalent technical or mathematical field.
  • Familiarity with cloud computing ecosystems such as AWS, and data science frameworks such as Metaflow, Databricks or Kubeflow.
  • Experience with statistical analysis and data visualizations using R.
  • Experience formulating and solving mixed-integer linear programming (MILP) optimizations.
  • Direct experience working in the energy industry.
  • Demonstrated understanding of wholesale power market mechanics.
  • Familiarity with renewable energy or battery storage development and operations.
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