Cognite

Data Scientist

Cognite

full-time

Posted on:

Location Type: Hybrid

Location: Phoenix • Arizona • 🇺🇸 United States

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Job Level

JuniorMid-Level

Tech Stack

AWSAzureCloudGoogle Cloud PlatformGrafanaPythonReactSQL

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 (SMEs) to understand the problem, industry domain knowledge, 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.
  • Develop robust front-end User Interfaces (UIs) and dashboards using Streamlit, Grafana, Power BI, Plotly or Dash.
  • Leverage strong understanding of solution architecture to ensure deployed solutions are flexible, scalable, and fully integrated into the client's industrial landscape.
  • 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.

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 is required.
  • Proficient experience with Python and SQL.
  • Experience with machine learning methods and techniques, statistics and/or optimization as well as physics based modeling.
  • Experience with Git.
  • Experience working customer-faced, with external customers.
  • Front-end development experience with frameworks such as React or native knowledge of UI platforms like Streamlit/Dash is highly desired.
  • Understanding of solution architecture, system design, and deployment best practices in a cloud environment.
  • Experience with managed cloud services such as GCP, Azure or AWS is a plus.
  • Strong domain knowledge or a good understanding of Industry and Asset Performance Management—covering areas like production optimization—is a big plus.
  • 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
  • Competitive compensation
  • 401(k) with employer matching
  • Competitive health, dental, vision & disability coverages for employees and all dependents
  • Unlimited PTO
  • Paid Parental Leave Program
  • Employee Referral Program
  • Paid mobile phone and WiFI

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLmachine learningdata cleansingexploratory data analysisphysical modelsstatisticsoptimizationfront-end developmentsolution architecture
Soft skills
mentoringcoachingcollaborationindependent deliveryproblem-solvinginnovationcommunicationcross-functional teamworkcustomer-facing experiencegoal setting