Data Scientist

Aptive Environmental-posted 9 days ago
$100,000 - $130,000/Yr
Full-time • Mid Level
Provo, UT
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We are seeking a hard-working, innovative, detail-oriented, and creative team player to join our Aptive team! This is a full-time Data Scientist position located in Provo, Utah. This role combines advanced statistical expertise with machine learning, analytics engineering, and business acumen to improve process efficiency, enhance forecasting accuracy, and guide strategic initiatives. What we offer: $100k to $130k Annually, depending on experience Annual Bonus Group Health, Dental, and Vision plans Pet insurance, Life insurance, and EAP benefits 401K with employer match up to 4% Paid holidays and paid time off Opportunity for advancement Upbeat and exciting company culture and much more!

  • Develop and refine machine learning models to support forecasting, classification, ranking, or optimization needs across business units
  • Build, maintain, and enhance data pipelines, data models, and automated workflows to ensure reliable and scalable analytics operations
  • Conduct statistical and causal analyses to detect performance trends, identify root causes, and inform operational decision-making
  • Translate ambiguous business questions into analytical frameworks, clearly outlining hypotheses, assumptions, and limitations
  • Identify and correct data biases, including selection bias, survivorship bias, Simpson’s paradox, data leakage, and collider bias to ensure analytical integrity
  • Design, execute, and evaluate causal experiments and A/B tests to measure the impact of operational or product changes
  • Develop, monitor, and communicate KPIs that improve visibility into operational performance, resource allocation, and strategic outcomes
  • Prepare and present clear, decision-ready insights to executive leadership and cross-functional partners using visualizations, dashboards, and written summaries
  • Use SQL, Python, and internal data platforms (e.g., Snowflake, Airflow, AWS) to extract, validate, and transform large datasets for analysis and modeling
  • Collaborate with Engineering, Product, Operations, Finance, Marketing, and Strategy teams to align models, data structures, and insights with organizational needs
  • Validate analytical work rigorously, ensuring reproducibility, accuracy, and proper documentation across all models and deliverables
  • Provide guidance on analytical methods, experiment design, and statistical best practices to cross-functional stakeholders
  • 3-5 years in statistical analysis, data science, or related analytical roles with proven experience working with large datasets in business environments
  • Advanced statistical and machine learning expertise, including causal inference, experiment design, model development, and mitigation of common data biases
  • Proficiency in Python, SQL, data pipeline architecture, cloud data tools (e.g., Snowflake, Airflow, AWS), and BI platforms such as Tableau, Sigma, or Domo
  • Strong ability to translate complex analytical concepts into clear, actionable insights for non-technical stakeholders, supported by exceptional communication and visualization skills
  • Demonstrated analytical rigor, attention to detail, and ability to manage multiple projects while collaborating effectively across cross-functional teams
  • Annual Bonus
  • Group Health, Dental, and Vision plans
  • Pet insurance, Life insurance, and EAP benefits
  • 401K with employer match up to 4%
  • Paid holidays and paid time off
  • Opportunity for advancement
  • Upbeat and exciting company culture and much more!
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