Data Scientist

Reposted Yesterday
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Hiring Remotely in New South Wales, AUS
Remote
Mid level
Automotive • Hardware • Logistics
The Role
The Data Scientist supports the Strategic Pricing Manager by transforming complex datasets into insights and scalable pricing solutions using advanced analytics and machine learning techniques.
Summary Generated by Built In

The role is to support the Strategic Pricing Manager and partner with Sales, Product, Marketing, Finance, and IT to transform complex datasets into meaningful insights and scalable pricing solutions.

This is achieved by leveraging advanced data analytics, statistical modelling, and machine learning techniques to generate actionable insights that drive commercial, operational, and strategic decision-making within the pricing function.

The role:

  • Use tools such as SQL, Python, Power BI, and other analytics platforms to extract, analyse, and interpret large datasets .
  • Identify trends, patterns, and opportunities to improve pricing, sales performance, customer segmentation, and operational efficiency .
  • Develop, validate, and deploy predictive models including forecasting, segmentation, and optimisation models .
  • Collaborate with IT and Data Engineering teams to design scalable data pipelines and automate analytical processes .
  • Design and maintain dashboards and reporting suites that provide performance visibility and key business metrics .
  • Support strategic initiatives through advanced modelling, scenario analysis, and clear communication of technical insights to stakeholders .

Who are you?

  • Demonstrated experience in Data Science, Advanced Analytics, or Statistical Modelling .
  • University degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related discipline .
  • Strong knowledge of statistical methods, predictive modelling, and machine learning techniques .
  • Advanced proficiency in Python (e.g., pandas, scikit-learn), SQL, and Power BI or similar BI tools .
  • Experience working with structured and unstructured data .
  • Proven ability to collaborate with business stakeholders and communicate insights effectively .

About Motion

At Motion, our core product lines embrace bearings, power transmission, sealing, fasteners, driveshafts, drives and motors, belting, fluid power, engineering services, lifting and safety equipment, tools, and maintenance products . With stocked lines exceeding 350,000, we have a presence in almost all industrial and trade sectors from agriculture and automotive to mining and transport in Australia .

We operate across Australia, New Zealand, Indonesia, and Singapore and are part of a larger group, GPC, where opportunities are endless for a motivated individual.

We value relationships and foster trusted partnerships across all levels of our business. We focus on continuous improvement and sustainable growth, driven by long-term investment in our people, systems, and processes .

So, if you are interested in joining our group, don’t wait — apply now and let us help you empower your career with us!

MOTION is an equal opportunity employer.

You must be either an Australian Citizen or a holder of an Australian Permanent Residency Visa to be eligible to apply for this position .

If this sounds like the opportunity for you, click "Apply for this job" and submit both your resume and cover letter. Please note only short-listed candidates will be contacted .

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.

Skills Required

  • Demonstrated experience in Data Science, Advanced Analytics, or Statistical Modelling
  • University degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related discipline
  • Strong knowledge of statistical methods, predictive modelling, and machine learning techniques.
  • Advanced proficiency in Python, SQL, and Power BI or similar BI tools
  • Experience working with structured and unstructured data
  • Proven ability to collaborate with business stakeholders and communicate insights effectively

Genuine Parts Company Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Genuine Parts Company and has not been reviewed or approved by Genuine Parts Company.

  • Retirement Support Retirement programs include a 401(k) with company match and an Employee Stock Purchase Plan, with profit sharing and pension plans also mentioned. These elements indicate strong long-term financial support alongside ownership opportunities.
  • Healthcare Strength Benefits encompass medical, dental, and vision coverage with HSA and FSA options plus income-protection coverages like life, AD&D, and disability. This breadth suggests a robust core health and protection offering.
  • Parental & Family Support Paid maternity and paternity leave are provided in addition to short‑term disability, and an Employee Assistance Program supports families with counseling and life tools. These programs reinforce family support alongside standard PTO.

Genuine Parts Company Insights

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The Company
Marietta, GA
4,400 Employees
Year Founded: 1928

What We Do

Genuine Parts Company (GPC), founded in 1928, is a global service organization engaged in the distribution of automotive and industrial replacement parts. We serve hundreds of thousands of customers from a network of more than 10,000 locations in 14 countries and have approximately 50,000 employees.

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