Senior Data Scientist - Oil & Gas Analytics (Onsite)

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Hope you are doing well,

Please find the job description given below and let me know your interest.

Position: Senior Data Scientist Oil & Gas Analytics (Onsite)

Location: Brentwood, TN (Onsite Day 1, Relocation Works)

Duration : 6+ months

Job Description:

Key Responsibilities

Business Problem Solving & Stakeholder Engagement

Partner with business stakeholders and subject matter experts across the organization to identify, prioritize, and solve high-value business problems using data science and machine learning.

Translate business challenges into analytical, predictive, and optimization solutions.

Develop a strong understanding of business processes, operational workflows, and key performance drivers.

Communicate analytical findings and recommendations to both technical and non- technical audiences.

Present insights in a manner that supports informed business decision-making and measurable outcomes.

Required Qualifications & Experience

Bachelor's or Master's degree in data science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field.

7+ years of hands-on experience in Data Science, Advanced Analytics, or Machine Learning.

3+ years of experience within the Oil & Gas industry, including exposure to operational, commercial, engineering, or industrial data environments.

Proven experience developing and deploying machine learning models that deliver measurable business value.

Experience working directly with business stakeholders to understand requirements, define analytical approaches, and communicate results.

Demonstrated ability to independently acquire, analyze, cleanse, transform, and prepare data for analytical and machine learning initiatives.

Experience partnering with Data Engineering teams to transition analytical solutions into scalable production environments.

Strong problem-solving skills with the ability to work effectively in ambiguous business environments and with incomplete or imperfect datasets.

Oil & Gas Experience (Mandatory)

Candidates must possess hands-on experience within the Oil & Gas Industry or Manufacturing Industry and demonstrate the ability to apply data science and machine learning techniques to solve operational, commercial, engineering, maintenance, reliability, supply chain, or optimization challenges.

Experience working with operational and industrial datasets such as process data, historian data, maintenance data, supply chain data, logistics data, or other industry-specific data sources is strongly preferred.

Preferred Skills & Technologies

Microsoft Azure, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Machine Learning, Databricks, Apache Spark / PySpark

Python, Pandas, NumPy, SciPy, Scikit-Learn, Statsmodels, Notebooks

XGBoost, LightGBM, TensorFlow, PyTorch, Time-Series Forecasting Frameworks, Optimization Techniques, Simulation Modeling, Statistical Modeling

Power BI, Plotly, Matplotlib, Seaborn

Data Modeling, ETL / ELT Concepts, Data Warehousing, Data Quality Management, Feature Engineering, Metadata Management, Data Governance Principles

Git, GitHub, Azure DevOps, CI/CD Pipelines, Model Monitoring, Model Versioning, API Development

PI Historian / AVEVA PI System, SCADA Systems, Distributed Control Systems (DCS), Industrial IoT Platforms, Operational Telemetry Data, Process Control Data, Reliability and Maintenance Systems, SAP Data Sources

Predictive Maintenance, Asset Reliability, Process Optimization, Yield Optimization, Energy Efficiency & Management, Supply Chain Analytics, Logistics Optimization, Demand Forecasting, Inventory Optimization, Operational Performance Analytics, Root Cause Analysis, Risk Modeling

If you are interested, please share your updated resume and suggest the best number & time to connect with you .

Ajit Kumar



US IT Recruiter, DMS VISION Inc

View email address on us.fitly.work