Senior Data Scientist

About CogniteEmbark on a transformative journey with Cognite, a global SaaS forerunner in leveraging data to unravel complex business challenges through our cutting-edge Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms. In the realm of industrial digitalization, we stand at the forefront, reshaping the future of Oil & Gas, Manufacturing and Energy sectors. As an integral part of the esteemed Aker family, Cognite brings forth a legacy of innovation and excellence. Excitingly, we are set to extend our footprint to the vibrant landscapes of India, which opens the door for you to be part of the expansion from the beginning. Join us in this venture where data meets ingenuity, and together, we forge the path to a smarter, more connected industrial future.
The Talent Acquisition Team and Hiring Team will be on summer holiday during the month of July. Expect delays in processing your application until the beginning of August. Thank you for your understanding and patience.

Cognite is a global leader in industrial software and AI with our Industrial DataOps platform, Cognite Data Fusion®, at the core. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms. 
The Data Science team at Cognite plays a crucial role in building data-driven solutions that empower our clients to make impactful business decisions. As a Data Scientist at Cognite, you will work on challenging data-problems with leaders in the industry. You will be a part of cross-functional teams that include data engineers, solution architects, and project managers. Together, your focus will be on configuring, deploying, and operationalizing digital solutions in sectors such as Oil and Gas, Power & Utilities, and Manufacturing.Additionally, you will engage with clients to understand their desired outcomes, lead discovery workshops, and provide insights on potential strategies and obstacles. 
The Data Science team is a part of the EMEA delivery team in our Global Delivery organization. Global Delivery is truly global, with offices in Oslo (Norway), Austin & Houston (Texas, USA) and Tokyo (Japan).  We are a good mix of Project Managers, Data Scientists, Data Engineers, Solution Architects with domain expertise from Oil and Gas, Power & Utilities and Manufacturing.We are responsible for delivering successful projects that are flexible and scalable, and foster adoption of our product.  In sum, we derive valuable insights from previously hidden data, enabling workers and leaders to transform how heavy asset industries operate to become more efficient and sustainable. The EMEA Delivery counts around 80 Data Engineers, Data Scientists, Solution / Enterprise Architects, and Project Managers. 

As a Senior Data Scientist you are responsible for the following, but not limited to

• 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
• 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

We believe most of these should match your experience

• 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 (prefarbly 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