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Location: Brasil (BR) - São Paulo - Indaiatuba Function: Data and Analytics (CA) Title: SR Data Scientist - Global Team - Indaiatuba/SP - 120949
As a Data Scientist for John Deere Financial at John Deere Brasil in Indaiatuba/SP, you will be responsible for developing, deploying and monitoring the performance of predictive models in support of JDF’S asset valuation team. This role works to transform data into insights to drive more efficient operations focused on Asset Valuations. You will be based in Indaiatuba, Brazil and align with the JDF Asst Valuation team headquartered in Johnston-Iowa-USA, aiming to execute and deliver the analytics and insights needed to support the business units. Join a team that is passionate about making a difference by applying different techniques to solve problems and leverage data as an asset.
Main Responsabilities
- Participate in the development and lifecycle management of the machine learning or regression-based asset value models, this may include development, enhancement, maintenance, and validation of models that are used across a growing number of functions and users within John Deere Financial.
- Use a variety of exploratory tools and analytical methods to solve problems by investigating and identifying trends and risks within Asset Valuation. Understand impact to the business and communicate findings to a variety of stakeholders.
- Support the development and maintenance of complex SQL queries, dashboards, visualization, and reports in enterprise data platforms such as Databricks, Tableau, Power BI becoming a subject matter expert in asset valuation data sets used by John Deere Financial.
- Deploy and integrate analytical models into production using CI/CD pipelines (such as GitHub Actions/Jenkins), adhering to software engineering best practices within the MLOps lifecycle.
- Support the development and maintenance of complex SQL queries, dashboards, visualizations, and reports in enterprise data platforms (Databricks, Tableau, Power BI), becoming a subject matter expert in asset valuation datasets.
Skills You Need
- Bachelor’s, Master’s, or PhD Degree in Finance, Computer Science, Data Analytics, Data Science, Engineering, Math, Statistics, or a related quantitative field;
- Advanced English (broad vocabulary, strong grammar, able to lead meetings, argue, negotiate and conduct training sessions);
- High proficiency in at least one of the following: Python (PySpark), SQL, R or SAS;
- Proficiency across the entire MLOps lifecycle, particularly predictive, machine learning, and time series forecasting;
- Experience to explore and visualize data (with a tool such as Python Dash, R Shiny, Tableau, PowerBI, etc.);
- Strong experience with standard data science code editors, development environments, and version control tools such as Databricks, VS Code, GitHub, and/or other IDE's;
- Commitment to team success and a proactive, collaborative approach to problem solving;
- Good communication and teamwork skills.
What Makes You Stand Out
- Experience connecting to and utilizing a wide variety of on-prem and cloud-based data sources and technologies (e.g. relational databases, data lake environments, etc.);
- Practical experience collaborating with IT or other Analytics Enablement groups to deploy analytics products to various production environments;
- Knowledge of Agriculture and Construction & Forestry Equipment;
- Knowledge of financial services/products and accounting concepts;
- Experience woriking in data science or a related field.
Our Main Benefits
- Variable compensation
- Health Insurance
- Dental Plan
- Life Insurance
- Private Pension Plan
- Vision Care Benefit
- Vaccination reimbursement
- Corporate University
- TotalPass
- Depending on the location, on-site cafeteria, meal voucher, or food allowance
- Pharmacy assistance
- And more
Our Recruitment Process
The selection process begins with your application. For some positions, additional assessments may be required. You will have the opportunity to meet members of the team during the interview stages!
Our recruitment process is flexible in terms of timing, so there is no need to worry. Our Talent Acquisition team is committed to providing you with the best possible candidate experience. We carefully review all applications and provide feedback at every stage of the process. In addition, all guidance and next steps will be shared via email.
About John Deere
John Deere is a global leader in providing advanced products, technology, and services for customers who play an essential role in agriculture, construction, forestry, and other industries. Our mission is to help meet the world’s growing need for food, fuel, shelter, and infrastructure, while promoting sustainability and preserving the planet we call home.
We innovate to drive productivity and protect our planet—and we invite you to be part of this journey. Together, we will create, test, and challenge ourselves so that life can keep moving forward. 💚