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 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 moderately complex data. Key Responsibilities: • Analyze datasets using appropriate methodologies to provide insights and decision models • Create and implement algorithms for efficient data analysis • Communicate insights using effective visualization techniques • Identify required data sources and collaborate with Data Wranglers/IT • Stay current with analytical techniques and explain their business relevance • Discover patterns and insights valuable to the business Required Skills & Knowledge: • Quantitative analytical skills • Industry knowledge • Strong interpersonal, negotiation, and conflict resolution skills • Excellent verbal and written communication • Business process understanding • Proficiency in statistical analysis and data gathering techniques Education: Bachelor’s degree (or equivalent) in: • Mathematics • Economics • Statistics Experience: • 1–3 years in industry-specific roles • 1–3 years in data analytics • Experience mining data for insights • Familiarity with 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 Technical Skills: • Proficiency in Python or other object-oriented programming languages • Experience with SQL, Spark, Databricks • Visualization tools: Tableau, Kepler.gl • Data modeling and quality assessment • Machine learning: regression, supervised/unsupervised learning, NLP Preferred Qualifications: • Geospatial data analysis and geo-indexing • Remote sensing, GIS, satellite imagery • Computer Vision and Machine Learning (CVML) • Advanced AI techniques • Portfolio of work (publications, patents, projects) • Familiarity with distributed datasets and various data structures • Additional languages: Java, JavaScript, Scala • Simulation techniques: Monte Carlo, Gibbs sampling • Model validation and drift analysis • Cross-functional collaboration experience • Ability to explain complex analytics to non-technical audiences #INDOEM