Data Scientist

• Work independently and collaboratively on analytical, programming, modelling, and data management activities
• Map out and document problem statements, project requirements and associated workflows in pursuit of efficient and effective solutions
• Leverage a curious mindset, initiative, and “elbow grease” to enhance existing processes, and to innovate new forecasting methods, tools, and software
• Communicate complex, technical content to a diverse audience through written reports and presentations
• Apply a persistent drive for quality results to lead the development of data pipelines, reusable software packages and visualizations
• Stay current with forecasting research and industry best practices; evaluate and implement relevant approaches strategically

Do you have experience in Software development?, This role requires a self-starter with demonstrated ability to work seamlessly both unsupervised and in a fast-paced, collaborative team environment. This position will be focused on long-term forecasting, with potential opportunities to work in long-range forecasting as well. The candidate will have an opportunity to lead the team’s development of next generation forecasting tools that are integral to the planning and operation of the future grid., * Bachelor’s degree in Economics, Mathematics, Engineering, Operations Research, or a related field

• 3+ years of experience in the energy industry in forecasting, data analytics, or equivalent
• Proficiency in at least one advanced programming language such as Python, R, MATLAB, or SAS
• Hands-on experience developing software in a collaborative team environment
• Experience working with big data, geospatial analytics, and/or probabilistic forecasting
• Experience building applications that ingest and use data from multiple sources and formats (i.e., data wrangling/data munging).
• 5+ years of relevant experience is required to be considered for a senior-level position. 7+ years of relevant experience is required to be considered for a lead-level position.
• Excellent written and verbal communication skills
• Desired but not required:
• Experience in electricity consumption modelling or economic modelling in the energy sector
• Knowledge about distributed energy resources (e.g. photovoltaics, batteries), electric vehicles, and/or cold-climate heat pumps

This employer will not sponsor applicants for work visas for this position (ex: H-1B, F-1/CPT/OPT, O-1, E-3, TN, J, etc.).

3.33.3 out of 5 stars 55 Helmsford Way, Windsor, CT 06095 Hybrid work $86,000 - $146,000 a year - Full-time, Pulled from the full job description

• Tuition reimbursement
• AD&D insurance
• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Health savings account, * Competitive compensation with a base salary + performance bonus
• Robust benefits package, including:
• Enhanced 401(k) and financial planning support
• Tuition reimbursement and professional development
• Wellness programs, including an onsite gym
• Flexible work hours
• Employee Business Networks
• Onsite luncheon spaces with free coffee and a variety of dining options
• Hybrid work environment (3 days/week onsite)
• Distance-based relocation assistance available, The expected salary range for the Associate to Mid-Level is $86,000 - $120,000 per year. We will also consider a Senior or Lead. The pay range for the Senior to Lead level is $117,000 - $146,000 annually. This role is also eligible for an annual performance bonus, comprehensive health insurance (medical, dental and vision), flexible spending and health savings accounts, a 401(k) plan with generous employer contributions and a student debt benefit, life and AD&D insurance, disability insurance, critical illness and hospital indemnity benefits, paid time off, paid leave, a wellness program, an employee assistance program and other great company perks.

ISO New England is the independent system operator responsible for ensuring the safe and reliable flow of electricity in our region and planning for the future of the electric grid. We are at the forefront of New England’s ongoing transition to clean energy.

New technologies and the New England region’s economy-wide decarbonization efforts are driving a profound transformation in the work of the Forecast Group within System Planning. Responsible for analytics and predictive modeling of the region’s electricity demand across all timescales-spanning both short-term and long-term time horizons-the Forecast Group is innovating and redesigning its forecasting methods, software, and tools to meet changing trends in how retail customers procure, manage and use electricity.