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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.
Job Responsibility:
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
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 have:
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
What we offer:
Medical
Dental
Vision
Life
Disability
Time off plans
retirement plans
tax savings plans for health, dependent care and commuter expenses