Sr Data Scientist Carbon Management Platforms
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Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Description Summary
The Sr. Data Scientist will work in cross-functional teams to design develop and deploy advanced analytics solutions across the Energy domain including power generation oil & gas and industrial manufacturing. You will apply statistical modeling machine learning optimization forecasting anomaly detection and NLP techniques to solve high-value business problems at scale.In addition you will have the opportunity to explore and apply modern Generative AI approaches (LLMs Retrieval-Augmented Generation and agent-based orchestration) where appropriate to accelerate insights and productivity with a balanced focus on both research thinking and production delivery.
Job Description
As a Sr. Data Scientist you will be part of cross-disciplinary team on commercially facing development projects typically involving large complex datasets. These teams include data scientists software engineers product managers domain specialists and end users working together to deliver measurable business value.
Typical application areas include remote monitoring solutions on carbon management carbon reduction solutions based on operations optimization predictive maintenance financial & operational risk modeling intelligent decision support etc.
In this role you will:
Develop scalable analytics and machine learning solutions to address optimization forecasting anomaly detection and NLP needs.
Translate concepts and analytical approaches into commercially viable products and services in collaboration with software developers and engineers.
Design and conduct exploratory and targeted analyses to understand data behavior and uncover actionable insights.
Contribute to model lifecycle activities including feature engineering model training validation deployment and monitoring (MLOps).
Work closely with data engineers on data quality assessment data preparation and data pipelines.
Document your work clearly (reports notebooks annotated code) and communicate findings to technical and non-technical stakeholders.
Mentor junior team members and support best-practice adoption across the team.
Engage with customers to understand requirements present results and shape solution direction.
(Advantage) Explore and prototype modern Generative AI capabilities such as:
LLM-powered applications
Retrieval-Augmented Generation (RAG)
Multi-agent orchestration for automation
with attention to safety reliability and business value.
Education Qualification
Bachelors Degree in Computer Science or STEM Majors (Science Technology Engineering and Math) with advanced experience.
Desired Characteristics
Strong proficiency in at least one analytics or programming language (e.g. Python).
Demonstrated experience in data cleansing data quality assessment and analytical data preparation.
Hands-on experience applying descriptive statistics feature engineering and predictive modeling to real-world/industrial datasets.
Ability to present insights clearly through visualizations and compelling storytelling.
Technical Expertise
Experience with Python PyTorch or TensorFlow and ML lifecycle tools such as MLflow.
Awareness of data management and data engineering best practices.
Awareness of real-time or near-real-time analytics deployment patterns.
Working knowledge of cloud concepts (AWS basics preferred) for service deployment.
Exposure to GenAI / LLM concepts (RAG LLM apps multi-agent orchestration) nice to have not mandatory.
Domain Knowledge
Awareness of industry and technology trends in Power Generation Oil & Gas or Manufacturing.
Understanding of customer value drivers performance metrics and stakeholder needs in industrial contexts.
Leadership
Proven ability to function effectively within collaborative cross-disciplinary teams.
Demonstrated problem-solving capability and critical thinking.
Ability to influence through data communicate trade-offs and help guide decisions.
Experience mentoring junior team members.
Personal Attributes
Comfortable operating in ambiguous environments and iterating toward clarity.
Balanced mindset between research exploration and production-grade delivery.
Willingness to travel occasionally when business needs require (advantage).
Additional Information
Relocation Assistance Provided: Yes
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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