Data Engineer/Scientist

Overview

Develop and deploy ML models to predict SketchUp churn, engineer data pipelines.

Key Responsibilities

• data cleansing
• feature engineering
• model deployment
• churn prediction
• insight generation
• metrics tracking

Tasks

-Develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate datasets for customer segmentation, ML model training and evaluation. -Collaborate with product and go-to-market teams to engineer impactful features from raw customer data, developing metrics for tracking engagement and activity facilitating better understanding of customer behavior. -Extract meaningful insights from data and effectively communicate findings to optimize churn prediction models using metrics like AUC and lift. -Design, develop, and program methods, processes, and systems to deploy ML models (e.g., logistic regression, XGBoost) to predict churn risk for SketchUp's diverse customer base. -Generate actionable insights and solutions by translating complex model outputs into business-friendly insights for targeted retention strategies.

Requirements

• python
• sql
• machine learning
• etl
• data lakes
• bachelor's

What You Bring

-Strong critical thinking abilities and the capacity to work autonomously. -Proficiency in Python & SQL - other languages a benefit. -Demonstrated passion and aptitude for problem-solving. -Minimum of 5 years of experience in data science, data engineering or a related field, with demonstrated expertise in building, evaluating, and deploying machine learning models for predictive analytics, particularly in areas like churn prediction. -Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools, coupled with strong statistical modeling skills for churn analysis and customer segmentation, including cohort analysis and the use of demographic and firmographic data. -Effective collaboration skills within a team environment. -Bachelor's Degree in Computer Science, Data Analytics, Engineering, or a related field. Master’s and Ph.D. graduates welcome.

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About Trimble Inc.

-Offers integrated solutions across construction, agriculture, and transportation. -Cutting-edge technology streamlines workflows and improves efficiency. -Provides both hardware and software solutions, focusing on automation, geospatial data, and real-time analytics. -Notable projects include smart city infrastructure, autonomous vehicles, and precision farming systems. -Played a key role in developing GPS technology and transforming resource management. -Solutions help achieve higher productivity, safety, and sustainability.

Sector Specialisms