Description

You will build and deploy machine learning models to solve complex business challenges using real-world datasets.

This role is hybrid.

Responsibilities

• Acquire, clean, and process messy data from various sources for analysis and modeling.
• Perform exploratory data analysis (EDA) to identify patterns and formulate hypotheses.
• Develop, train, and evaluate statistical and machine learning models for prediction, classification, and forecasting.
• Collaborate with engineering and product teams to deploy models into production environments.
• Translate complex data findings into actionable business recommendations for stakeholders.

Required Skills

• 5+ years of experience in data science or related analytical roles.
• Proficiency in Python or R.
• Strong experience with SQL and Pandas for data manipulation.
• Proven ability to perform rigorous Exploratory Data Analysis (EDA).
• Experience with statistical modeling and machine learning development.
• Ability to translate business questions into well-defined data science problems.
• Familiarity with the model deployment lifecycle and production environments.
• Master's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.

Preferred Skills

• PhD in a quantitative field.
• Experience with Google Cloud Platform (GCP).
• Experience with TensorFlow or PyTorch.

Key Skills

Education

Master's degree