DNA Lead Data Scientist (Multiple Positions)

Archer Daniels Midland•Erlanger, KY

1d•Hybrid

About The Position

This position at Archer Daniels Midland Company involves developing data mappings, creating transformation models, and designing workflows to standardize and load data from various ERP systems into a unified Datamart. The role drives business results with data-based insights, utilizing advanced mathematical models, operations research techniques, and simulation to deliver insights, recommendations, and solutions for manufacturing and business challenges. It involves using large data sets to identify opportunities for manufacturing and process optimization and using models to test the effectiveness of different courses of action. The Lead Data Scientist will utilize a variety of data mining and analysis methods, tools, models, algorithms, and simulations to build, implement, and run comprehensive data-driven solutions. Responsibilities also include developing custom data models and algorithms, managing individual analyses, providing clear communications of findings and recommendations, organizing team materials for reviews and quality checks, and presenting findings to leadership. ADM is a global leader in human and animal nutrition and agricultural origination and processing, committed to sustainability and fostering a diverse, equitable, and inclusive work environment.

Requirements

Master’s degree or foreign equivalent degree in Engineering (any), Statistics, Applied Mathematics, Computer Science, Business Analytics, or a related field.
Three (3) years of related work experience.
Three (3) years of experience with/in mapping standardized schema from at least three (3) of the following ERP systems, such as MAPICS, IBM, SAP S4, Oracle, Navision, and/or JD Edwards.
Three (3) years of experience with/in writing complex SQL queries for data extraction, transformation, and loading (ETL).
Three (3) years of experience with/in utilizing cloud-based data tools (e.g., Azure Synapse and Databricks) and creating ETL pipelines for large-scale data processing and end-to-end solutions.
Three (3) years of experience with/in delivering findings and results in an agile project model team setting.
Three (3) years of experience with/in performing data mining, data analytics, and predictive modeling with Python and PySpark.
Three (3) years of experience with/in data warehousing concepts, Datamart design, and best practices for building and maintaining scalable data systems.
Three (3) years of experience with/in advanced statistical techniques and concepts, such as regression, properties of distributions, statistical testing, and proper usage, and experience with their applications.

Responsibilities

Develop data mappings, create transformation models, and design workflows to standardize and load data from various ERP systems into a unified Datamart.
Drive business results with data-based insights.
Use advanced mathematical models, operations research techniques, and simulation to deliver insights, recommendations, and solutions to address manufacturing and business challenges.
Use large data sets to find opportunities for manufacturing and process optimization and use models to test the effectiveness of different courses of action.
Utilize a variety of data mining and analysis methods, tools, models, algorithms, and simulations to build, implement, and run comprehensive data-driven solutions.
Develop custom data models and algorithms to apply to data sets.
Manage individual analyses and provide clear communications of findings and recommendations.
Organize team materials to facilitate reviews, quality checks, and deliverables and present findings to leadership.

Benefits

Competitive pay
Medical/Rx
Dental
Vision
On-site wellness center access or gym reimbursement (as applicable)
Flexible spending accounts
Health savings account
401(k) with matching contributions and cash balance plan
Discounted employee stock purchasing program
Life insurance
Disability
Workers’ compensation
Legal assistance
Identity theft protection
Employee Assistance Program (EAP)
Employee Resource Groups (ERGs)
Colleague Giving Programs (ADM Cares)
Paid time off
Paid holidays
Adoption assistance
Paid maternity and parental leave
Tuition assistance
Company-sponsored training and development resources, such as LinkedIn Learning, language training and mentoring programs