ML Data Scientist: Build Predictive Models & Insights

TechLife Columbus

Northern (KY)

Hybrid

USD 90,000 - 120,000

Full time

4 days ago
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Job summary

Revel IT is seeking a Data Scientist to join our enterprise analytics CoE, developing data-driven products and solutions. You will collaborate with data analysts and engineers to mine, clean, and transform data, build models, and deliver actionable insights across the organization.

You’ll report to the Director of Data Science and be willing to travel quarterly as needed, contributing to data visualization and storytelling that drives strategic decisions and value at scale.

Qualifications

  • 5+ years of data analytics experience.
  • Bachelor's Degree in Information Systems or equivalent.
  • Proficiency in Python, R, SQL.
  • Experience with ML methods like classifiers and regression.
  • Ability to transform data into actionable insights.

Responsibilities

  • Tell compelling data stories through visualizations.
  • Mine and clean data from diverse sources.
  • Apply machine learning to select features and build classifiers.
  • Preprocess structured and unstructured data.
  • Develop prediction systems and ML algorithms.
  • Present results clearly to stakeholders.
  • Collaborate with Business and IT teams.
  • Maintain data integrity and confidentiality.

Skills

Data Analytics
Machine Learning
Statistical Modeling
Python
SQL
Data Visualization
Communication
Problem Solving
Collaborative

Education

Bachelor's Degree in Information Systems or related

Tools

Python
R
SQL
Tableau
Power BI

Job description

Revel IT is seeking a Data Scientist to join our enterprise analytics CoE, developing data-driven products and solutions. You will collaborate with data analysts and engineers to mine, clean, and transform data, build models, and deliver actionable insights across the organization.

You’ll report to the Director of Data Science and be willing to travel quarterly as needed, contributing to data visualization and storytelling that drives strategic decisions and value at scale.

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