Full-Time

Senior Data Scientist

Posted on 3/21/2025

Cognite

Cognite

501-1,000 employees

Industrial data management for asset-heavy industries

No salary listed

Senior

Bengaluru, Karnataka, India

Hybrid work environment globally; requires some in-office presence.

Category
Data Science
Data & Analytics
Required Skills
Scikit-learn
Python
Grafana
Git
Keras
Machine Learning
Tableau
Pandas
NumPy
Requirements
  • 5+ years of full-time work experience as a data scientist (preferably within related industry), or data scientist with domain expertise in Oil and Gas or Maintenance or Manufacturing
  • 1+ years experience serving as a domain expert on internal or customer projects
  • Proficient with Python and its data ecosystem (pandas, numpy), ML libraries (scikit-learn, keras, etc)
  • Experience in data visualization using PowerBI, Grafana, Tableau, or web development frameworks like Plotly Dash, Streamlit, etc.
  • Promoting good software development practices including automated tests and documentation
  • Experience with Version control (git, for example)
  • Experience contributing code to a large software project
  • Pragmatic, can balance short term and long term tradeoffs
  • Realistic and credible advisor on machine learning
  • Excellent communicator internally and with customers; Managing expectations of technical stakeholders at the customer.
  • Mentoring and quality assurance of juniors’ work
  • Cloud experience, such as building streaming calculations & models as serverless functions
  • Deployment to production using provided infrastructure practices
  • A track record of working in diverse industries
  • Ready to stay up to date with latest developments in GenAI and using GenAI services to build use cases for customers.
Responsibilities
  • 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.
  • Work with the customer to understand their desired outcome, conduct discovery workshops, and advise on possible approaches and potential pitfalls.
  • Build solutions based on physics models and/or using machine learning techniques.
  • Build dashboards for visualizing the solutions.
  • Scale and deploy solutions in production using Cognite’s core capabilities.

Cognite specializes in managing industrial data and facilitating digital transformation for industries that rely heavily on physical assets, such as oil and gas, power and utilities, and manufacturing. Its main product, Cognite Data Fusion, integrates data from various sources and organizes it in a way that adds meaning, making it easier for businesses to analyze and make informed decisions. Unlike many competitors, Cognite operates on a software-as-a-service (SaaS) model, allowing clients to subscribe to its software for ongoing access and updates rather than making a one-time purchase. This model not only provides a consistent revenue stream but also enables Cognite to continuously improve its offerings. The company's goal is to help asset-heavy industries optimize their operations through effective data management and digital solutions.

Company Size

501-1,000

Company Stage

Series B

Total Funding

$225.3M

Headquarters

Bærum, Norway

Founded

2016

Simplify Jobs

Simplify's Take

What believers are saying

  • Cognite's expansion into India enhances its global footprint and market reach.
  • The rise of digital twins offers new opportunities for enhanced data integration.
  • Growing demand for sustainability drives need for Cognite's data solutions.

What critics are saying

  • Increased competition from local AI firms in India may threaten Cognite's expansion.
  • Cognite's expansion in India may face regulatory compliance and talent acquisition challenges.
  • High expectations from stakeholders may impact strategic decisions after Alysa Taylor's appointment.

What makes Cognite unique

  • Cognite's flagship product, Cognite Data Fusion, excels in data contextualization for industries.
  • The company supports full-scale digital transformation in heavy-asset industries globally.
  • Cognite's SaaS model ensures continuous software updates and improvements for clients.

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Benefits

Competitive Compensation + 401(k) with employer matching

Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents

Unlimited PTO + flexibility to enjoy it

Paid Parental Leave Program

Learning & Development Stipends

Global Mobility & Exchange Program

Company Paid Friday Lunch via DoorDash + Fully Stocked Fridges in the offices

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-1%

2 year growth

-1%
MENAFN
Mar 20th, 2025
Cognite Establishes AI Hub In Bengaluru, Eyes Major Indian Industrial Collaborations

In a strategic move, Cognite recently relocated its headquarters to the United States, reflecting its global growth ambitions.

Upper Setup
Mar 20th, 2025
Cognite Expands AI Operations in India with Major Investment

Cognite expands AI operations in India with major investment.

The Mainstream
Mar 11th, 2025
Motive Technologies to Hire 100 as AI Unicorns Expand into India

Next week, Norwegian AI firm Cognite AS, which develops AI solutions for major energy companies, will launch a facility in Bangalore, creating around 100 jobs in areas like AI and machine learning.

Analytics India Magazine
Mar 3rd, 2025
How Cognite is Building its 'ChatGPT for Industrial AI' from Bengaluru

Cognite, a global industrial AI and data company, is expanding its footprint in India with its new global capability centre (GCC) in Bengaluru in March.

Cognite
Feb 4th, 2025
Cognite at ARC Forum 2025

Cognite AS is thrilled to be in Orlando, Florida again as a sponsor at the ARC Forum Conference happening Feb 10-13 and look forward to new insights and important conversations about industrial data & AI this year and beyond.