Data Scientist, BI & Analytics (Experienced)

Brief Description:

NexTier's Completions Data Science team brings together talented, driven professionals who turn complex operational data into clear insights and empower our organization to make smarter, data-backed decisions every day. We partner with Operations, Reservoir Engineering, Supply Chain and Sales to develop dashboards, forecasts and analytics that optimize our operations.

Detailed Description:

In this role you will design and build scalable data-driven pipelines, develop interactive dashboards, apply statistical techniques and basic machine-learning methods to surface insights, and translate your analyses into recommendations that drive operational efficiency and business planning.

Key Responsibilities:

• Define and evolve the BI strategy, identifying high-value analytics use cases across Completions, Reservoir, Supply Chain and Sales
• Architect, implement and maintain cloud-native analytics pipelines using Python, SQL and orchestration tools
• Build and optimize interactive dashboards in Tableau or other BI tools with filters, alerts and scheduled updates
• Apply time-series forecasting, clustering and regression analyses to supplement dashboards with proactive insights
• Partner with stakeholders from Operations, Reservoir Engineering, Supply Chain and Sales to gather requirements and deliver analytics solutions
• Mentor data analysts through code reviews, best-practice sharing and hands-on coaching
• Enforce standards for code quality, version control and documentation across the analytics team
• Present findings in concise slide decks and written reports for both technical and non-technical audiences

Job Requirements:

• Prior experience in completions or oil and gas data analytics
• Proven track record leading and mentoring analytics teams or projects
• Expert programming skills in Python (Pandas, NumPy) and SQL for data manipulation
• Hands-on experience building dashboards and reports in Tableau or other BI tools
• Strong communication skills with the ability to translate technical analyses into clear recommendations
• Ability to manage multiple priorities and deliver results on time

Minimum Qualifications:

• Bachelor's degree in Data Science, Engineering, Computer Science, Statistics or related field
• 5+ years of experience applying data science techniques in industrial settings
• 3+ years building and deploying data-science algorithms on cloud platforms (AWS, GCP or Azure)
• 3+ years developing BI solutions in Tableau or Power BI

Preferred Qualifications:

• Master's degree or higher in a quantitative discipline
• Experience with cloud data warehouses such as BigQuery, AlloyDB
• Prior domain knowledge of hydraulic fracturing or completions operations