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Data Scientist

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About FUCHS:

FUCHS Lubricants Co. is the United States operating unit of FUCHS S.E., the world's largest independent manufacturer of specialty lubricants with global sales of over $3.5 billion. We provide high-quality lubricants and services to a wide range of industries such as automotive, appliance, aerospace manufacturers, pharmaceuticals, transportation, food and beverage, mining, and energy. The organization is constantly developing new technology to meet the ever-changing demands of modern industry, and we are recognized for providing world-class technical support to our strong customer base.


MOVING YOUR WORLD
by focusing on your success:

FUCHS offers a challenging and rewarding working environment where employees are encouraged to develop and grow. We stand behind our core values: trust, creating value, respect, reliability, and integrity. Ours is a culture that fosters creativity and empowerment, values work/life balance, and gives you the freedom to excel. At FUCHS, we aim to nurture your capabilities, ideas, and career.


Salary:

FUCHS offers a competitive salary commensurate with experience in a similar position. The salary range for this position is $105,000 - $120,000 per year, but actual salary will vary depending upon a new hire’s experience and qualifications, as well as internal equity.


Description:

The Data Scientist leverages statistical methods, machine learning techniques, and robust data analysis to uncover insights that improve business performance. This role focuses on hands-on exploration, modeling, and experimentation while collaborating with cross-functional teams to deliver data-driven solutions. The Data Scientist is passionate about learning from data, testing hypotheses, and building foundational analytical assets that support decision-making across the organization.


Your Responsibilities:

Strategy & Planning

  • Partner with analysts, engineers, and business stakeholders to define metrics and identify areas for analytical impact.

  • Support dataset design and experiment setup in collaboration with statisticians.

  • Contribute to analytics standards, documentation, and data mining methodologies.

  • Identify linkages across data sources and propose creative new data combinations.

Acquisition & Deployment

  • Research analytical tools, technologies, and data sources to recommend enhancements.

  • Support data collection efforts and ongoing data quality improvement initiatives.

Operational Management

  • Build predictive models and algorithms to address targeted business problems.

  • Analyze large datasets to surface trends and actionable insights.

  • Develop visualizations that communicate analytical findings effectively.

  • Assist in the development of reusable tools, libraries, and automation.

  • Participate in testing, model validation, and change-control processes.

  • Partner with engineering and database teams to ensure data integrity.


Qualifications we are looking for:

  • Master’s degree in Computer Science, Statistics, Mathematics, or related field.

  • 1–3 years of experience using quantitative methods to solve analytical problems.

  • Proficiency in Python or R; familiarity with SQL and NoSQL databases.

  • Experience working with large datasets and statistical modeling techniques.

  • Strong communication, documentation, and problem-solving skills.


These are your benefits:

FUCHS offers a challenging and rewarding working environment where employees are encouraged to develop and grow as professionals. In this role, you will have the opportunity to work on projects that will expand your experience and challenge your abilities in the global marketplace. The position also offers an excellent compensation package and a comprehensive suite of benefits. Detailed benefit information can be found at this link: https://fuchs.com/us/en/benefits.


FUCHS Lubricants Co. is an equal employment opportunity (EEO)/AA employer and strongly supports diversity in the workplace (m/f/d/v).

Do you have any questions? Jordan Hallow (jordan.hallow@fuchs.com) will be more than happy to answer them!

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