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