Apply on Employer Site

Aptive Environmental · 10 hours ago

Data Scientist

Provo, UT

Full-time

Onsite

Mid Level

$100K/yr - $130K/yr

3+ years exp

Aptive Environmental is a company that provides pest control services and is seeking a Data Scientist to enhance their analytics capabilities. The role involves developing machine learning models, conducting statistical analyses, and collaborating across teams to improve business processes and decision-making.

CommercialEnvironmental ConsultingService Industry

H1B Sponsor Likely

Responsibilities

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

Qualification

Machine LearningStatistical AnalysisData Pipeline ArchitecturePythonSQLCloud Data ToolsBI PlatformsCommunication SkillsAttention to DetailCollaboration Skills

Required

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

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

Benefits

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!

Company

Aptive Environmental

Glassdoor3.7

Aptive environmental provides environmentally responsible residential and commercial pest solutions.

Founded in 2015

Provo, Utah, USA

5001-10000 employees

http://goaptive.com/

H1B Sponsorship

Aptive Environmental has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2024 (3)

2023 (1)

2021 (1)

2020 (11)