Data Scientist II, Optimization

Engineering United States


Description

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 90 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 II to join our team and help us achieve our ambitious goals for our business and the planet.    
    
What you will contribute:     
  • Develop and maintain the optimization models and software implementation that drives Uplight’s predictive controls platform for managing distributed energy resources 
  • Benchmark and debug critical issues with the algorithms and software as they arise 
  • Contribute to improving scalability and reliability of the system 
  • Work with product owners to develop new features and capabilities 
What you bring to Uplight:    
  • B.S., MS., or Ph.D. in computer science, operations research, industrial engineering, or related field 
  • Experienced with solving large optimization problems using linear / non-linear / integer / dynamic / stochastic programming, as well as heuristic approaches 
  • Deep understanding of  algorithms, data structures, performance optimization techniques, relational databases, and software development in a team environment 
  • Excellent programming skills in Python, Java or C++ 
  • Experience with optimization modeling languages (e.g. Pyomo, GAMS) and solvers (e.g. CBC, Cplex, Gurobi) 
 Bonus points:    
  • Experienced with decomposition approaches to solving large-scale optimization problems 
  • Hands-on experience with time series forecasting 
  • Understanding of energy and capacity markets 
  • Experience with frameworks such as Redis, Kafka, Celery, Hadoop/Spark 
 Don’t meet every single requirement? Studies have shown that women, marginalized genders and people of color are less likely to apply to jobs unless they meet every single qualification. At Uplight we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.    
    
What makes working at Uplight amazing:    
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 providing cross-functional work, collaboration, and development. 
  • 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  
Salary Range: $100,000 to $125,000     
    
Application Deadline: March 25, 2024    
    
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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