Senior Data Scientist
Baker Hughes
full-time
Posted on:
Location Type: Office
Location: Bangalore • India
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Job Level
About the role
- Leading the full ML lifecycle—from problem formulation and data acquisition to enterprise-scale deployment
- Collaborating with product managers, engineers, and domain experts to translate business needs into scalable AI solutions that enhance efficiency and safety
- Designing and implementing advanced models for time series forecasting, natural language processing (NLP) for unstructured data, and agentic AI systems for autonomous decision-making
- Applying statistical and machine learning techniques (e.g., regression, Bayesian methods, deep learning)
- Developing and optimizing predictive models for use cases such as equipment health monitoring, reservoir modeling, and real-time operational analytics
- Ensuring model performance, interpretability, and compliance with industry standards and ethical AI practices
Requirements
- Have Master’s, or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines
- Specialization (education and work experience) in data science or machine learning
- Have 6+ years of data science experience, delivering production-grade solutions
- Have expertise in time series modeling, NLP, and agentic AI frameworks
- Have strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Be familiar with oil & gas datasets (e.g., drilling, production, SCADA, seismic) and domain-specific challenges
- Have experience working in product teams, contributing to roadmap planning and feature development
- Have knowledge of cloud platforms (AWS, Azure, or GCP) and MLOps best practices
- Preferred to have experience with reinforcement learning, LLM fine-tuning, or multi-agent systems for industrial automation
- Preferred to have experience with digital oilfield technologies, sensor data analytics, and real-time monitoring systems
Benefits
- Contemporary work-life balance policies and wellbeing activities
- Comprehensive private medical care options
- Safety net of life insurance and disability programs
- Tailored financial programs
- Additional elected or voluntary benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata sciencetime series modelingnatural language processingpredictive modelingstatistical techniquesregressionBayesian methodsdeep learningreinforcement learning
Soft Skills
collaborationproblem formulationcommunicationteamworkroadmap planningfeature development
Certifications
Master’s degreePhD degree