Data Scientist

6 hours ago

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Cognite

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Artificial Intelligence • Energy • Enterprise

Cognite is a company specializing in AI-powered contextualization and digital transformation for industrial operations. Its flagship product, Cognite Data Fusion®, facilitates data integration, management, and contextualization to enhance productivity, safety, and performance across various industrial sectors such as energy, renewables, and power generation. Cognite's solutions are designed to optimize operations, provide real-time data insights, and support industrial data-driven decision-making, thereby delivering substantial returns on investment for its customers. The company also offers resources for industrial digital twins, DataOps, and autonomous operations.

501 - 1000 employees

Founded 2016

🤖 Artificial Intelligence

⚡ Energy

🏢 Enterprise

📋 Description

• 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 • Design and develop domain specific information and data models • 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 • Mentoring and coaching junior team members is an important part of being a Senior at Cognite • 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

🎯 Requirements

• Bachelor/Master of Science in a quantitative field or mechanical, systems, electrical or industrial engineering • **2+ 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 • Experience with Git • Experience working customer faced, with external customers • Experience with managed cloud services such as GCP, Azure or AWS is a plus • Domain knowledge or a good understanding of the Oil and Gas industry Asset Performance Management - covering i.e production optimization is a big plus. (As key CDF advisors, we want out Data Scientist to have a good understanding of our customer data, and assist them in understanding how CDF can help solve their problems related to i.e production optimization) • Enjoy working in cross-functional teams • Able to deliver independently, coach and mentor others internally • Enjoy challenges and dare to set ambitious goals that drive innovation • Humility to ask for help and enjoy sharing knowledge with others

🏖️ Benefits

• Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝 • A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more • Flat structure with direct access to decision-makers, with minimal amount of bureaucracy • Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries • Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners. • 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; everyone we hire will receive the same level of consideration for training, compensation, and promotion.