Cognite

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At Cognite, we are a global SaaS pioneer, building an industrial future where data, enhanced by Cognite Data Fusion (CDF), transforms complex challenges into opportunities. We redefine industrial digitalization, shaping the future of oil and gas, manufacturing, and energy. The Data Science team creates data-driven solutions, enabling clients to make high-impact business decisions. You'll work on complex problems in multidisciplinary teams, focusing on configuring, deploying, and industrializing digital solutions across various industrial sectors. You'll also interact directly with clients to understand objectives and propose strategies.

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About CogniteAt Cognite, we are more than just a global SaaS (Software as a Service) pioneer; we are the architects of an industrial future where data, enhanced by our Cognite Data Fusion (CDF) platform, transforms complex challenges into unprecedented opportunities.We don't just lead industrial digitalization – we redefine it! Join us to shape the future of oil and gas, manufacturing, and energy. It's an adventure where ingenuity unleashes the power of data, for a smarter, faster, and hyper-connected industrial world.Learn more about Cognite here:<a href="https://www.google.com/search?q=https://www.cognite.com/resources/cognite-product-tour-2024" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Cognite Product Tour 2024</a><a href="https://www.google.com/search?q=https://www.cognite.com/resources/cognite-product-tour-2023" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Cognite Product Tour 2023</a><a href="https://www.google.com/search?q=https://www.cognite.com/resources/data-contextualization-masterclass-2023" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Data Contextualization Masterclass 2023</a>Our ValuesImpact: Cogniters strive to have an impact in everything they do. We are results-oriented, always asking ourselves: "What is my impact?"Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the common good, fostering inclusivity and sharing responsibilities for challenges and successes.Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and reliable (never ruthless or reckless), we face challenges head-on and view setbacks as opportunities for growth.The Data Science team plays an essential role in creating data-driven solutions, enabling our clients to make high-impact business decisions. As a Data Scientist, you will work on complex problems alongside industry leaders. You will be part of multidisciplinary teams composed of data engineers, solution architects, and project managers. Together, you will focus on configuring, deploying, and industrializing digital solutions in sectors such as oil and gas, energy, utilities, and industrial manufacturing.You will also interact directly with clients to understand their objectives, lead discovery workshops, and propose recommendations on possible strategies and potential obstacles.The Data Science team is part of the EMEA Delivery team, within our Global Delivery organization. This organization is truly global, with offices in Oslo (Norway), Austin & Houston (Texas, USA), and Tokyo (Japan).We bring together a diverse team composed of project managers, data scientists, data engineers, and solution architects, with business expertise in the oil and gas, energy, utilities, and manufacturing sectors.We are responsible for the successful delivery of the projects we undertake — projects that are flexible, scalable, and promote the adoption of our products. In summary, we reveal high-value insights from previously untapped data, enabling operators and decision-makers to transform the operating modes of heavy industries to make them more efficient and sustainable.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">As a Senior Data Scientist, you are responsible for the following, without limitation:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Develop and deploy scalable solutions for client use cases in the oil and gas, industrial manufacturing, and energy & utilities sectors using key capabilities.</li><li class="leading-relaxed">Participate in intensive use case generation workshops with business experts to understand problems and their connection to data.</li><li class="leading-relaxed">Perform data cleaning and exploratory data analysis.</li><li class="leading-relaxed">Implement physical models or machine learning models in Python and deploy them in our model hosting environment.</li><li class="leading-relaxed">Design and develop domain-specific information and data models.</li><li class="leading-relaxed">Apply Generative AI (GenAI) techniques to improve data-driven decision-making in client use cases.</li><li class="leading-relaxed">Create dashboards in Grafana, Power BI, Plotly, or Dash to visualize solutions.</li><li class="leading-relaxed">Utilize and contribute to solution models and best practices within the Data Science team.</li><li class="leading-relaxed">Mentor and coach junior team members.</li><li class="leading-relaxed">Collaborate with data engineers, project managers, and solution architects to ensure project deliveries and enable our clients to fully leverage our industrial DataOps platform.</li><li class="leading-relaxed">Support clients and partners in performing data science tasks with products.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">We believe most of these points should match your experience:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Bachelor's or Master's degree in a quantitative field, or in mechanical, systems, electrical, or industrial engineering</li><li class="leading-relaxed">More than 5 years of full-time professional experience as a data scientist (preferably in a related industry), or as a data scientist with business expertise in the oil and gas, energy, maintenance, or industrial manufacturing sectors</li><li class="leading-relaxed">Proficiency in Python and SQL. Experience with Python in a production environment is a plus.</li><li class="leading-relaxed">Experience with machine learning methods and techniques, statistics, and/or optimization.</li><li class="leading-relaxed">Experience with Git.</li><li class="leading-relaxed">Experience in client relations, with external clients.</li><li class="leading-relaxed">Experience with managed cloud services such as GCP, Azure, or AWS is a plus.</li><li class="leading-relaxed">Business knowledge or good understanding of asset performance management in the oil and gas industry — including, for example, production optimization — is a major asset.</li><li class="leading-relaxed">(As key advisors on CDF, we expect our data scientists to have a good understanding of our clients' data, and to be able to support them in solving their problems, particularly those related to production optimization)</li><li class="leading-relaxed">Enjoy working in multidisciplinary teams.</li><li class="leading-relaxed">Ability to deliver autonomously, mentor, and support others internally.</li><li class="leading-relaxed">Love challenges and dare to set ambitious goals to drive innovation.</li><li class="leading-relaxed">Show humility to ask for help, and appreciate sharing knowledge with others.</li></ul>Don't meet all the requirements? We are committed to building a diverse, inclusive, and authentic workplace. So, if this role excites you but your past experience doesn't perfectly align with every qualification in the job description, we encourage you to apply anyway. You might be the right candidate for this or other roles.A glimpse of our many advantages and benefits as a Cogniter:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Join an organization of 70 different nationalities 🌐 focused on diversity, equality, and inclusion (DEI) 🤝</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">A very modern and fun work environment with a sublime culture across the organization, follow us on Instagram<a href="https://www.instagram.com/cognitedata" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">@cognitedata</a></li></ul>📷 to learn more<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Flat structure with minimal bureaucracy</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Opportunity to work with and learn from the best on some of the most ambitious projects found anywhere, across all industries.</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Join our <a href="https://hub.cognite.com/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">HUB</a></li></ul>🗣️ for direct conversation with Cogniters and our partners.Why choose Cognite? 🏆 🚀 Join us to make a real and lasting impact in one of the most exciting and fastest-growing software companies in the world. We have repeatedly demonstrated that digital transformation, when rooted in robust DataOps, generates business value and sustainability for clients and empowers frontline workers, as well as domain experts, to make better decisions every day. We have been recognized as one of the world's best enterprise tech startups by CNBC, driving digital transformation!If you are excited about the opportunity to work and make a difference in the tech industry, we encourage you to apply today! We welcome candidates from all backgrounds and identities to join our team. Feel free to contact our talent acquisition team for any questions. We encourage you to follow us on <a href="https://www.linkedin.com/company/cognitedata/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Cognite LinkedIn</a>; we post all our offers there.Equal Opportunity is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; anyone 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 evaluation in the recruitment process. Your response will help us achieve this commitment! However, the gender question is optional, and your choice not to answer will not affect the evaluation of your application in any way.

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