Senior Data Scientist at Cognite

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Oil & Gas, Power & Utilities, Manufacturing, Chemicals, Pharma, EnergyIndustries

Requirements

Master of Science in a quantitative field or mechanical-, systems-, electrical- or industrial engineering
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
Proficient experience with Python and SQL. Experience with Python in a production setting is a plus
Experience with machine learning methods and techniques, statistics and/or optimization

Responsibilities

Develop and deploy scalable solutions for customer use cases from Oil and Gas, Manufacturing and Power & Utilities industries using Cognite’s core capabilities
Participate in 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
Build dashboards in Grafana, Power BI, Plotly or Dash for visualizing the solutions
Utilize and contribute to solution templates and best practices within the Data Science team
Mentor and coach junior team members
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

Skills

Key technologies and capabilities for this role

Data ScienceAIMachine LearningPythonData AnalysisDigital TwinsIndustrial Data PlatformsClient WorkshopsCross-functional Collaboration

Questions & Answers

Common questions about this position

What is the work arrangement or location policy for this role?

The role is part of the EMEA Delivery team in the Global Delivery organization with offices in Oslo (Norway), Austin & Houston (Texas, USA), and Tokyo (Japan). This information is not specified in the job description.

What technical skills are required for this Senior Data Scientist position?

Key skills include performing data cleansing and exploratory data analysis, implementing physical models and machine learning models in Python, deploying to model hosting environments, applying GenAI techniques, and building dashboards in Grafana and Power BI.

What does the Data Science team at Cognite look like?

The Data Science team is part of the EMEA delivery team within the Global Delivery organization, consisting of around 80 Data Engineers, Data Scientists, Solution/Enterprise Architects, and Project Managers. You will work in cross-functional teams with data engineers, solution architects, and project managers, with domain expertise in Oil and Gas, Power & Utilities, and Manufacturing.

What is the salary or compensation for this position?

This information is not specified in the job description.

What experience makes a strong candidate for this role?

Strong candidates have experience developing scalable solutions for industries like Oil and Gas, Manufacturing, and Power & Utilities, participating in use case workshops, and working with Cognite’s core capabilities including data analysis, Python ML models, GenAI, and dashboard tools.

Cognite

Industrial data management for asset-heavy industries

About Cognite

Cognite specializes in managing industrial data and facilitating digital transformation for asset-heavy industries like oil and gas, power and utilities, and manufacturing. Its main product, Cognite Data Fusion, integrates and organizes data from various sources, making it easier for businesses to analyze and utilize this information effectively. This process, known as data contextualization, enhances the relevance of data for better decision-making. Cognite operates on a software-as-a-service (SaaS) model, allowing clients to subscribe to its software, which provides a consistent revenue stream and access to ongoing updates. Additionally, Cognite offers consulting services to assist clients in optimizing their use of the software. The company's goal is to help industries improve their operations through better data management and digital solutions.

Bærum, NorwayHeadquarters

2016Year Founded

$219.2MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Industrial & Manufacturing, Enterprise SoftwareIndustries

501-1,000Employees

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

Risks

Emerging industrial AI startups pose a threat to Cognite's market share.

Geopolitical tensions could disrupt operations in key regions like the Middle East.

Reliance on cloud providers introduces risks related to data security and outages.

Differentiation

Cognite Data Fusion integrates and contextualizes data for asset-heavy industries.

Cognite offers a subscription-based SaaS model, ensuring continuous software updates.

Cognite's solutions enhance safety, sustainability, and efficiency in industrial operations.

Upsides

Cognite's partnership with Google Cloud enhances scalability and security for data management.

The launch of Cognite Embedded opens new innovation avenues for industrial software builders.

Cognite's joint venture with Saudi Aramco expands its influence in the MENA region.

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