Senior Data Scientist
Company | Arcadia |
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Location | Washington, DC, USA, New York, NY, USA |
Salary | $165000 – $215000 |
Type | Full-Time |
Degrees | Master’s, PhD |
Experience Level | Senior |
Requirements
- 2-5 years of experience working in fast-paced technology environments, developing ML/AI-based systems for the energy industry
- Master’s or Doctoral degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields
- Practical experience with Applied Machine Learning techniques, including regression, classification, and supervised/unsupervised learning
- Gen AI experience – both in the development of agentic / LLM-based product features and the use of Gen AI-based products in day-to-day model development
- Fluency with Python or R, SQL, and Java or JavaScript
- Experience with software engineering for real-world applications (ideally through professional experience)
- Strong foundation in mathematics including, linear algebra, calculus, probability, and statistics
- Experience with scalable machine learning (MapReduce, streaming)
- Experience with time series and dynamical systems
- Ability to manage projects and work efficiently independently and collaboratively
- Ability to quickly formulate and document assumptions to advance projects
- Intellectually curious, motivated, solution-oriented, and committed to making a positive impact
- Excellent verbal and written communication
- Project portfolio (GitHub, papers, etc.)
Responsibilities
- Collaborate directly with executive leadership to shape the technical AI strategy and product development at Arcadia
- Efficiently develop notebook-based solutions for customers, utilizing AI models, and Arcadia’s APIs and data
- Lead the development and integration of Gen-AI models into Arcadia’s products and processes
- Design and implement Machine Learning algorithms for critical energy applications, including forecasting, anomaly detection, and energy optimization
- Partner with data teams, Arcadia’s subject matter experts, and customer teams to seek, understand, validate, interpret, and correctly use data, models, and outputs
- Work with engineering to integrate models into the Arcadia Platform, contributing to design documents, code commits, and AI product documentation
- Contribute code to enhance our platform’s AI and data capabilities
- Collaborate effectively with remote team members
Preferred Qualifications
- Experience with scalable machine learning (MapReduce, streaming)
- Experience with time series and dynamical systems
- Ability to manage projects and work efficiently independently and collaboratively
- Ability to quickly formulate and document assumptions to advance projects
- Intellectually curious, motivated, solution-oriented, and committed to making a positive impact
- Excellent verbal and written communication
- Project portfolio (GitHub, papers, etc.)