Senior Data Scientist

Job description

Overview

Senior Data Scientist role at Apex Systems.

Type: Direct Hire

Location: Houston, Texas or Denver, Colorado

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

Responsibilities

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

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

Qualifications

A master’s degree (PhD preferred) in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or 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 ML libraries including TensorFlow, PyTorch, scikit-learn, and pandas; ability to create visualizations and tell persuasive data stories

Hands-on experience with cloud computing platforms (AWS, Azure, GCP) 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 to modern ML libraries (Hugging Face Transformers, LangChain, LlamaIndex), Spark/PySpark for large-scale data processing

Nice to Have

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 tasks

Relentless drive, determination, and self-learning ability

Highly organized and attentive to detail

EEO Statement

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex, age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, disability, veteran status, or any other characteristic protected by law.

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Worksite address

houston, TX, 77246, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.