Machine Learning Data Scientist

Trimble Inc.•Lake Oswego, OR

6d•$122,642 - $165,466•Onsite

About The Position

Drive Innovation as our Next Data Engineer / Scientist (Predictive Analytics)! Ready to make a tangible impact on global industries using cutting-edge AI? Trimble is looking for a passionate problem-solver like you to leverage data to drive meaningful business outcomes and contribute to the success of our data-driven initiatives! You will unleash your potential by designing systems that improve customer retention for SketchUp, turning complex datasets into actionable strategies that move the world forward. About Us: Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress. AECO: The Trimble AECO segment provides digital construction solutions that increase precision and productivity for Architecture, Engineering, Construction, and Operations. What Makes This Role Great: In this role, you will be at the forefront of developing predictive machine learning models, directly influencing customer retention for our SketchUp product and shaping the future of how we understand and engage with our global user base.

Requirements

5+ years of expertise in data science or engineering, specifically building and deploying predictive machine learning models.
Proficiency in Python and SQL for data manipulation and algorithm development.
Strong grasp of data engineering concepts including data lakes, ETL tools, and columnar formats.
Experience in statistical modeling for churn analysis, customer segmentation, and cohort analysis.
Bachelor's degree in Computer Science, Data Analytics, or Engineering (Master's or Ph.D. preferred).

Nice To Haves

Experience with demographic and firmographic data integration.
Familiarity with BI tools and cloud-based data environments.
Advanced academic research in predictive analytics or related fields.

Responsibilities

Design and deploy sophisticated ML models, such as XGBoost and logistic regression, to proactively identify and mitigate churn risk.
Translate complex model outputs into business-friendly insights that drive targeted go-to-market retention strategies.
Engineer impactful features from raw customer data to develop advanced metrics for tracking global engagement and activity.
Architect automated processes and algorithms to cleanse and integrate massive datasets for high-level customer segmentation and model training.
Optimize churn prediction performance using advanced metrics like AUC and lift to ensure maximum business impact.