{"id":4052546,"url":"https://alion.io/job/cognite-data-scientist-2","title":"Data Scientist","company":{"id":4475,"name":"Cognite","domain":"cognite.com","url":"https://alion.io/company/cognite","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":8,"ghost_share":0,"stale_share":0.875,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico City, Mexico","Monterrey, Mexico","Tijuana, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-11-11T00:38:43Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T07:09:03Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"What Cognite is:Relentlessto achieve\nCognite 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.\nWe 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. \nOur Moonshot 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.\nHow you’ll demonstrateOwnership\nAt 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.\nDo 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!\nThe 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.\nWe are proactively building out our talent pool in Mexico with the intention to have new hires start in Q1 2027\nWho You Are\nFully bilingual both verbal and written in English and Spanish is required\n 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\nBachelor’s degree in Computer Science, Engineering, Data Science, Data Analytics, Statistics, Applied Mathematics, or a related quantitative field. \n1-3 years of relevant work experience as a data scientist (preferably within related industry)\nProficient experience with Python, SQL and AI IDEs such as Claude Code, Cursor. Experience with efficient usage of AI tools is a plus\nExperience with machine learning methods and techniques, statistics and/or optimisation\nExperience with Git\nExperience working customer faced, with external customers \nEnjoy working in cross-functional teams \nEnjoy challenges and dare to set ambitious goals that drive innovation\nHumility to ask for help and enjoy sharing knowledge with others\n\nA typical day as a Cogniter will contain the following tasks & responsibilities\nDevelop 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\nParticipate in and contribute to intensive use case generation workshops with subject matter experts to understand the problem and how it maps to the data\nPerform data cleansing and exploratory data analysis\nImplement physical models / machine learning models in Python and deploy to our model hosting environment\nApply GenAI techniques to enhance data-driven decision-making in customer use cases \nDevelop web applications built on Cognite Data Fusion with the help of AI agents\nUtilize and contribute to solution templates and best practices within the Data Science team\nCollaborate 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\nSupport customers and partners in conducting data science tasks with Cognite products\nLearn more about us\nImpact 2025\nCognite's Industrial AI: Moonshot\nWe’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.\n Equal Opportunity\nCognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. 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