Senior Data Scientist

Overview

Lead ML lifecycle & AI solutions for energy tech, focusing on time series, NLP, agentic AI.

Key Responsibilities

• machine learning
• model validation
• stakeholder collaboration
• predictive modeling
• ml lifecycle
• advanced modeling

Tasks

-Applying statistical and machine learning techniques (e.g., regression, Bayesian methods, deep learning). -Ensuring model performance, interpretability, and compliance with industry standards and ethical AI practices. -Collaborating with product managers, engineers, and domain experts to translate business needs into scalable AI solutions that enhance efficiency and safety. -Developing and optimizing predictive models for use cases such as equipment health monitoring, reservoir modeling, and real-time operational analytics. -Leading the full ML lifecycle—from problem formulation and data acquisition to enterprise-scale deployment. -Designing and implementing advanced models for time series forecasting, natural language processing (NLP) for unstructured data, and agentic AI systems for autonomous decision-making.

Requirements

• 6+ years
• phd/master
• python
• aws
• tensorflow
• nlp

What You Bring

-Have 6+ years of data science experience, delivering production-grade solutions. -Have experience working in product teams, contributing to roadmap planning and feature development. -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 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. -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. -Preferred to have experience with digital oilfield technologies, sensor data analytics, and real-time monitoring systems.

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Benefits

-Tailored financial programs -Contemporary work-life balance policies and wellbeing activities -Safety net of life insurance and disability programs -Comprehensive private medical care options -Additional elected or voluntary benefits -Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

About Baker Hughes

-Specializing in oil and gas exploration, drilling, and production, the company has a history of pioneering new technologies. -Notable for innovations like the world's first automated drilling system, the company has been at the forefront of optimizing energy operations. -The company is integral to major global projects, from large-scale energy exploration to developing critical infrastructure. -Has built a reputation for solving complex challenges, with a focus on safety, efficiency, and sustainability. -In recent years, the company has expanded its portfolio to include digital solutions, automation, and advanced analytics. -Has contributed significantly to global energy transitions, developing cutting-edge solutions for energy efficiency and sustainability.

Sector Specialisms