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Data Scientist Intern

Data Scientist Intern

CI Web Group, Inc.Houston, TX, US
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Job Description

Job Description

About CI Web Group

CI Web Group is the leading provider of marketing and advertising for the home services industry. We partner with clients ranging from private equity firms and franchises to local contractors, helping them grow through cutting-edge digital marketing, automation, and analytics solutions.

The Role

We’re looking for a Data Scientist who is passionate about transforming data into meaningful insights that drive decision-making. In this role, you’ll design and build reporting systems, develop predictive models, and uncover market opportunities that help our clients succeed.

Responsibilities

  • Develop and maintain reporting dashboards to track KPIs and campaign performance.
  • Conduct in-depth analysis of buyer behavior in the HVAC, electrical, and plumbing industries.
  • Use geospatial data to identify regional trends and growth opportunities.
  • Build and deploy predictive models to forecast market demand and customer behavior.
  • Collaborate with engineering and marketing teams to integrate insights into strategy and product development.
  • Stay current with emerging trends in data science, analytics, and machine learning.

Qualifications

  • Proven experience with data analysis and statistical modeling.
  • Proficiency in SQL and at least one programming language (Python or R).
  • Familiarity with any of the following tools is a plus : Docker, Kubernetes, Supabase, PostgreSQL, PostGIS, ClickHouse, Airbyte, Airflow, MageAI, n8n, Dify, Langflow, Gemini, Claude Sonnet.
  • Experience with data visualization tools (Tableau, Power BI, etc.) preferred.
  • Strong problem-solving skills and the ability to work independently.
  • Passion for learning, innovation, and experimentation.
  • What We Offer

  • A dynamic and collaborative work environment.
  • The freedom to innovate and make a measurable impact.
  • Access to a modern and powerful data stack.
  • Competitive pay and potential for future full-time opportunities.
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