Mid Level Data Scientist

Company Intelligence

Cognite is an Industrial AI company founded in 2016, headquartered in Oslo, Norway, until recently relocating its global headquarters to Tempe, Arizona, on December 3, 2025, to anchor US operations amid growth in North American tech, manufacturing, and semiconductor hubs. With 501-1000 employees, it holds unicorn status as a leader in industrial automation, providing AI and data platforms for energy, manufacturing, power & renewables, oil & gas, and utilities to make operations safer, sustainable, and profitable. Recent expansions include offices in Houston and Austin (Texas), Phoenix (USA), Tokyo (Japan), and Bengaluru (India); it supports remote work, as seen in this US-based role. Core values—Impact (result-oriented), Ownership (inclusivity and responsibility), Relentless (innovation-focused, viewing setbacks as growth)—drive a collaborative, cross-functional culture with data scientists, engineers, and architects tackling real-world industrial challenges. No explicit mission statement beyond enabling AI for asset-heavy industries, but strategic direction emphasizes scalable data models (e.g., NEAT 1.0 tool for faster, AI-ready modeling) and customer value in sensor data management.

Program Deep Dive

This Mid-Level Data Scientist role is not explicitly an internship or graduate program but a full-time position within Cognite's Global Delivery organization's EMEA delivery team, suited for recent grads (18-25) with mid-level skills in industrial sectors like oil & gas, manufacturing, and power/utilities. Structure involves cross-functional teams (data scientists, engineers, architects, project managers) for end-to-end projects: use case workshops, data cleansing/exploratory analysis, Python-based ML/physical model implementation/deployment on Cognite's platform. Daily responsibilities include developing scalable customer solutions, participating in SME workshops to map problems to data, and operationalizing models in model-hosting environments. Learning opportunities arise from global, domain-expert teams and tools like NEAT for data modeling. Mentorship implied via collaborative teams; no formal training detailed. Career progression likely to senior data science or architecture roles, given emphasis on ownership and relentless innovation in a growing unicorn.

Application Success Guide

Apply via https://www.remoterocketship.com/jobs/mid-level-data-scientist-cognite (no deadlines specified; act fast as remote US roles fill quickly).[web:0] Requirements: mid-level proficiency in Python for ML/models, data analysis/cleansing, industrial domain knowledge (oil/gas, manufacturing, utilities); experience with scalable deployments preferred. Step-by-step process:

1. Tailor resume to highlight Python/ML projects and industrial data experience.
2. Submit via URL with cover letter linking skills to Cognite's platform.
3. Expect technical screening, then interviews with data team. Common questions: "Describe a ML model you deployed for industrial data" or "How would you handle billions of sensor data points?"—focus on Cognite's Data Fusion platform. No assessment centers mentioned; likely case studies on use case workshops or data modeling (e.g., simulate NEAT validators). Standout candidates demonstrate industrial AI impact (e.g., production optimization) via GitHub portfolios or past projects.

Insider Tips

Cognite values relentless innovation and ownership—show this by discussing setbacks turned into wins, not just successes. Prioritize technical skills (Python ML, data cleansing, scalable models) over soft skills, but highlight collaboration in cross-functional teams. Demonstrate knowledge of industrial data challenges (e.g., sensor overload in manufacturing/semiconductors) and Cognite tools like Data Fusion/NEAT. Questions to ask: "How does the Tempe HQ integrate with global delivery for US manufacturing clients?" or "What NEAT 1.0 use cases are live in oil/gas?" to signal research. Avoid red flags: generic applications ignoring industrial focus, weak Python evidence, or no domain examples—tailor to sectors like Arizona's semiconductor boom.

Practical Information

No salary/stipend listed for this mid-level role; US remote data scientists at similar unicorns (501-1000 employees) range $120K-$160K base, plus equity/bonuses—research Glassdoor for Cognite specifics. Benefits not detailed, but expect standard tech perks (health, remote flexibility) in a growth-stage firm. Fully remote in US; start date flexible, duration ongoing (not fixed-term program).[web:0] Networking via LinkedIn (follow Cognite), alumni in global offices, or Tempe HQ events for manufacturing/AI connections.