Job Title: Data Scientist I Location: Austin, TX 1333 S Congress Ave Contract Duration: 3 Months Expected hours: 40 Hours per Week Schedule: Onsite – 1st Shift Pay Range: 60 - 62 $ Per hour Benefits: 80 hours paid time off, Paid holidays, Medical insurance contributions, Dental, Vision and our 401k retirement savings plan Major Purpose Collaborate with business and analytics leaders to generate insights and answer business questions using techniques such as: • Advanced data visualization • Statistical analysis • Randomized testing • Predictive modeling • Forecasting • Optimization • Machine learning You’ll propose innovative approaches using enterprise and third-party data, validate findings through experimentation, and perform basic statistical analysis on low to moderately complex data. Major Duties • Analyze data sets using appropriate methodologies to provide insights and decision models • Create and implement algorithms for efficient data analysis • Communicate insights using visualization techniques • Identify and retrieve required data sources in collaboration with Data Wranglers/IT • Stay current with analytical techniques and explain their business applications • Discover patterns and insights valuable to the business Skills, Abilities, and Knowledge • Strong quantitative analytical skills • Industry knowledge • Excellent interpersonal, negotiation, and conflict resolution skills • Strong verbal and written communication • Business process knowledge • Proficiency in statistical analysis and data gathering techniques Education • Bachelor’s degree (or equivalent) in: • Mathematics • Economics • Statistics Work Experience • 1–3 years in: • Industry-specific roles • Data analytics • Data mining for insights • Using tools like SAS, Statistica, SPSS, or SAS E Miner Role-Specific Responsibilities at John Deere ISG • Communicate findings and methodologies to diverse stakeholders • Work with high-resolution machine and agronomic data • Develop production-ready ML models for precision agriculture • Define and analyze KPIs for customer outcomes • Collaborate with Data Engineering to ensure efficient data storage Required Technical Skills • Python (object-oriented programming) • SQL, Spark, Databricks • Tableau, Kepler.gl • Data modeling and quality assessment • Machine learning (regression, supervised/unsupervised learning, NLP, etc.) • Strong documentation and communication skills Preferred Qualifications • Geospatial data analysis and geo-indexing • Remote sensing, GIS, satellite imagery • Computer vision and machine learning (CVML) • Advanced AI techniques • Publications, patents, or project portfolios • Experience with distributed datasets and diverse data structures • Additional languages: Java, JavaScript, Scala • Simulation techniques (e.g., Monte Carlo, Gibbs sampling) • Model validation and drift analysis • Cross-functional collaboration (Product, Sales, Finance) • Ability to explain complex analytics to non-technical audiences