Job Description
- Experience with Python in a production setting.
- Experience with managed cloud services such as GCP, Azure or AWS.
- Domain knowledge or a good understanding of the Oil and Gas industry Asset Performance Management.
- 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.
- Develop and deploy scalable solutions for customer use cases using Cognite’s core capabilities.
- Participate in intensive use case generation workshops with subject matter experts.
- Perform data cleansing and exploratory data analysis.
- Implement physical models / machine learning models in Python and deploy to 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.
- Collaborate with data engineers, project managers and solution architects on project deliveries.
- Support customers and partners in conducting data science tasks with Cognite products.
- 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).
- Proficient experience with Python and SQL.
- Experience with machine learning methods and techniques, statistics and/or optimization.
- Experience with Git.
- Experience working customer faced, with external customers.
- 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.
- 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.
About Cognite
Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
Learn more about Cognite here
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**Data Contextualization Masterclass 2023
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Our values
Impact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves.
Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success.
Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth.
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 plays a crucial role in building data-driven solutions that empower our clients to make impactful business decisions. As a Data Scientist, 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), Phoenix & Houston (USA), Tokyo (Japan) and Bengaluru (India). 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.
As a 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
- 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
We believe most of these should match your experience
- 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
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
A snapshot of our many perks and benefits as a Cogniter
- 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
- 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.
Why choose Cognite? 🏆 🚀
Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader! 🥇 Most recently Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins 🥇
Apply today!
If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions -
We encourage you to follow us on Cognite LinkedIn; we post all our openings there.
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.
We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.
