---
title: 'Data Scientist at Cognite - AI for Industry'
canonical: 'https://feeny.ai/job/data-scientist-cognite-ai-for-industry-mexico-city-ciudad-de-mexico-n5kc9zct4cqc'
type: 'job'
last_seen: '2026-11-12'
---

# Data Scientist at Cognite - AI for Industry

- **Company:** Cognite - AI for Industry
- **Location:** Mexico City Ciudad de México, Mexico / Monterrey Nuevo León, Mexico / Tijuana Baja California, Mexico
- **Posted:** 2026-11-11
- **Last confirmed live:** 2026-11-12
- **Apply:** https://job-boards.eu.greenhouse.io/cognite/jobs/5032904101

## Job description

What Cognite is: Relentless to achieve

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve 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.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.

Our [Moonshot](https://www.cognite.com/en/company/newsroom/cognite-s-industrial-ai-momentum-soars-driving-ecosystem-impact-at-global-conference) is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.

## How you’ll demonstrate Ownership

At Cognite, the Global Value Delivery team leads software implementation, deployment & adoption for clients, and helps them accelerate their digital transformation efforts with Cognite’s product suite. We consist of people with diverse and high-performance backgrounds, ranging from Management Consulting, to Industry and Software development. We seek to continuously improve how we work with our clients, how we work together as a team, and how we develop as individuals.

Do you see how data can be used, modeled and visualized in new ways to improve decisions in industrial engineering, but you experience that the tools and data availability is insufficient to create impact? If you want to change that, and take part in forming what the future of the industry will look like you should join our Cognite and become a part of the team responsible for delivering Cognite’s cutting edge industry solutions to our customers!

The data science team at Cognite is responsible for understanding our customers’ business goals and challenges, scoping and building solutions to address these, and growing Cognite’s impact within our customers’ digital transformation efforts. As a Data Scientist in the team, you will work in cross-functional pods of other data scientists, data engineers, solution architects and project managers to configure, deploy, and operationalize digital solutions across the oil and gas, renewables/sustainability, power & utilities, and manufacturing industries. You will work with the customer to understand their desired outcome, conduct discovery workshops, and advise on possible approaches and potential pitfalls. You will build solutions based on physics models and/or using machine learning techniques, build dashboards for visualizing the solutions, and scale and deploy solutions in production using Cognite’s core capabilities. The position will give you a unique opportunity to work with and learn from people with various backgrounds in business, software, and industry.

We are proactively building out our talent pool in Mexico with the intention to have new hires start in Q1 2027

## Who You Are

- Fully bilingual both verbal and written in English and Spanish is required
- 2+ years industry experience (or an academic background) in the oil and gas or manufacturing domain building analytical solutions (data-driven and/or simulations) for production optimization and predictive maintenance, such as general well monitoring, well event predictions (risk identification), production planning, flow assurance, etc. is required
- Bachelor’s degree in Computer Science, Engineering, Data Science, Data Analytics, Statistics, Applied Mathematics, or a related quantitative field.
- 1-3 years of relevant work experience as a data scientist (preferably within related industry)
- Proficient experience with Python, SQL and AI IDEs such as Claude Code, Cursor. Experience with efficient usage of AI tools is a plus
- Experience with machine learning methods and techniques, statistics and/or optimisation
- Experience with Git
- Experience working customer faced, with external customers
- Enjoy working in cross-functional teams
- Enjoy challenges and dare to set ambitious goals that drive innovation
- Humility to ask for help and enjoy sharing knowledge with others

A typical day as a Cogniter will contain the following tasks & responsibilities

- Develop and deploy scalable solutions for customer use cases from Oil and Gas, Energy, Manufacturing, Pharma, Life-Sciences, Power & Utilities industries using Cognite’s core capabilities
- Participate in and contribute to intensive use case generation workshops with subject matter experts to understand the problem and how it maps to the data
- Perform data cleansing and exploratory data analysis
- Implement physical models / machine learning models in Python and deploy to our model hosting environment
- Apply GenAI techniques to enhance data-driven decision-making in customer use cases
- Develop web applications built on Cognite Data Fusion with the help of AI agents
- Utilize and contribute to solution templates and best practices within the Data Science team
- Collaborate with data engineers, project managers and solution architects on project deliveries to enable our customers to achieve the full potential of our industrial DataOps platform
- Support customers and partners in conducting data science tasks with Cognite products

Learn more about us

- [Impact 2025](https://www.cognite.com/en/resources/blog/key-highlights-from-impact-2025)
- [Cognite's Industrial AI: Moonshot](https://www.cognite.com/en/company/newsroom/cognite-s-industrial-ai-momentum-soars-driving-ecosystem-impact-at-global-conference)
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

## 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.

## About Cognite - AI for Industry

## Company Overview
- **One-liner**: Cognite delivers industrial AI software that unifies siloed operational data to help energy, process manufacturing, and other industrial companies improve production efficiency and scale AI solutions.
- **Entity Type**: Private (backed by Aker ASA, total funding of $338.9M)
- **Headquarters**: Tempe, Arizona, United States (global HQ; also Lysaker, Norway)
- **Founded**: 2016
- **Founders**: Not publicly available (co-founded by a team with industrial and tech backgrounds)

## Core Business
- **Primary industries**: Industrial AI, Industrial DataOps, Energy (oil & gas, renewables), Process Manufacturing, Power & Utilities
- **Target customers**: B2B – enterprise industrial companies (energy, manufacturing, chemicals, etc.)
- **Mission or purpose**: “Power a high-tech, sustainable, and profitable industrial future” — enabling industrial teams to move faster, work safer, and achieve more with AI.

## Products & Services
- **Cognite Data Fusion®**: Open Industrial DataOps platform that contextualizes operational, engineering, and IT data into a real-time Industrial Knowledge Graph, making data accessible for AI and analytics. (SaaS/platform)
- **Cognite Atlas AI™**: Low-code industrial AI agent workbench for building and deploying agentic AI to automate complex operational tasks. (AI agent platform)
- **Cognite Flows™**: Tool for building and scaling production-ready industrial workflows 100x faster. (Workflow automation)
- **Composable reference applications**: Pre-built solutions for production optimization, smart maintenance, workforce digitalization, and sustainability.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding $338.9M (5 rounds); Annual revenue SEK 790.7M (approx. $75M based on current exchange rates, but exact USD not given)
- **Notable Investors/Partners**: Parent company Aker ASA; partners include Microsoft, Aker BP, Sopra Steria, Omny, Aize, and others. Recognized as a Leader in IDC MarketScape for Industrial DataOps Platforms.
- **Growth Signals**: 663 employees (+20.9% YoY); 102 active job postings (+67.2% YoY); LinkedIn followers 103,713 (+65.8% yearly); committed to delivering $100B in customer value by 2035; customers report 30-80% reduction in maintenance time and 4-month deployment cycles.

## Competitive Advantages
- **Industrial domain expertise**: Deep specialization in heavy industry (energy, process manufacturing) with a platform built for complex OT/IT data integration.
- **Open ecosystem**: Works with any cloud, any data source, any LLM, enabling flexible partnerships and off-the-shelf integrations.
- **Low-code AI agents**: Cognite Atlas AI allows domain experts to build AI agents without deep coding, speeding adoption.
- **Proven ROI**: Customers report 10x productivity improvements, rapid scaling (e.g., from pilot to 9 facilities in months), and significant downtime reduction.

## Strategic Focus
- **Scaling industrial AI**: Accelerate time-to-value with pre-built solutions, AI agents, and use-case best practices.
- **Global expansion**: Growing presence in Americas (Tempe, Austin, Houston), Europe (Oslo), Asia (Tokyo, Bengaluru).
- **Customer value commitment**: Ambitious goal of $100B in customer value by 2035.
- **Partner ecosystem**: Deepening integrations with cloud providers, system integrators, and industrial software vendors.

## Why Work Here
- **Culture**: Values of Relentless (innovation, learning from setbacks), Ownership (shared responsibility, inclusivity), and Impact (result-oriented, adding value to team and customers). Described as “smart, passionate builders, and problem solvers.”
- **Remote/Hybrid/Office**: Hybrid model with offices in Tempe, Austin, Houston, Oslo, Tokyo, Bengaluru. Some roles listed as “USA (remote)” indicating flexibility for certain positions.
- **Diversity**: Employees from 60+ countries; global team of engineers, product managers, domain experts.
- **Perks & Growth**: Opportunity to work on “biggest impact on our planet” — industrial AI at scale; strong investment in R&D and career development; fast-growing company with 100+ open roles.
- **Engineering culture**: Emphasis on AI, data engineering, machine learning, and full-stack development; roles like Senior AI Engineer, ML Engineer, Data Engineer, Applied AI Engineer.

## Sources
1. [cognite.com](https://www.cognite.com/en)
2. [cognite.com](https://www.cognite.com/en/company/about-us-cognite)
3. [cognite.com](https://www.cognite.com/en/company/careers)
4. [linkedin.com](https://www.linkedin.com/company/cognitedata)
5. [cbinsights.com](https://www.cbinsights.com/company/cognite)

## Other roles at Cognite - AI for Industry

- [Data Engineer](https://feeny.ai/job/data-engineer-cognite-ai-for-industry-mexico-city-ciudad-de-mexico-tvtv7aw8zcbb) — Mexico City Ciudad de México, Mexico / Monterrey Nuevo León, Mexico / Tijuana Baja California, Mexico
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-cognite-ai-for-industry-bengaluru-09tka7vhngh4) — Bengaluru, India
- [Software Engineer](https://feeny.ai/job/software-engineer-cognite-ai-for-industry-bengaluru-ha6dj4308dr9) — Bengaluru, India
- [Engineering Manager, Atlas AI](https://feeny.ai/job/engineering-manager-atlas-ai-cognite-ai-for-industry-phoenix-z120nn4w483x) — Phoenix, AZ
- [Senior Solution Architect](https://feeny.ai/job/senior-solution-architect-cognite-ai-for-industry-mexico-city-ciudad-de-mexico-p2r8zr16fdwr) — Mexico City Ciudad de México, Mexico / Monterrey Nuevo León, Mexico / Tijuana Baja California, Mexico
- [Senior Solution Architect](https://feeny.ai/job/senior-solution-architect-cognite-ai-for-industry-oslo-nagsfasyvn5p) — Oslo, Norway
- [Senior Solution Architect](https://feeny.ai/job/senior-solution-architect-cognite-ai-for-industry-houston-pcym041j25fq) — Houston, TX
- [Senior Software Engineer - Backend, Knowledge Graph](https://feeny.ai/job/senior-software-engineer-backend-knowledge-graph-cognite-ai-for-industry-oslo-2n5kq6e2qkny) — Oslo, Norway
- [Cognite Academy Engineer](https://feeny.ai/job/cognite-academy-engineer-cognite-ai-for-industry-phoenix-4pf24w5fyayh) — Phoenix, AZ
- [Product Manager](https://feeny.ai/job/product-manager-cognite-ai-for-industry-oslo-yn811jndsmce) — Oslo, Norway