Data Scientist

8 Months ago • 3 Years +

Job Summary

Job Description

As a Data Scientist at Cognite, you will be responsible for understanding customers’ business goals, scoping and building solutions to address them, and growing Cognite’s impact within customers’ digital transformation efforts. You will collaborate with cross-functional teams to configure, deploy, and operationalize digital solutions across various industries, including oil and gas, renewables, power & utilities, and manufacturing. The role involves understanding customer needs, conducting workshops, advising on approaches, and building solutions using physics models and/or machine learning techniques. You will also build dashboards, scale and deploy solutions in production. You will be working in a hybrid role and will have a unique opportunity to work with people with various backgrounds in business, software, and industry.
Must have:
  • 3+ years experience in oil, gas, or utilities
  • 1+ years experience as a domain expert
  • Proficient with Python and ML libraries
  • Experience with data visualization tools
  • Promoting good software development practices
  • Experience with Version control (git)
  • Experience contributing to software projects
  • Excellent communication skills with customers
  • Cloud experience
Perks:
  • Competitive Compensation
  • 401(k) with employer matching
  • Health, Dental, Vision & Disability Coverages
  • Unlimited PTO
  • 18 Company Holidays
  • Paid Parental Leave Program
  • Employee Stock Purchase Program (ESPP)
  • Employee Referral Program
  • Company Paid Friday Lunch
  • Fully Stocked Fridges in the offices
  • Join a team of 70 different nationalities
  • Paid mobile phone and WiFi

Job Details

About Cognite
Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging data to unravel complex business challenges through our cutting-edge Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms. In the realm of industrial digitalization, we stand at the forefront, reshaping the future of Oil & Gas, Manufacturing and Energy sectors. As an integral part of the esteemed Aker family, Cognite brings forth a legacy of innovation and excellence. Excitingly, we are set to extend our footprint to the vibrant landscapes of India, which opens the door for you to be part of the expansion from the beginning. Join us in this venture where data meets ingenuity, and together, we forge the path to a smarter, more connected industrial future.

About 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 Cognite’s 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 Cognite’s 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 Cognite’s 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.

This is a hybrid role working out of either our Houston or Austin office so candidates must be local to either of these locations.

Who You Are

    • 3+ years industry experience (or an academic background) in the oil and gas, manufacturing or Power & Utilities domain building analytical solutions (data-driven and/or simulations) for production optimization and predictive maintenance, such as general well monitoring, well event predictions (risk identification), production planning, flow assurance, etc.
    • 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

Why choose Cognite? 🏆 🚀

A snapshot of our many perks and benefits as a Cogniter

    • Competitive Compensation including base plus bonus
    • 401(k) with 4% employer matching
    • Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents
    • Unlimited PTO + flexibility to enjoy it
    • 18 Company Holidays including the week between Christmas & New Years
    • Paid Parental Leave Program
    • Employee Stock Purchase Program (ESPP)
    • Employee Referral Program
    • Company Paid Friday Lunch via DoorDash + Fully Stocked Fridges in the offices
    • Join a team 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
    • 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.
    • Paid mobile phone and WiFI
    • A pet lover? Get the chance to meet Spot 🐶!
Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world. Our core Industrial DataOps platform, Cognite Data Fusion™, enables industrial data and domain users to collaborate quickly and safely to develop, operationalize, and scale industrial AI solutions and applications to deliver both profitability and sustainability. Visit us at www.cognite.com and follow us on Twitter @CogniteData or LinkedIn: https://www.linkedin.com/company/cognitedata

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.

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