Data Scientist (VIN Pattern Engineer)

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
42K-60K Annually
Mid level
Information Technology • Software • Consulting
The Role
Analyze VINs and vehicle attributes to identify recurring patterns, investigate decoding errors, and develop reliable VIN decoding rules. Maintain existing patterns, use Python and SQL for data analysis and validation, deploy verified patterns to production, and monitor accuracy. The role involves working with large, complex, incomplete datasets and collaborating with VIN engineering, data engineering, and analytics teams.
Summary Generated by Built In

Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We specialise in building and modernising backend-heavy, integration-critical systems where speed, accuracy, and reliability are non-negotiable. With 100+ AI and custom software experts across engineering hubs in Lithuania and Poland, we embed ourselves directly into client operations — delivering custom software, automation, and AI where they drive the most value. Clients such as SEB, NordVPN, and CarVertical trust us with systems that serve millions of users globally.

We are looking for a highly analytical Data Scientist (VIN Pattern Engineer) to analyse Vehicle Identification Numbers (VINs) alongside known vehicle attributes, identify recurring patterns, and develop reliable VIN decoding rules.

In this role, you will work with large and sometimes unstructured datasets, combining analytical thinking with Python, SQL, and AI-assisted tools to improve the accuracy and reliability of VIN decoding.

Key Responsibilities
  • Analyse VIN and vehicle attribute data to identify recurring patterns and relationships.
  • Maintain existing patterns and investigate decoding errors, inconsistencies, and conflicts.
  • Use existing AI agents and develop Python and SQL scripts for data analysis and validation.
  • Deploy verified VIN patterns into production and monitor their accuracy.
  • Collaborate with another VIN Pattern Engineer and the Data Engineering and Analytics teams.

Requirements
  • 4+ years of experience in a similar data-focused role, such as Data Scientist, Data Analyst, Analytics Engineer, or Data Quality Engineer.
  • Hands-on experience with Python and SQL.
  • Ability to work effectively with large, complex, and sometimes incomplete datasets.
  • Attention to detail and a structured approach to data analysis.
  • Familiarity with AI agents and AI-assisted data analysis.
  • Good communication and teamwork skills.

Benefits
  • Diverse and technically challenging projects.
  • Training budget for professional and personal growth.
  • Flexible working hours.
  • Flexible schedule and an Agile/SCRUM environment.
  • Technical equipment that you can choose.
  • Salary range - 4000 EUR to 6000 EUR monthly (gross).

Skills Required

  • 4+ years of experience in a similar data-focused role, such as Data Scientist, Data Analyst, Analytics Engineer, or Data Quality Engineer
  • Hands-on experience with Python and SQL
  • Ability to work effectively with large, complex, and sometimes incomplete datasets
  • Attention to detail and a structured approach to data analysis
  • Familiarity with AI agents and AI-assisted data analysis
  • Good communication and teamwork skills
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The Company
HQ: Vilnius, Vilniaus
75 Employees

What We Do

SOFTETA is an international full-cycle software development and consultancy partner. We implement 20 years of joint experience in IT and kick-off projects faster that probably anyone else on the market in order to save our clients time & money. In Softeta you get fast, cutting-edge service and effective, easy communication.

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