Senior Data Scientist
$65 - $80 per hourAnveta
Job is onsite from day 1, however we can consider candidate who are willing to relocate Brentwood, TN, Interview can be Virtual.
Pay Rate:$65 -80/HR
Interview: Virtual
Duration: 6+ Months(Possible extension)
Role: Senior Data Scientist - Oil & Gas Analytics
Location: Brentwood, TN (Onsite) Key Responsibilities
Pay Rate:$65 -80/HR
Interview: Virtual
Duration: 6+ Months(Possible extension)
Role: Senior Data Scientist - Oil & Gas Analytics
Location: Brentwood, TN (Onsite) 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.
- 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.
- 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.
- 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
Vacancy posted 1 day ago
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