Data Scientist
Cognite
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇳🇱 Netherlands
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
AWSAzureCloudGoogle Cloud PlatformGrafanaPythonSQL
About the role
- 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 our 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.
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLmachine learningdata cleansingexploratory data analysisdata modelingGenAI techniquesstatisticsoptimizationGit
Soft skills
mentoringcoachingcollaborationcustomer-facingindependent deliveryproblem-solvinginnovationknowledge sharingcross-functional teamworkambitious goal setting
Certifications
Bachelor of ScienceMaster of Science