Employment Information
The Position
Do you dream about creating a more sustainable future? At Uplight, we are motivating energy users and providers to accelerate the clean energy ecosystem. Working with over 80 of the world’s leading electric and gas utilities, Uplight provides an end-to-end customer energy experience. Uplight delivers personalized experiences that customers have now come to expect–improving satisfaction, increasing revenue, reducing the cost to serve, and contributing to carbon reduction goals. We are B Corp certified, enabling us to put our values into action by not only making decisions for the benefit of our shareholders, but also for our customers, environment, employees, and community.
We are seeking a Data Scientist to join our team and help us achieve our ambitious goals for our business and the planet.
What you get to do:
- As a member of the Data Science team within the Engineering organization, you will be in the data trenches for multiple product lines across Uplight. Data Scientists at Uplight work with stakeholders across the company to design and build machine learning models to digest, decipher, and discover new ways of thinking about who/how/why people and businesses use energy the way they do.
- As a Data Scientist, you will be a contributor on day one. Your role will be part builder, part communicator, and part peer-reviewer. Data Science is a highly collaborative team, and you will be hands-on with your teammates and engineers from across the company answering questions, building models, and helping out however you can. At the same time, you will own your own code for analyses, as well as communicating out all results to people across the company.
- Skills and experience are necessary, but we hire on value alignment first, so if you feel you would be a good fit with us, still consider applying.
What you will contribute:
- A desire to work on business-driven technology problems
- A positive attitude
- General curiosity towards all things data and energy
What you bring to Uplight:
- Track record of building and maintaining machine learning models in a SaaS company
- Knowledge of advanced statistical techniques and concepts (propensity modeling, regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Ability to process, cleanse, and verify the integrity of data used for analysis and modeling
- Experience dealing with large quantities of data across relational databases, cloud storage, and distributed compute systems.
- Excellent written and verbal communication skills for presenting findings to technical and non-technical audiences
- Solid experience with common data science toolkits, such as scikit-learn, Spark ML, pandas, Scipy, etc
- Proficiency in Git or other version control systems
Bonus Points:
- Experience in Databricks and/or MLflow
What makes working at Uplight amazing:
- In addition to all the standard medical and dental benefits, that kick in Day 1, we are:
- Proud to be over 500+ purpose-driven individuals helping to create a more sustainable planet.
- Committed to the environment, our employees, and our communities.
- Focused on career growth by following defined career ladders.
- Committed to taking our work and mission seriously and….we love to laugh!
We also provide:
- 401k Match
- Medical, vision, and dental insurance
- Monthly wellness stipend
- Peer to peer recognition program
- Management by objectives bonus plan
- Innovative flexible time off policy
- Exceptionally collaborative and cool office spaces (once we reopen them)
Salary Range: $100,000 - 125,000
For Applicants within the United States:
In accordance with the Colorado Equal Pay for Equal Work Act, the approximate annual base compensation range is listed above. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant’s experience, knowledge, skills, and abilities, as well as internal equity among our team. Uplight provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type without regard to race (including hair texture and hairstyles), color, religion (including head coverings), age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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