Data Scientist

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING! This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below. “Beware of scams. S3 never asks for money during its onboarding process.” Job title: Data Scientist Location: Houston, TX 77002 Some on site work Contract Length: 8+ months This role partners with business teams to identify opportunities for applying data science solutions and delivering data-driven products that create business value. The position focuses on identifying, prototyping, and building advanced analytics and machine learning solutions to improve decision-making, workflows, and automation. Key Responsibilities • Identify and frame opportunities to apply advanced analytics, modeling, and related technologies • Evaluate the business value of proposed data science solutions • Identify required data sources and appropriate technologies to solve business challenges • Clean, prepare, and analyze data • Develop, test, and deploy machine learning and statistical models • Establish lifecycle management processes for models • Engage with business stakeholders to present outcomes and identify new opportunities • Provide technical mentoring in modeling, analytics technologies, and consulting practices Required Qualifications • Minimum 5 years of experience applying data science, machine learning, or AI to real-world problems • Strong background in advanced analytics, including machine learning, statistics, operations research, or data mining • Proficiency in Python and R • Working knowledge of Microsoft Azure and its ecosystem • Experience engaging with both business and technical stakeholders across multiple levels • Demonstrated ability to identify and apply data science solutions to improve workflows and decision-making • Experience in generative AI, including building agentic solutions • Working knowledge of midstream operations • Strong collaboration skills across functional and geographic teams • Bachelor’s or Master’s degree in Mathematics, Statistics, Operations Research, Data Science, Computer Science, Engineering, or related field