Data Scientist – Digital Oilfield Systems

Python
Rubius is an accredited IT company. We develop software for clients from various industries—from industrial and oil & gas to retail and medicine. Founded in the very heart of Siberia, Tomsk, we now have partner companies all over the world.
Our solutions are used by Russian and global leaders such as Apple, Tesla, Kaspersky, Amazon, IBM, Uber, Netflix, Gazprom, Russian Railways, and others. The company's partners are located in the UAE (Dubai), Kazakhstan (Astana), Russia (Moscow, St. Petersburg), and Saudi Arabia (Riyadh).
Job Description (contract for one year):
We are looking for a hands-on Data Scientist to lead the development of machine learning models and data-driven insights for Digital Oilfield (DOF) systems. This role requires a strong foundation in data science and statistical modeling, with the ability to transform noisy, real-world oilfield data into actionable intelligence for engineering teams. Business Trips to Kuwait for a month or two are obligatory. If you want to live there for a year (contact period), you are also welcome!
Candidate will work alongside production engineers, software developers, and ML engineers to design, validate, and operationalize predictive and prescriptive analytics that support key decisions in subsurface and surface operations. Oil & gas experience is a strong asset but not mandatory; the ideal candidate brings analytical rigor and problem-solving expertise to solve complex field challenges.
Key Responsibilities:

Analyze diverse operational datasets (time series, tabular, sensor logs, etc.) to extract insights and guide model development.

Build and evaluate ML models for forecasting, anomaly detection, pattern recognition, and classification.

Work with engineers to define KPIs and convert domain-specific questions into quantifiable modeling tasks.

Design meaningful visualizations and dashboards to communicate model outputs clearly.

Collaborate with ML Ops and software teams to deploy models into production environments and monitor performance.

Required Skills and Experience:

Strong statistical background and data science expertise with real-world datasets.

Proficient in Python (NumPy, pandas, scikit-learn, XGBoost, etc.); SQL fluency and data wrangling skills.

Experience working with large, messy, or multivariate time series data.

Ability to communicate complex model behavior to engineers and stakeholders.

Comfortable working in cross-functional teams with domain and technical experts.

Nice to Have:

Oilfield data exposure (e.g., well data, reservoir simulations, production logs) or interest in industrial applications.

Familiarity with DOF systems or production optimization frameworks.

Exposure to LLMs, NLP techniques, or agent-based AI for enhancing technical workflows.

Cloud familiarity (Azure preferred); knowledge of ML platforms (e.g., Azure ML, Databricks).

Certifications:

Azure Data Scientist Associate or Microsoft AI Fundamentals certification is a plus.

AWS cloud knowledge is welcome but not required.

Industry Experience:

Experience in the oil and gas industry will be a significant plus.

- Candidates with experience in building AI systems in other industries are also encouraged to apply.

What We Offer
Our employees are the main asset of Rubius. We support creative freedom and the soar of engineering thought. We strive to ensure that every member of our team realizes their potential. We care about our employees. Here, both remote and in-office teams feel maximally comfortable.
About Work and Compensation:

Official employment and timely "white" salary (fully legal & transparent)

- Monthly performance bonus of up to 5%

- Comfortable workspace with an ergonomic chair

- Support with home office setup for remote employees

- Flexible start to the working day

- Bonuses for being part of an accredited IT company

- Business trip expenses on us

About Growth and Development:

Individual development track

- Work with a Tech Lead and a mentor (we have technical guilds)

- Opportunity to join the company's Technical Council

- 50% compensation for professional certification within individual tracks

- Internal meetups on various topics and detailed guides

About the Office, Perks, and Atmosphere:

Paid sports activities (even for home workouts)

- Opportunity to get private health insurance (including dental) after the probation period for office employees, and telemedicine for remote employees

- Tasty breakfasts, an office with a veranda and a large kitchen

- Discounts for you and your relatives at Rubius Academy

- Bonuses for the birth of children and marriage

- Diverse corporate events and activities

- Developed and comfortable corporate culture, without hierarchy

- Interest-based communities (soccer, tennis, our own music band, chess club...) and a team where everyone's opinion is heard.

To get to know us better, search for "Rubius" in your browsers.
We will be happy to work in a team with people who love what they do!

Please note that the employment contract will be for a fixed term of one year.

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