Partner with stakeholders to define problems, requirements, and success metrics (KPIs).
Deliver reliable datasets, analyses, dashboards, and ML prototypes that address those needs.
Communicate progress, risks, and results clearly to technical and non-technical audiences.
Maintain data quality, documentation, and reproducibility standards.
Major Responsibilities (may vary depending on project):
Run discovery (interviews, process mapping) and translate findings into clear requirements.
Build and maintain clean datasets with SQL/Python; create visuals/dashboards (e.g., Power BI).
Prototype and evaluate predictive/time-series models; document methods and results.
Demo work, gather feedback, iterate, and prepare simple handoffs for reuse.
Perform other duties as assigned.
Minimum Qualifications:
Working toward a bachelor's degree in a major related to machine learning (e.g. computer science, statistics, mathematics, engineering, or a closely related field).
Strong communicator and facilitator; comfortable writing clear docs.
Familiar with Python and SQL; solid grasp of basic statistics and model evaluation.
Organized, curious, and able to manage multiple projects and deadlines.
Nice to have:
Experience with time-series/forecasting, Power BI/DAX, or introductory deep learning/LLMs.
Familiarity with version control (Git/GitHub) and basic cloud data tools.
This is not a comprehensive list of duties. Duties may change without notice in management's sole discretion. Hendrickson is an at-will employer, each employee is free to resign at any time, just as Hendrickson is free to terminate employment at any time without cause or notice.
We are an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.