Job Description
Job Description
Job Title: Data Scientist
Location: PuTC, Pune
About SLB
Schlumberger is a leading provider of oilfield services, focusing on innovative technologies for reservoir characterization,
drilling, and production. We are also a leading employer in the oilfield sectorwith a reputation for hiring the best and
the brightest people and keeping them at the top of their game through rewarding career-long development opportunities.
We leverage strong local experience and the diversity in thought, background, and knowledge that more than 170
nationalities bring.
We employ over 82,000 people and work in more than 120 countries, we help our customers find and produce oil and
gas in ways that demonstrate respect for both people and the environment. Today's industry challenges call for new
ideas, techniques, and solutions. If you want to drive your career and want to grow with a company that's embraced new
ways of thinking since 1927, we may have the career for you. Further information about Schlumberger can be found at
www.slb.com
About Role
We are looking for data scientists in the PuTC Data Science team. The Data Scientists will be responsible for designing
and executing undirected research and tackling open-ended data problems using advanced techniques in AI (Artificial
Intelligence), ML (Machine learning), DL (deep learning), and Large Language Models (LLMs). This role involves working
independently with very complex and large, multi-format datasets (often TB scale) across various industrial applications.
The individual will be a highly capable individual contributor, responsible for leading end-to-end solution development,
from initial ideation and Proof of Concept to robust production deployment. This includes deep technical contributions in
core data science, statistical analysis, data engineering (ETL), and interactive dashboard creation. They will collaborate
with various cross-functional teams and external clients, providing periodic updates through presentations and prototype
demonstrations, and often managing multiple simultaneous high-impact projects. The ability to build scalable, cloudnative
AI/ML solutions, develop interactive data visualizations, and automate data ingestion pipelines for diverse client
deployments is critical.
Responsibilities
Assimilate next-generation technologies for data-driven solutions in oil and gas domain
Generate innovative ideas, establish new research directions, and shape and execute on research projects
Apply engineering knowledge in developing data-driven algorithms and prototypes for classification,
regression, anomaly detection, failure prediction, and optimization
Collaborate with business and engineering teams to implement robust and scalable industrial software
solutions
Contribute to technical discussions and undertake reviews of different projects as an expert
Communicate ideas, plans, and results effectively to different stake holders
Participate in technical forums and other appropriate events and conferences
Qualifications and Requirements:
M.S/MTech/PhD in computer science, mathematics, physics, applied sciences, engineering or similar disciplines with demonstrated research capability
Min 4 to 7 years of experience in development of data science algorithms.
Proven experience in developing core machine learning algorithms in professional research and development settings
Require Strong knowledge of machine learning and deep learning algorithms and their application to time series analysis, text analytics/NLP, computer vision etc
Strong expertise in ETL processes, data manipulation, and data quality assurance.
Knowledge of developing deep learning models using TensorFlow, Keras, Pytorch, LLM etc.
Expert-level proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn).
Proven experience with R for statistical analysis, data visualization, and web applications (e.g., RShiny).
Extensive hands-on experience with Dataiku for building and orchestrating automated data science workflows.
Proven expertise in developing complex, interactive dashboards and data visualization solutions
Advanced proficiency in SQL for complex data querying, manipulation, and optimization.
Excellent verbal and written communication skills.
Preferred
Strong knowledge of optimization, sensor processing
Strong Knowledge of DataIku
Knowledge of designing distributed and parallelized algorithms for ML applications
Understanding and experience in Oil and Gas domain
Knowledge of designing distributed and parallelized algorithms for ML applications.
Experience in processing and managing large data sets (TB scale).
Familiarity with C# for plugins creation or other development tasks.
Familiarity with petrophysical analysis software like Ocean for Techlog and scripting for automation within such environments.
Track records of past publications in relevant topics.
Prior experience leading technical projects or mentoring junior data scientists.
Track records of past publications in relevant topics
SLB as an employer
As a leading employer in our industry, Schlumberger is proud to offer a highly competitive package of base and incentive compensation as well as a comprehensive benefits program designed to support the health, wellness and financial security of our employees and their families. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or other characteristics protected by law.
8+ years
