Data Scientist -CDD (Maternity Cover)

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist -CDD (Maternity Cover) LU GICL Why this role matters In this role, you will help shape how data and AI contribute to smarter, more sustainable mobility solutions. As part of the Data Science & Analytics group, your work will support the development of tire intelligence services that enable better decision-making for fleet customers. You will collaborate closely with product, business, and technical teams to turn complex data into practical, scalable solutions. Your contributions will help bring innovative ideas from concept to real-world application, strengthening the organization's ability to deliver meaningful, data-driven impact. What will you do Partner with product owners and stakeholders to identify opportunities for data-driven and AI-based solutions Design and support the development of AI solutions from concept through to deployment Explore, clean, and model data to generate insights and support large-scale data science initiatives Collaborate with data scientists and engineers to scale solutions and maintain robust ML pipelines (CI/CD) Ensure solution quality through best practices such as testing, code reviews, and monitoring Coordinate research collaborations and contribute to project delivery, reporting, and knowledge sharing What we're looking for PhD or Master Degree in Data Science, Mathematics, Computer Science, or a related field Experience with machine learning and advanced analytics on large datasets Familiarity with deploying and maintaining ML models in cloud environments (e.g., AWS or Azure) Strong foundation in applied mathematics (statistics, linear algebra, optimization) Experience with data science and software engineering tools (e.g., Python, Spark, Git, CI/CD practices) Ability to collaborate across teams and

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