Data Scientist

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AI Summary

Strategic Staffing Solutions is seeking a Data Scientist to partner with business teams, identify opportunities for applying data science solutions, and deliver data-driven products that create business value.

Key Highlights
Partners with business teams to identify opportunities for applying data science solutions
Delivers data-driven products that create business value
Identifies, prototypes, and builds advanced analytics and machine learning solutions
Key Responsibilities
Identify and frame opportunities to apply advanced analytics, modeling, and related technologies
Evaluate the business value of proposed data science solutions
Clean, prepare, and analyze data
Technical Skills Required
Python R Microsoft Azure Machine Learning Statistics Operations Research Data Mining
Benefits & Perks
Visa Sponsorship
Contract Opportunity
On-site work
Nice to Have
Generative AI
Agentic solutions

Job Description


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


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