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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** AGCO Corporation - **Location:** Tremont, IL, United States - **Experience:** Starter - **Salary:** $84,000.0 - $176,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Cloud Computing, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Database Queries, Apache Hive, Python (Programming Language), Machine Learning, SQL Databases, Tableau (Software), System Availability, Information Technology, Data Analytics, Tools for Reporting, Domo, Data Pipelines, Databricks - **Published:** September 18, 2026 - **Apply:** https://careers.agcocorp.com/talentcommunity/apply/1431155000/?locale=en_US ## About the Role * Bachelor's degree in data science, Business Analytics, Statistics, Computer Science, Agriculture, or related field. Or M.S. degree with a strong data analysis background. * Experience in Business Intelligence, analytics, or data science roles supporting business operations. * Proficiency with BI tools such as Tableau or Domo. * Strong SQL skills and experience extracting, cleaning, and transforming data from multiple sources. * Experience using Python or R for statistical analysis or machine learning. * Ability to explain complex analytical concepts in a clear and concise manner to business stakeholders. * Strong problem-solving skills and attention to detail. Preferred Skills * 1 - 2 years professional experience * Experience working in Databricks (Lakehouse) environments, including Delta tables, Databricks/Spark SQL, notebooks, and scheduled jobs/workflows. * Ability to integrate and model data from multiple source systems (e.g., ERP/finance, CRM/sales, operations/field systems), including SQL databases, APIs, and flat files. * Familiarity with ETL/ELT patterns in a modern lakehouse stack and effective cross-team collaboration with data engineering on pipelines and data quality. * Knowledge of forecasting, segmentation, and statistical analysis techniques. * Background in financial, operational, or customer analytics. * Experience developing self-service semantic layers, curated datasets, and reporting frameworks that scale across teams. ## Description PTx is looking for a detail-oriented and business-focused Data Scientist to support our growing Business Intelligence function. This role blends advanced analytics with strong business acumen. The ideal candidate will enable the organization to make data-driven decisions through clear and actionable insights. The ideal candidate excels in transforming complex datasets into intuitive dashboards, reports, and predictive insights. This role requires the candidate to work with cross-functional teams and stakeholders to understand performance, identify opportunities, and drive strategic outcomes., * Partner with business leaders to understand KPIs, performance drivers, and reporting needs. * Develop and maintain dashboards, scorecards, and automated reporting tools to support daily decision-making. * Conduct deep-dive analyses to identify trends, operational gaps, and opportunities for improvement. * Build predictive and descriptive models that enhance business forecasting and performance measurement. * Translate data findings into concise, business-friendly insights, and recommendations. * Support data governance efforts by ensuring data accuracy, consistency, and reliability across systems. * Collaborate with IT and Cloud teams to enhance data pipelines and improve BI data availability. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Industrializing your Data Science capabilities](https://www.wearedevelopers.com/videos/178-industrializing-your-data-science-capabilities) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)