Data Scientist

Gentex Corporation; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

Gentex Corporation in the United States is seeking a Data Scientist II to apply statistical methods and machine learning to build predictive models, analytics, and data features that unlock value from operations data.

You will collaborate with business leaders, assist with data collection and cleaning, develop models to cut costs, deploy algorithms, and present findings to leadership while guiding engineering teams on localized ML projects.

Qualifications

• 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.

Responsibilities

• Collaborate with business leaders to evaluate project benefit and feasibility.
• Assist with organizational data collection, cleaning, and maintenance.
• Mine data to identify trends, patterns, and data quality gaps.
• Derive an understanding of data significance through ad-hoc analytics.
• Create new data features based on existing data to improve modeling.
• Develop machine learning models to facilitate operational cost improvement efforts.
• Assist with deployment of algorithms using developed machine learning models.
• Create understandable synopses of developed models and algorithms.
• Present findings, improvements, and cost savings to business leaders.
• Teach and guide engineering staff in localized machine learning projects.

Skills

Analytical thinking

Project management

Communicating Effectively

Nimble learning

Diagnostic information gathering

Education

Four-year degree in Data Science, Statistics, Mathematics, or a related field

Tools

Python data science stack

SQL

Excel / Microsoft Office

Snowflake

Dataiku

Spark

R

Kubernetes

Docker

GIT

Job description

At Gentex, you’ll help create innovative technologies that improve how people live, travel, and stay connected. Join a company driven by quality products across an evolving range of industries.

POSITION OVERVIEW

The Data Scientist II will use statistical methods and machine learning to create predictive models, analytics, and data features which will be used to mine value from operations data; participate in cross-functional high-level projects, as well as provide guidance to engineering staff.

WHAT YOU’LL DO

Work with business leaders and subject matter experts to evaluate project benefit and feasibility.

Assist with organizational data collection, cleaning, and maintenance.

Mine data to identify trends, patterns, anomalies, and gaps in data quality and availability.

Derive an understanding of data significance through ad-hoc analytics.

Create new data features based on existing data to improve modeling.

Develop machine learning models to facilitate operational cost improvement efforts.

Assist with deployment of algorithms using developed machine learning models.

Create understandable synopses of developed models and algorithms.

Present findings, improvements, and cost savings to business leaders.

Teach and guide engineering staff in localized machine learning projects.

Other duties as assigned.

HOW YOU’LL DO IT

• Diagnostic information gathering - Identifying the information needed to clarify a situation, seek that information from appropriate sources, and use skillful questioning to draw out the information.
• Analytical thinking - Tackling a problem by using a logical, systematic, and sequential approach.
• Managing complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.
• Nimble learning - Actively learning through experimentation when tackling new problems, using both successes and failures as learning experiences.
• Project management - Applying knowledge, skills, tools, and techniques to manage and meet project requirements.
• Communicating Effectively - Developing and delivering multi-mode communications that convey clear understanding, taking into account the unique needs of different audiences.
• Maintaining high level of honesty, integrity, and confidentiality with respect to company matters.
• Complying with all Company policies and procedures, safety regulations, company safety policies and safely perform all duties, including but not limited to, promoting a safe workplace.

WHAT TO BRING

• 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.

WHAT WILL HELP

• 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 in areas of NLP and LLMs.
• Familiarity with Kubernetes, Docker, GIT, and deployment pipelines.
• Experience in manufacturing systems and data analysis

Gentex is an equal opportunity employer Gentex extends equal employment opportunities to qualified applicants and employees regardless of an individual’s race, color, religion, national origin, age, sex (including pregnancy, gender identity, and sexual orientation), disability, marital status, military service, height, weight, genetic information, or any other reason protected by law.

Assistance Gentex is committed to working with and providing reasonable accommodation to applicants with disabilities. For accommodation requests, email us at [e-mail]. Gentex will not discriminate against any qualified individual who can perform the essential functions of the job with or without a reasonable accommodation.

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Our culture is built on doing things right, doing the right thing, innovation, quality, people, and business discipline—creating an environment where employees are empowered to think differently, uphold high standards, and do their best work.