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Data Scientist

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Job Details

Role: Data Scientist

Location: Greensboro, NC 27409
Job Type: Full-time

About Volvo Financial Services

Company Overview:
Volvo Financial Services (VFS) is the captive finance arm of the Volvo Group, dedicated to providing financial services and solutions that support the needs of Volvo Group customers. VFS is headquartered in Gothenburg, Sweden, and serves customers and dealers in over 50 markets.

Why Join Us:
At VFS, we believe in shaping sustainable transport and infrastructure solutions for the future. We offer an inclusive and diverse working environment where you can bring your authentic self to work and thrive. We are committed to innovation and support the personal development and growth of our employees.

What You Will Do

As a Data Scientist, you will be responsible for acquiring, synthesizing, and applying data to build AI tools that automate, optimize, and transform core business processes. You will work closely with colleagues across Volvo Group to develop custom data models, predictive models, and advanced visualizations that improve business performance. Key responsibilities include:

  • Collaboration: Work with colleagues across all functional areas to identify and refine data science and AI business use cases.
  • Data Management: Reconcile KPIs developed in the Azure Data Lake to global reporting and establish high-quality data sets.
  • AI Tool Development: Build and integrate AI tools into business processes, ensuring effective use and engagement.
  • Model Development: Develop custom data models, predictive models, and advanced visualizations to optimize customer experiences and business processes.
  • Training Initiatives: Support citizen development of AI toolkits and coordinate AI training initiatives across markets and regions.

Qualifications

Minimum Qualifications:

  • BS/BA in Computer Science, Information Systems, Engineering, Statistics, or a related field.
  • Up to 5 years of experience in data science, business analytics, informatics, or data engineering.
  • Strong problem-solving skills and a can-do attitude.
  • Strong understanding of statistical techniques and experience applying them to business processes.
  • Expert knowledge of unsupervised and supervised machine learning techniques.
  • Proficiency in SQL, data warehousing technology, and familiarity with Databricks, Java, Scala, and Python.
  • Experience with cloud providers such as Azure, AWS, and Salesforce.
  • In-depth knowledge of 3NF and Star Schemas.
  • Experience with visualization tools such as Power BI, Tableau, or Qlik Sense.
  • Strong organizational ability and capacity to prioritize tasks in a fast-paced environment.
  • Excellent communication skills for coordinating across teams.

Preferred Qualifications:

  • Proven experience in developing and coordinating AI training initiatives.
  • Ability to inspire and engage stakeholders.
  • Cross-functional collaboration experience.

What's In It For You?

We offer a competitive compensation and benefits package, along with a diverse working environment that promotes care and inclusion. At VFS, we support your personal development and growth, ensuring you achieve your career aspirations. We are an on-site business that values flexibility and is committed to providing a supportive environment where you can thrive.

Commitment to Diversity & Inclusion

At Volvo Financial Services, we are dedicated to creating an inclusive space where every employee can bring their full authentic self to work. We believe in providing a safe and supportive environment, free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Ready for the Next Move?

If you are ready to make a real impact in your career, Volvo Financial Services is where you want to be. We look forward to meeting you and welcoming you to our team!

Note: We value your data privacy and do not accept applications via mail.