Manager, Data Science
Cognite
About the role
About Cognite
Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest‑impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low‑code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.
What Cognite is Relentless to Achieve
- We thrive in challenges.
- We challenge assumptions.
- We execute with speed and ownership.
- If you view obstacles as signals to step forward – not step back – you’ll feel at home here.
Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
Role Overview
Data Science (DS) Leader – Value Delivery Europe
- Own and elevate the Data Science capability across the region.
- Build a high‑performing team of Data Scientists who deliver scalable, production‑ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
- Responsible for professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data‑driven workflows.
- Ensure DS engagements are repeatable, efficient, customer‑centric, and aligned with Cognite’s delivery standards.
- This is a capability‑building role—billable or customer‑facing execution limited to 20%, allowing focus on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
Impact You’ll Bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region.
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing.
- Ensure scalable, maintainable, and well‑documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value‑oriented outcomes.
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer‑centric resolution.
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI‑enabled workflows, Dune‑based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
- Clear problem framing
- Structured exploration
- Robust modelling & validation
- Well‑defined acceptance criteria
- Telemetry, monitoring, and performance checks
- Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
- Statistics, machine learning, optimisation
- Deep learning, generative models, agentic frameworks
- Industrial domain context
- Dune workflows and UI‑based logic
- Communication, consulting, and delivery excellence
- Run DS guilds, brown bags, technical shows‑and‑tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross‑functional alignment on best practices for modelling, data readiness, and solution reliability.
Required Qualifications
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles.
- Proven track record delivering data‑driven solutions in production—preferably in industrial, asset‑heavy, or mission‑critical environments.
- Experience leading technical teams or DS communities.
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent‑based solutions.
- Familiarity with full‑stack DS:
- Backend logic (Python/SQL/pipelines)
- UI/workflow experience (Dune, low‑code/no‑code, visual interfaces)
- Excellent communication skills—able to explain complex technical concepts to non‑technical stakeholders.
- High delivery orientation with strong problem‑solving and analytical thinking.
Mindset
- Passionate about growing people, uplifting technical depth, and maturing DS practices.
- Curious, experimental, and willing to adopt new frameworks, including Dune‑based development.
- Collaborative, structured, and committed to customer value and operational excellence.
- Thrives in high‑growth, rapidly evolving environments.
Perks & Benefits
- Join an organization of 60 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝.
- A highly modern and fun working environment with sublime culture across the organization; follow us on Instagram @cognitedata 📷 to know more.
- Flat structure with direct access to decision‑makers.
- Opportunity to work with and learn from some of the best people on the most ambitious projects across industries, using cutting‑edge technology.
- Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
- Access to private health services with Cognite Care.
- Subsidized lunch at the canteen delivered by the chefs at Fornebuporten (Aker Tech House).
- Exclusive Cognite coffee bar ☕ with friendly baristas, offering coffee, tea, smoothies, and creative concoctions.
- Comprehensive mental‑ and physical‑health offering, including a free membership to our fully‑staffed on‑site gym.
Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
Requirements
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS: backend logic (Python/SQL/pipelines), UI/workflow experience (Dune, low-code/no-code, visual interfaces)
- Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Responsibilities
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function
- Ensure DS teams follow disciplined delivery practices including: clear problem framing, structured exploration, robust modelling & validation, well-defined acceptance criteria, telemetry, monitoring, and performance checks
- Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness
- Track DS contribution to delivery health, model quality, and customer outcomes
- Lead, mentor, and develop the Data Science community across Value Delivery Europe
- Define the DS competency framework and build learning pathways covering: statistics, machine learning, optimisation, deep learning, generative models, agentic frameworks, industrial domain context, Dune workflows and UI-based logic, communication, consulting, and delivery excellence
- Run DS guilds, brown bags, technical shows-and-tells, and practice reviews
- Recruit top DS talent, shape onboarding, and grow internal leaders
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
Benefits
Skills
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