Website https://twitter.com/sealedhomes Sealed

Sealed is a climate tech company on a mission to stop home energ

Who are we?
Sealed is a climate tech company on a mission to stop home energy waste and electrify all homes.

Sealed designs, manages, and finances home weatherization and electrification projects, making it easy and affordable for people to be more comfortable while using less energy. Our proven holistic approach can reduce energy use by 50% and takes a home completely off of fossil fuels with upgrades like high-performance insulation, air sealing, and heat pump HVAC. Our expert team designs the right solution, matches top-rated local contractors, and manages the project start to finish. Sealed covers the upfront costs, and we’re accountable to impact: if we don’t cut energy waste, we don’t get paid.

Sealed, one of Fast Company’s top ten most innovative energy companies of 2021, is venture backed and based in New York City. Learn more at sealed.com.

What will you do?
We are seeking an experienced and motivated Data Scientist to join Sealed’s growing Data Org. Reporting to the Director of Data, you’ll leverage your analytical and technical skills to drive the entire lifecycle from data exploration, analysis and modeling, selection and validation, and experimentation as well as contribute to deployment.

You will work with Energy Experts, Product Managers, Software Engineers, Data Engineers, and our Principal Data Scientist to build new and enhance existing ML models. Initial focus would be on predicting energy consumption under different scenarios and iterations with the plan to expand the Data Science offerings at Sealed to automate decisions and provide recommendations across the Marketing, Finance, and Product departments.

The Data Org is a new and growing team at Sealed so you must be able and excited to make foundational decisions as well as produce deliverables without necessarily having the full infrastructure and support of a larger company.

What success looks like:

  • Support our Principal Data Scientist to improve training sets, investigate anomalies, functionalize data wrangling, and optimize performance of existing models within the first 3 months.
  • Explore and mine internal and external datasets for new business applications and build toy models proving your hypotheses within the first 6 months.
  • Able to independently field energy market research requests from internal stakeholders by the end of 6 months.

Requirements:

  • 5 years relevant experience in a highly quantitative field (Machine Learning, AI, Computer Science, Statistics, Mathematics, Operational Research, etc.)
  • Proficient with Python and data manipulation/analysis libraries such as Numpy, Scipy, Pandas, Scikit-learn
  • Proficient with database querying (SQL), manipulating and analyzing large, high dimensional, structured, & unstructured datasets
  • Experienced in using multiple data science methodologies to solve complex business problems (e.g. statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, financial analysis, demand modeling, etc.)
  • Experienced in code management, version control, cloud computing infrastructure
  • Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge, educating them about our systems, as well as sharing insights and data-driven recommendations

Benefits & Perks:

  • Competitive salary
  • Flexible PTO
  • Stock options
  • Health benefits, including some focused on mental health
  • 401(k) plan
  • Paid family leave
  • Paid medical leave
  • Work from home stipend
  • Learning & development stipend
  • Flexible work environment: work remotely from anywhere within the US or from our headquarters office in NYC

To apply for this job please visit boards.greenhouse.io.