Staff Data Scientist

Description

• Develop new forecasting models and workflows to create renewables/weather focused solutions for power trading products. 
• Help make other people (on their team and any other team they interact with) be more productive.
• They have influence well beyond themselves. This influence comes in the form of team leadership (not via reporting structure), exceptionally strong individual contribution, or something between.
• Go-to expert in one or more significant areas for their team
• Take complex projects and break work down into milestones to avoid large monolithic deliverables.
• Identify big issues and opportunities, and work across teams to create solutions to these issues.
• Provide feedback on projects outside their area.
• Understand the tradeoffs between technical and business goals, and strive to create solutions that satisfy both.
• Ability to help improving efficiency of data science processes that are written by non-engineers.
• Preemptively see problems before they appear.
• Deep understanding about data science workflow and decent understanding about data science techniques, find areas to improve for data science platform.
• Lead research efforts into potential new projects in data science, compare pros and cons of different products and design decisions, collecting use cases. Document the findings.
• Serve as a technical expert for the Data Science team and overall company.
• Work with Data Engineers and Software Developers to evaluate the technical trade-offs of tools to build, simple, yet robust, data science pipelines.
• Participate in client-facing conversations to explain methodologies developed by the Data Science team.
• Lead implementation of products needing cross-team support.
• Extensive knowledge of the products developed by data science team.
• Promote the institutional knowledge sharing within the team.

• Extensive experience with modern application/data development tools
• Advanced understanding of data structures and algorithms
• Understand of atmospheric and weather model data
• Experience developing predictive models from scratch
• Experience with full life-cycle of model development
• Strong skills developing and deploying data products using Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).
• Write well documented experiments and production-ready code.
• Ability to develop reports, demonstrations and presentations for clients or other members of the team.
• Advanced level of understanding in main programming language (language depends on role)
• Extensive experience with data science models and analytical methods, including classical machine learning, time series data etc
• Strong understanding of deep learning models
• Experience with data science model management tools

• 4 - 6 years of relevant work or research experience
• Master's or PhD degree in quantitative field such as Mathematics, Physics, Computer Science, Atmospheric Science, Electrical Engineering, or related field

• Ability to sit for long periods, work on a computer with repetitive motions and utilize devices typically found in an office environment.
• Able to safely lift up to 35 pounds at a time using safe lifting techniques.
• Ability to communicate effectively with another person.
• Regular and predictable attendance is required.
• Ability to work in an office environment as required.
• Travel requirements: 0% or as required for company needs

• Medical
• Dental
• Vision
• Income Protection (disability, life/AD&D, critical illness, accident)
• Employee Assistance Program (EAP)
• Healthcare Spending Account (HSA), Commuter
• Lifestyle & Wellbeing Program
• Pet Insurance