Data Scientist

Location Zip Code : 84604

Job Family : Data Engineering

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!

Responsibilities include :

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

Qualifications :

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field; or equivalent practical experience

Requirements :

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

Aptive Pest Control :

Aptive Pest Control provides pest control services to 34 states in the US. Co-founded in 2015 by Vess Pearson and David Royce, Aptive launched with the clear intention of becoming a world-recognized brand.

In 2021, Aptive was included in Inc. Magazine’s “Best in Business” list of companies that make a positive impact. Aptive is also featured on Glassdoor's 2019 list of Top 100 US workplaces and is ranked one of Entrepreneur Magazine's Best Companies in America. We are a proud member of the EPA's Pesticide Environmental Stewardship Program and have partnered with the United Nations Foundation’s "United to Beat Malaria" to help stop the spread of malaria transmitted by mosquito bites.