Data Scientist

Paladin Consulting
The Woodlands, Texas, United StatesFull-timePosted Aug 25, 2026

About the role

Job Title: Data Scientist

Work Location: The Woodlands

Education/Experience Required: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field; 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline

Job Description:

This role will partner with business leaders to solve complex operational and strategic challenges through analytics, machine learning, data engineering, and AI-driven solutions.

The ideal candidate is a hands-on problem solver who can translate business needs into actionable insights and production-ready solutions.

This position requires a blend of technical expertise, business acumen, and strong communication skills, with ownership spanning the full lifecycle from data exploration and model development to deployment and adoption.

Responsibilities:

Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions

Develop, deploy, and maintain machine learning models and advanced analytics solutions

Design and build scalable data pipelines and data products

Perform data analysis, feature engineering, forecasting, and statistical modeling

Create dashboards, reports, and self-service analytics tools to support decision-making

Monitor, improve, and support production analytics solutions

Present findings and recommendations to both technical and non-technical audiences

Drive measurable business impact through data-driven insights and operational improvements

Collaborate with data engineers, analysts, and technology teams on enterprise initiatives

Skills & Qualifications:

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field

3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline

Strong proficiency in Python and SQL

Experience building and deploying production machine learning or analytics solutions

Experience developing and maintaining data pipelines

Strong knowledge of statistics, hypothesis testing, and model evaluation techniques

Experience communicating analytical findings to business stakeholders

Excellent problem-solving, analytical, and communication skills

Preferred Qualifications

Experience with Databricks, Spark, or PySpark

Experience with cloud platforms such as AWS or Azure

Experience with Tableau, Power BI, or other data visualization tools

Experience with modern data architectures and lakehouse environments

Experience developing AI-enabled applications

Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics

Responsibilities

  • Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions
  • Develop, deploy, and maintain machine learning models and advanced analytics solutions
  • Design and build scalable data pipelines and data products
  • Perform data analysis, feature engineering, forecasting, and statistical modeling
  • Create dashboards, reports, and self-service analytics tools to support decision-making
  • Monitor, improve, and support production analytics solutions
  • Present findings and recommendations to both technical and non-technical audiences
  • Drive measurable business impact through data-driven insights and operational improvements

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field
  • 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline
  • Strong proficiency in Python and SQL
  • Experience building and deploying production machine learning or analytics solutions
  • Experience developing and maintaining data pipelines
  • Strong knowledge of statistics, hypothesis testing, and model evaluation techniques
  • Experience communicating analytical findings to business stakeholders
  • Excellent problem-solving, analytical, and communication skills

Skills mentioned

PythonSQLMachine LearningData EngineeringData PipelinesFeature EngineeringModel EvaluationStatistical ModelingData VisualizationDatabricks

About Paladin Consulting

Paladin Consulting is a nationwide Talent Acquisition and Placement consulting firm. We connect Top Companies with Top Talent to create Win-Wins for both parties. At Paladin we put Tech Talent, Experienced Engineers and Business Pros in a position to succeed through a deep vetting of Clients and Opportunities to ensure that their needs align with your skills! We provide staffing solutions for: IT Projects Oil & Gas Projects Accounting projects For 30 years Paladin has partnered with top companies to understand their dynamic staffing issues and deploy resources that will efficiently meet business needs and perfectly fit the clients’ culture. Paladin has relationships with groups that share our values of Integrity, Service, and Community including TechServe Alliance, ASA, SIA, SIM, 6Stones - Catalyst for Hope, Ben Barber CTA IT Advisory board, DFW Texas Recruiter Network, SHRM, and AHA. Paladin Lines of Service: 1. Business Change Solutions 2. Accounting and Finance Staffing 3. Government Services - TS Cleared 4. Professional Staffing 5. Workforce Solutions 6. Technology Services For 30 years we have provided jobs for Information Technology & Engineering Talent across the spectrum of changing industries: Oil & Gas Jobs Retail Technology Jobs eCommerce Projects Healthcare Technology Jobs OEM Project Staffing Defense & Cleared Jobs Paladin Consulting is a leading Staffing and Recruiting provider based in Dallas. We have been staffing and recruiting talent for Fortune 500 companies for 30 years. Talk with us today about staffing and recruiting opportunities. We always welcome great recruiters and partner with staffing service providers to make sure our clients get the talent they need... and quick!

Staffing and Recruiting1,001-5,000 employeesDallas, Texas