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Data Scientist

Role overview

Qualifications

  • Bachelor's degree in Mathematics, Computer Science, Physics, Economics, Engineering, Statistics, Operations Research or related field
  • Minimum seven years of related experience or equivalent combination
  • Proficient in machine learning, predictive analytics, and data modeling
  • Strong communication and teamwork skills with ability to translate business problems into solutions

Responsibilities

  • Analyzes large amounts of information to discover trends and patterns
  • Designs machine learning models for predictive analytics
  • Presents information using data visualization techniques
  • Undertakes preprocessing of structured and unstructured data

About the company

Genuine Parts Company logo

Genuine Parts Company

Automotive Parts & Components

Founded in 1928, Genuine Parts Company is a global service organization engaged in the distribution of automotive and industrial replacement parts. The company's Automotive Parts Group distributes automotive replacement parts in the U.S., Canada, Mexico, Australasia, France, the U.K., Ireland, Germany, Poland, the Netherlands, Belgium, Spain and Portugal. The company's Industrial Parts Group distributes industrial replacement parts in the U.S., Canada, Mexico and Australasia. In total, the company serves its global customers from an extensive network of more than 10,000 locations in 17 countries and has approximately 58,000 employees. Further information is available at www.genpt.com.

Company details

Company typeXLarge
IndustryAutomotive Parts & Components
Company size10001

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Job description

SUMMARY:
Under limited supervision, the Data Scientist works closely with business stakeholders to understand how data can be used to achieve their goals. Designs data modeling processes, creates algorithms and predictive models and helps analyze the data and shares insights. Critical thinking and problem-solving skills are essential for interpreting data. Must have a passion for machine-learning and research. This position will be tasked with helping the company analyze trends to make better data-based decisions.


JOB DUTIES:
• Analyzes large amounts of information to discover trends and patterns.
• Designs machine learning models for predictive analytics.
• Presents information using data visualization techniques.
• Undertakes preprocessing of structured and unstructured data.
• Identifies valuable data sources and automates collection processes.
• Performs other duties as assigned.

EDUCATION & EXPERIENCE:
Typically requires a bachelor's degree in Mathematics, Computer Science, Physics, Economics, Engineering, Statistics, Opersations Research, Quantitative Social Science or a related area and at least seven (7) years of related experience or equivalent combination.

KNOWLEDGE, SKILLS, ABILITIES:
• Basic knowledge of software development principles and architecture.
• Excellent verbal and written communication skills.
• Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods.
• Must be a team player with excellent analytical and problem solving skills.

COMPANY INFORMATION:
Motion offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition reimbursement, vacation, sick, and holiday pay.

Not the right fit?  Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest!

GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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