Senior Data Scientist

Job#: 2081185

Job Description:

Senior Data Scientist

Type: Direct Hire

Location: Houston, Texas or Denver, Colorado

Schedule: Alternating, 1 week onsite and 1 week remote. (50% remote and 50% onsite)

Key accountabilities

• Lead the design, development, and implementation of AI/ML solutions for applications specific to oil and gas development and operations
• Architect end-to-end ML pipelines that address the full lifecycle of AI/ML solutions from ideation to production deployment, ensuring scalability and business impact.
• Collaborate with multi-functional teams including geologists, petroleum engineers, and operations staff to translate complex business problems into effective data-driven solutions
• Provide technical leadership across AI/ML projects, establishing best practices and mentoring junior team members to build organizational capability
• Drive MLOps best practices, including CI/CD pipelines, model monitoring, and automated retraining workflows.
• Spearhead research initiatives to solve complex business problems using statistics, ML, and foundation models, while serving as the SME in advanced ML techniques, educating partners on model capabilities and limitations.
• Identify high-impact AI opportunities, prioritizing initiatives that drive revenue growth and operational efficiency.
• Partner with Data Engineering to design scalable data pipelines for ML consumption to ensure real-time data integrations and develop model-serving architectures.
• Apply predictive modeling, LLMs, and deep learning to extract actionable insights from large-scale datasets.
• Leverage data science tools and techniques in analyzing large datasets that will enable development of custom models and algorithms to uncover insights, trends, and patterns in the data, which will be useful in availing informed courses of action.
• Responsible for the evaluation of analytics and machine learning technologies for use in the business and communicates findings to key partners through reports and presentations.
• Partners with other non-technical departments within the business to assist them in understanding how data science can benefit them and improve their effectiveness and performance.
• Stay ahead of cutting-edge AI advancements (e.g., Generative AI, reinforcement learning) and assess their business viability.

Essential Education & Experience

• A master's degree (PhD preferred) in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.
• 5+ years of experience in machine learning (supervised, unsupervised, and ensemble methods), natural language processing; deep learning experience is a bonus.
• 3+ years of experience developing and deploying machine learning models in production environments with demonstrable impact to the business
• Demonstrated expertise in Python and relevant data science/ML libraries including TensorFlow, PyTorch, scikit-learn, and pandas, and ability to create visualizations and apply persuasive story telling.
• Hands-on experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) and proficiency with industrial data platforms
• Proven track record of developing, scaling, and implementing models in customer facing environments.
• Solid understanding of statistical analysis, experimental design, and data preprocessing techniques for industrial applications
• Knowledge of DevOps practices and CI/CD pipelines for seamless ML model deployment in production environments
• Proven ability to design fault-tolerant ML systems with monitoring and automated retraining pipelines, along with model-serving and event-driven architectures
• Demonstrated ability to conduct rapid Proof of Concepts (POCs) using design thinking methodologies
• Exposure of modern ML libraries (Hugging Face Transformers, LangChain, LlamaIndex), Spark/PySpark for large-scale data processing

Nice to Have criteria

• Ability to lead others to draw conclusions from data and recommend actions.
• Ability to succeed in a fast-paced environment, deliver high quality performance on multiple, simultaneous strategic, value-added tasks and priorities.
• Relentless drive, determination, and self-learning ability.
• Highly organized and attentive to detail.

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.