Cognite - Senior Data Scientist - Python
2 days ago
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.
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 Cognite and Cogniters :
Cognite is a global leader in industrial software with our Industrial DataOps platform, Cognite Data Fusion, at the core.
We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms.
Do you see how data can be used, modeled and visualized in new ways to improve decision making in heavy-asset industries? Do you enjoy building machine-learning or physics-based solutions to help operators, engineers and business leaders plan and run their processes more efficiently? If so, you should join Cognite and become a part of the team responsible for delivering Cognites cutting edge industry solutions to our customers
The data science team at Cognite is responsible for understanding our customers business goals and challenges, scoping and building solutions to address these, and growing Cognites impact within our customers digital transformation efforts.
As a Data Scientist in the team, you will work in cross-functional pods of other data scientists, data engineers, solution architects and project managers to configure, deploy, and operationalize digital solutions across the oil and gas, renewables/sustainability, power & utilities, and manufacturing industries.
You will work with the customer to understand their desired outcome, conduct discovery workshops, and advise on possible approaches and potential pitfalls.
You will build solutions based on physics models and/or using machine learning techniques, build dashboards for visualizing the solutions, and scale and deploy solutions in production using Cognites core capabilities.
The position will give you a unique opportunity to work with and learn from people with various backgrounds in business, software, and industry.
Who You Are :
- 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
- 1+ years experience serving as a domain expert on internal or customer projects
- Proficient with Python and its data ecosystem (pandas, numpy), ML libraries (scikit-learn, keras, etc)
- Experience in data visualization using PowerBI, Grafana, Tableau, or web development frameworks like Plotly Dash, Streamlit, etc.
- Promoting good software development practices including automated tests and documentation
- Experience with Version control (git, for example)
- Experience contributing code to a large software project
- Pragmatic, can balance short term and long term tradeoffs
- Realistic and credible advisor on machine learning
- Excellent communicator internally and with customers; Managing expectations of technical stakeholders at the customer.
- Mentoring and quality assurance of juniors work
- Cloud experience, such as building streaming calculations & models as serverless functions
- Deployment to production using provided infrastructure practices
- A track record of working in diverse industries
- Ready to stay up to date with latest developments in GenAI and using GenAI services to build use cases for customers
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