Description

You will build predictive models and extract actionable insights from complex datasets to drive business decisions.

This role is on-site.

Responsibilities

• Gather and clean large datasets from various sources, ensuring data quality and handling missing or corrupt information.
• Perform exploratory data analysis to uncover patterns, trends, and relationships using descriptive and inferential statistics.
• Develop, optimize, and deploy machine learning models including regression, classification, and clustering algorithms into production.
• Create data visualizations and reports using Tableau, Power BI, or custom dashboards to communicate findings to non-technical stakeholders.
• Collaborate with data engineers and business teams to translate project requirements into technical solutions.

Required Skills

• 5+ years of experience in data science, data analysis, machine learning, and statistical modeling.
• Proficiency in Python, R, and SQL.
• Experience with machine learning frameworks such as SciKit-Learn, TensorFlow, or PyTorch.
• Hands-on experience with data visualization tools including Tableau, Power BI, Matplotlib, or Seaborn.
• Bachelor's degree in Computer Science.

Preferred Skills

• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with big data tools like Hadoop or Spark.

Key Skills

Education

Bachelor's degree in Computer Science