Lead Data Scientist

Theinsidejob; Germany (OH); On-site; USD 140,000 - 210,000; Full time

Job summary

Theinsidejob is seeking a senior data science leader to provide technical guidance across multiple ML initiatives. You will shape modelling approaches, align solutions with business priorities, and drive production readiness and scalability.

You will mentor teams, enforce best practices, and partner with architecture and engineering to ensure robust, end-to-end ML deployments while communicating complex decisions clearly to stakeholders.

Qualifications

• Extensive experience delivering production-grade data science solutions.
• Senior technical lead experience with reviews or sign-off.
• Strong ability to deploy ML solutions on cloud platforms (GCP/AWS/Azure).
• Advanced Python and SQL skills.
• Deep knowledge of ML techniques: regression, classification, clustering, time-series.
• Experience in deployment and lifecycle management of ML models.
• Understanding of data warehousing and modern data architecture.
• Excellent ability to communicate technical decisions to non-technical stakeholders.

Responsibilities

• Act as a technical lead for data science across multiple initiatives.
• Translate priority use cases into production-ready DS solutions.
• Provide hands-on leadership across the DS lifecycle from framing to deployment.
• Define and embed technical standards for experimentation and reproducibility.
• Review designs and provide clear technical direction and sign-off.
• Mentor data scientists on complex challenges.
• Collaborate with Data Architecture, ML & Data Engineering, and BI teams.
• Evaluate new techniques and adoption strategies.
• Communicate technical assumptions, risks, and trade-offs to stakeholders.

Skills

Production ML

Senior lead

Python

SQL

Cloud platforms

ML techniques

Deployment lifecycle

Data warehousing

Communication

Job description

This role exists to provide technical leadership and assurance across data science, ensuring machine learning solutions are designed, built, and operated to a high and consistent technical standard. The role focuses on enabling scalable, reliable delivery of data science solutions aligned to business priorities defined elsewhere.

WHAT YOU'LL BE DOING:

• Acting as a technical lead for data science, guiding modelling approach and solution design across multiple initiatives.
• Working closely with business stakeholders to translate priority use cases into technically sound, production‑ready data science solutions.
• Providing hands‑ontechnical leadership across the data science lifecycle, from problem framing and modelling through deployment and ongoingoptimisation.
• Defining and embedding technical standards and best practices for experimentation, validation, documentation, and reproducibility.
• Reviewing and challenging technical designs and implementations, providing clear technical direction and sign‑off.
• Supporting and mentoring data scientists on complex technical challenges.
• Partnering with Data Architecture, ML & Data Engineering, and BI teams to ensure solutions are scalable, robust, and production‑ready.
• Evaluating new techniques and tools, guiding their pragmatic adoption.
• Communicating technical assumptions, risks, and trade‑offsclearly to technical andnon‑technicalstakeholders.

Accountable for:

• The technical quality and consistency of data science solutions delivered within assigned domains.
• Ensuring solutions meet agreed performance, scalability, reliability, and maintainability standards.
• Consistent application of data science standards, reducing delivery risk and technical debt.
• Providing ongoing technical assurance that solutionsremainfit for production as usage and complexity increase.
• Maintaining strong technical partnerships with stakeholders as a trusted advisor.
• Raising the overall technical maturity of data science within the organisation.

WHAT YOU'LL NEED:

Essential Criteria:

• Extensive experience delivering production‑grade, commercially impactful data science solutions, gained in a data science or machine learning roles.
• Proven experience operating as a senior technical lead, reviewer, or technical sign‑offauthority.
• Strong experience building ML solutions on cloud platforms (GCP, AWS, or Azure).
• Advanced expertise in Python and SQL.
• Deep applied knowledge of machine learning techniques, including regression, classification, clustering, and time‑seriesforecasting.
• Experience supporting production deployment and lifecycle management of ML models.
• Strong understanding of data warehousing, data modelling, and modern data architecture.
• Excellent communication skills, able to explain technical decisions clearly to non‑technicalstakeholders.

PreferredSkills:

• Experience with recommender systems orpersonalisationuse cases.
• Familiarity with MLOps concepts and production ML practices.
• Demonstrated ability to raise technical standards through influence rather than authority.
• Experience in an e‑commerceor retail environment.

CLOSING DATE: 14th August