Data Scientist II, Senior or Principal

Black Hills Energy

$79K — $192K *
Energy & Utilities
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field (or equivalent experience)
  • 3+ years of data science experience for Level II, with higher experience requirements for Senior and Principal levels.
  • Proficiency in R and/or Python for application development and statistical analysis.
  • Familiarity with machine learning, AI, and advanced statistics for predictive modeling.
  • Experience with SQL for data querying and database management.

Responsibilities

  • Build and maintain efficient analytical programs using R and/or Python.
  • Develop predictive models and forecasts using machine learning and AI techniques.
  • Create data pipelines and manage database objects following data engineering best practices.
  • Effectively query and update data using SQL.
  • Communicate model design and output risks clearly to team members and stakeholders.
  • Stay updated on innovations in statistics and data science to enhance technical skills.

Benefits

  • Annual discretionary bonuses
  • 401(k) with a 6% company match and up to 9% contribution
  • Tuition reimbursement for continuing education
  • Generous paid time off, including holidays and parental leave
  • Comprehensive health benefits including medical, dental, and vision insurance.
Full Job Description
Job Description
Job Specifications

Position summary:

The Data Scientist II will be engaged in statistical forecasting, mathematical optimization, machine learning, and artificial intelligence projects. This position will collaborate with cross-functional teams to develop and deploy scalable AI- and technology-enabled solutions that enhance productivity, decision-making, and business outcomes. The Data Scientist II will be dedicated to increasing technical proficiency, staying apprised of the latest industry developments, and evaluating innovative technologies that can deliver measurable value to the organization.

Pay Range: This posting includes the full pay range for this position. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, experience, and internal equity.
Level II: $79,400 - $119,100
Senior: $97,150 - $160,150
Principal: $116,500 - $192,400

Reporting Relationship: Manager, Enterprise Data Science

Location: Our Company Headquarters in Rapid City, South Dakota.

Relocation Assistance: Relocation assistance is available based on individual circumstances! Details to be shared during the offer process.

Essential Functions:
• Builds robust computer programs to enable repeatable and efficient analysis using R and/or Python.
• Leverages machine learning, advanced statistics, and artificial intelligence to build predictive models, develop forecasts, and quantify complex relationships within data.
• Leverages large language models and generative AI tools
• Builds data pipelines and database objects within a SQL Server database using data engineering best practices.
• Uses SQL to efficiently query and update data.
• Strong professional communication skills, including the ability to explain model design, risks, and outputs, and the ability to collaborate within the team to create optimal products.
• Knowledge of best-practice model risk management: validation, testing, and control standards, including testing of assumptions, computational accuracy, and documentation of model weaknesses and risks.

Additional Responsibilities:
• Continuous pursuit of innovative knowledge and skills in the fields of statistics, economics, operations research, computer science, and data science.

What Is Required:
Level II:
• Bachelor's Degree Data Science, Statistics, Computer Science, Applied Mathematics, related field or an equivalent combination of education and experience.
• Minimum of 3 years of data science experience.
Senior:
• Master's Degree Data Science, Statistics, Computer Science, Applied Mathematics, related field or an equivalent combination of education and experience.
• Minimum of 5 years of data science experience.
Principal:
• Master's Degree Data Science, Statistics, Computer Science, Applied Mathematics, related field or an equivalent combination of education and experience.
• Minimum of 8 years of data science experience.

What Is Desired:
• Experience prototyping and developing applications in R and/or Python.
• Experience developing projects using machine learning, advanced statistics, and artificial intelligence (AI).
• Experience using large language models and generative AI tools.
• Experience¿utilizing data engineering concepts and techniques.
• Experience using SQL to query and update data and build database objects.

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 agreement will apply.

Enjoy our Comprehensive Benefits Package! Annual discretionary bonuses, 401(k) (6% company match and up to 9% company retirement contribution), tuition reimbursement, generous paid time off benefits, including paid holidays and parental leave, company paid life insurance and disability benefits (short and long term), critical illness, accident & group hospital insurance, pet insurance, an employee assistance program and well-being benefits, and competitive medical, dental and vision insurance.

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