Principal Forward Deployed Data Scientist - Oil & Gas
Principal forward-deployed data scientist who deploys and validates machine-learning solutions for Houston-based oil and gas customers, proves business value, and translates customer needs into product improvements. Requires 7+ years of technical experience, advanced statistical expertise, customer-facing experience, and strong production ML skills.
About the job
Responsibilities
- Deploy production use cases with significant business impact and demonstrate definitive ROI.
- Benchmark NEXUS against client baselines such as XGBoost and LightGBM.
- Perform data engineering, feature engineering, preprocessing, model validation, and memory optimization.
- Collaborate with research and product teams to translate operational pain points and data anomalies into product roadmap inputs.
- Identify appropriate business problems, prevent data leakage, and support last-mile integration into VPC, on-premises, and air-gapped environments.
- Manage relationships with IT, C-suite, data science, sales, and solutions architecture stakeholders.
- Explain model predictions and architectural concepts in terms of business value.
Requirements
- PhD or master's degree in computer science, mathematics, or statistics, or equivalent statistical expertise.
- 7+ years of experience as a technical individual contributor in data science, machine learning, applied science, or ML engineering.
- Experience working directly with customers or business stakeholders in complex enterprise or industrial environments.
- Experience with Docker, orchestration, and performant APIs using FastAPI or Flask.
- Expertise across the end-to-end machine learning pipeline, including problem framing, preprocessing, algorithms, and validation strategies.
- Strong data-handling experience with PySpark and Pandas.
- Demonstrated experience optimizing models for specific business problems.
- Strong communication skills and the ability to translate technical architecture into business value.
Nice to Have
- PyTorch experience.
- Experience with cloud-native machine learning pipelines on AWS, Google Cloud, or Azure.
- Experience in oil and gas, energy, utilities, industrials, logistics, or heavy-asset environments.
- Experience as a Forward Deployed Engineer, Staff Engineer, Machine Learning Engineer, or Staff Data Scientist.
- Industry subject-matter expertise.
Compensation and Benefits
- Competitive compensation with salary and equity.
- Comprehensive medical, dental, and vision coverage for employees and dependents, plus a 401(k).
- Paid parental leave for all new parents, including adoptive and surrogate journeys.
- Relocation support for employees moving to an office location.
Skills
Python, Docker, FastAPI, Flask, Pyspark, pandas, Xgboost, Lightgbm, PyTorch, AWS, GCP, Azure, Data Engineering, Feature Engineering, Machine Learning
Similar jobs
Solutions Architecture jobs
SentiLink
United States
Advise senior financial-services prospects on fraud strategy, identity risk, operating models, and technology implementation. The role requires 10+ years in fraud or related risk domains, senior executive credibility, and strong consultative communication skills.
Crusoe
San Francisco, CA
Own the enterprise architecture for Crusoe’s internal business systems, defining unified data models, secure API-first integrations, governance standards, and AI-enabled system patterns. The role requires 10+ years of enterprise or solutions architecture experience and deep familiarity with a major ERP/Finance or Construction/Operations platform.
Snowflake
North CarolinaPrincipal Solutions Architect who designs and delivers Snowflake-centric AI/ML solutions, builds customer proof-of-concepts, and guides production deployments. Requires 5+ years in customer-facing technical roles, cloud and AI/ML platform expertise, and hands-on SQL plus programming experience.
Snowflake
New York, NY
Leads customer-facing architecture and go-to-market initiatives for banking and financial services, designing data- and AI-powered solutions and repeatable industry assets. Requires 10+ years of financial services architecture experience, strong SQL and Python skills, cloud expertise, and executive communication abilities.
PagerDuty
United States
Provides executive-level technical leadership for enterprise customers across the US, advising on digital operations, resilience, automation, and cloud transformation. The role requires 15+ years of technical leadership or architecture experience, deep expertise across multiple operations domains, and the ability to influence C-level stakeholders and complex sales cycles.