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