Data Scientist

Gentex Corporation•Zeeland, MI

14d

About The Position

The Data Scientist II uses statistical methods and machine learning to create predictive models, analytics, and data features that extract value from operations data. The role participates in cross-functional, high-level projects and provides guidance to engineering staff.

Requirements

Four-year degree in Data Science, Statistics, Mathematics, or a related field.
3–6 years of experience creating machine learning models and algorithms.
Proficiency in Python and related data science packages.
Proficiency in SQL and data management.
Proficiency in Microsoft Office.

Nice To Haves

Advanced degree in Data Science, Statistics, Mathematics, or a related field.
Excellent verbal and written communication skills, including data visualization and presentation.
Experience with Snowflake, Dataiku, Spark, and R.
Advanced modeling experience in NLP and LLMs.
Familiarity with Kubernetes, Docker, GIT, and deployment pipelines.
Experience with manufacturing systems and data analysis.

Responsibilities

Work with business leaders and subject matter experts to evaluate project benefits and feasibility.
Assist with organizational data collection, cleaning, and maintenance.
Mine data to identify trends, patterns, anomalies, and gaps in data quality and availability.
Use ad hoc analytics to understand the significance of data.
Create data features from existing data to improve modeling.
Develop machine learning models to support operational cost improvement efforts.
Assist with deploying algorithms using developed machine learning models.
Create understandable summaries of developed models and algorithms.
Present findings, improvements, and cost savings to business leaders.
Teach and guide engineering staff in localized machine learning projects.
Perform other duties as assigned.
Gather diagnostic information from appropriate sources and use effective questioning to clarify situations.
Apply logical, systematic, and sequential approaches to problem-solving.
Manage complex, high-volume, and sometimes contradictory information to solve problems.
Learn through experimentation and use successes and failures as learning experiences.
Apply project management knowledge, skills, tools, and techniques to meet project requirements.
Communicate clearly across different modes and audiences.
Maintain honesty, integrity, and confidentiality regarding company matters.
Follow company policies, procedures, and safety regulations, and promote a safe workplace.