- 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.
- 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.
- 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.
- 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.
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Data Scientist - Zeeland, United States - Gentex Corporation
Description
Advance the automotive market and advance your career at Gentex Join a collaborative culture devoted to innovation, cooperation, and continuous improvement. Your ideas are not just heard, they are celebrated Explore Gentex today
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
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 Gentex will not discriminate against any qualified individual who can perform the essential functions of the job with or without a reasonable accommodation.
Understand your right to work
At Gentex, we use E-verify to confirm you're authorized to work in the U.S.
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