Description

You will build and optimize machine learning models to drive business decisions from large structured and unstructured datasets.

This role is remote.

Responsibilities

• Extract, clean, and analyze large datasets while performing feature engineering and data preprocessing.
• Design, build, and optimize machine learning models including classification, regression, and clustering.
• Develop clear data stories and present insights to technical and non-technical stakeholders.
• Build dashboards and visualizations using Power BI or Tableau to highlight key trends.
• Collaborate with cross-functional teams to define problems, iterate on solutions, and ensure data integrity.

Required Skills

• 5+ years of experience in data science, analytics, or machine learning.
• Strong proficiency in Python or R and SQL.
• Hands-on experience building ML models with a strong foundation in statistics, probability, and linear algebra.
• Experience with data wrangling, preprocessing, and large dataset analysis.
• Proficiency with data visualization tools such as Power BI, Tableau, or matplotlib.
• Bachelor’s degree in Computer Science, Information Systems, or related field.
• Strong communication skills with the ability to present complex insights clearly.

Preferred Skills

• Experience with big data tools like Hive, Pig, or Spark.
• Familiarity with Scala, Java, or C++ and strong software engineering fundamentals.
• Experience working in regulated environments such as healthcare or insurance.

Key Skills

Education

Bachelor's degree