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Notice from Black Hills Energy: The safety and well-being of our employees and candidates is a top priority. For the foreseeable future, candidates who are selected for an interview will be able to participate virtually via video or phone.

Data Scientist II or Senior

Location: Rapid City, SD, United States
Job ID: 32768
Date Posted: Feb 4, 2020
Salary: $68450 to $102750 annually

Job Description

This position requires relocation to Rapid City, South Dakota. See relocation assistance details below.

We are seeking experienced Data Scientists to join a dynamic, entrepreneurial quantitative research and modeling team. You will play a critical role in advancing the state of statistical forecasting, economic analysis, and optimization modeling in the organization. You will do this by supporting the development of a new suite of tools and value-add services that drive operational efficiency, resource optimization, and competitive advantage across utility operations. 

SALARY RANGE:    $68,450 - $138,150 (Determined by the knowledge, skills and abilities of the applicant.)
REPORTING RELATIONSHIP:   Manager, Quantitative Analytics

LOCATION: Rapid City, South Dakota: You’ll find that it is the ideal community to live, work and do business in. With hiking trails, the Black Hills, Mount Rushmore and Badlands National Park in your backyard, there are endless opportunities to enjoy nature. 

  • Rapid City - Hidden Gem of the West: 
  • Rapid City Chamber of Commerce: 
  • A Comprehensive Relocation Plan is offered for this position! Our benefits include but are not limited to: home finding trip, transportation of household goods, temporary housing expenses, destination apartment search assistance, paid time off to move, transition and spousal career support, home finder and purchase assistance, relocation adjustment allowance, destination new purchase closing costs. Depending on individual circumstances, our benefit may also include trips home during temporary housing, renter’s lease cancellation assistance, or home marketing and sale closing cost assistance and/or purchase closing cost assistance. Contents of our relocation program are subject to change and may vary based on position.


  • Performs advanced quantitative analyses and model development to drive decision-making. 
  • Hands-on experience building econometric and statistical models to solve complex forecasting and pricing/revenue/resource optimization problems.
  • Passion for and ability to conceptualize, develop, and deploy new technological applications and decision support tools, including programming models and web applications in R and Python and working with information technology teams to move models/applications from prototype to production. 
  • Ability to apply principles of data engineering, including working directly with information technology teams on data warehousing and database architecture projects to support the data needs of the Quantitative Analytics team.
  • Experienced across the data science pipeline: writing efficient queries and extracting, cleaning, processing, and visualizing large volumes of data to derive insights. 
  • Knowledge of best-practice data governance and model risk management: validation, testing, and control standards, including testing of assumptions, computational accuracy, and documentation of model weaknesses and risks.
  • Strong professional communication skills, including the ability to explain model design, risks, and outputs, and the ability to interface with executive leadership to translate complex analyses into action. 


  • Continuous pursuit of cutting-edge knowledge and skills in the fields of statistic, economics, operations research, computer science, and data science.


  • Bachelor’s degree in Operations Research, Statistics, Econometrics, Computer Science, Applied Mathematics or related discipline required.
  • Minimum 2 years of graduate-level academic or 3 years of professional experience in a statistician, quantitative modeling, econometrics or data scientist role required.
  • Minimum 2 years of experience and advanced proficiency in using statistical programming languages such as R and Python – SciPy and scikit-learn libraries required.
  • Master’s degree in Operations Research, Statistics, Econometrics, Computer Science, Applied Mathematics or related discipline preferred.


  • Advanced knowledge of mathematics, statistics, engineering methods, and other principles and laws of scientific and economic disciplines required to analyze complex systems.
  • Interest in and basic knowledge of machine learning and big data analytics.
  • Interest in climate science and meteorology. 
  • Statistical programming languages.
  • Technology development lifecycle.
  • Quantitative modeling design and validation.
  • Entrepreneurial, creative, curious, and inquisitive.
  • Ability to thrive in a fast-paced undefined and ambiguous environment.
  • Able to apply principles of the scientific method and empirical research.
  • Exceptional work ethic.
  • High energy.
  • Strategic thinker.
  • Exceptional math skills.
  • Excellent problem solver.
  • Ability to gain credibility of peers and executive leadership.

The mental and physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Mental Requirements:  Ability to understand, remember, apply oral and/or written instructions or other information, and communicate routine factual information. Ability to apply common sense in performing job functions, usually within a set of rules or guidelines.

While performing the duties of this job, the employee is continuously (67% or more) required to: use fingers and hands, communicate, and have close visual acuity. Employee is frequently (34-66%) required to: reach, push/pull, ascend/descend stairs, position self to access lower items, and move about the office. Employee must be able to operate routine office equipment including computers and similar equipment. Must be able to routinely perform this work for an average of 6-8 hours per day and occasional extended hours as necessary. Must be capable of regular, reliable, and timely attendance.

Specific lifting abilities required by this job include:  Sedentary work. Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or continuously to lift, carry, push, pull or sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

Work environment:  Must be able to routinely perform work indoors in climate-controlled shared work area with moderate noise level.  Must be capable of up to 10% travel (e.g. 2 days/month) by automobile (as driver and passenger), commercial airlines, rental vehicles and public transportation and be able to lodge in public facilities. Travel will be necessary to conduct the duties of this job, and the employee must have the ability to drive and have proper licensing.

This description is not intended to be an all-inclusive list of responsibilities, duties, and requirements for employees in this position. Job descriptions may and do change periodically. Where positions are covered by a collective bargaining unit agreement, the terms and conditions of the collective bargaining unit agreement will apply.

About our Company: We are a customer focused, growth-oriented utility company that is devoted to our communities. We have a mission to improve life with energy and a vision to be the energy partner of choice. Our diverse culture sparks unique perspectives, opening doors to new ideas and possibilities. Based in Rapid City, South Dakota, we have over 2900 employees and serve 1.2 million natural gas and electric utility customers across eight states (South Dakota, Montana, Wyoming, Colorado, Nebraska, Iowa, Kansas, and Arkansas).

Enjoy our Comprehensive Benefits Package: annual incentive program, 401(k) (6% company match and up to 9% company retirement contribution), tuition reimbursement, paid time off, additional Veteran PTO, military leave differential pay, paid holidays and annual floating holidays, company paid short term and long term disability, paid maternity and paternity benefits, health and wellness program, and competitive medical, dental and vision insurance.

Candidates must successfully pass a pre-employment drug screen and background check. 

Black Hills Energy does not sponsor applicants for work visas. All applicants must be legally authorized to work in the US.

EOE, Including disability/vets.


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Thinking of Relocating?

Rapid City, South Dakota
You'll find that it is the ideal community to live, work and do business in. With hiking trails, the Black Hills, Mount Rushmore and Badlands National Park in your backyard, there are endless opportunities to enjoy nature.

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