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EPITEC

Data Scientist I - Data Science & Machine Learning

EPITEC, Johnston, Iowa, United States, 50131

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Job Title: Machine Learning & Data Scientist

Location: Johnston, Iowa 50131

Work Mode: Remote

Contract: 6 Month Ongoing Contract, Likely Extension

Education & Experience Requirements:

Bachelor’s or Master's degree in Computer Science, Engineering, or a related technical field preferred

5+ years of experience in systems engineering or infrastructure operations

Role Summary: Our client is seeking a highly skilled Machine Learning & Data Scientist to support enterprise analytics initiatives. This role focuses on transforming raw data into actionable insights through statistical modeling, forecasting, optimization, and machine learning. You’ll collaborate with business and analytics leaders to answer complex questions, validate findings through experimentation, and communicate results through compelling visualizations.

Key Responsibilities:

Analyze complex datasets using statistical and machine learning techniques

Develop and implement algorithms to manage and transform data efficiently

Create dashboards and visualizations to communicate insights to stakeholders

Collaborate with Data Wranglers and IT to source and prepare data

Apply experimental and iterative approaches to validate insights

Translate technical findings into business-friendly language and visual formats

Support decision modeling and forecasting for business units

Stay current with emerging analytical techniques and recommend their use

Must-Have Skills:

Strong quantitative and analytical skills

Experience working in uncertain environments with limited requirements

Proficiency in SQL and Python (3–5 years)

Hands-on experience with PySpark and large‑scale data processing

Experience creating automated unit tests

Dashboard design and data visualization expertise using Tableau (1–3 years)

Familiarity with enterprise statistical tools (e.g., SAS, SPSS, Statistica)

Excellent communication and collaboration skills

Ability to work independently in remote settings

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