Data Scientist

About the role

Solves analytical problems using quantitative approaches through a combination of analytical, mathematical and technical skills. Researches, designs, implements and validates algorithms to analyze diverse sources of data to achieve project specific outcomes by leveraging statistical and predictive modeling concepts.

What you'll do

• Leverages data science methodology to solve business problems
• Creates individual algorithms using statistical methodologies through the use of statistical programming languages and tools
• Partners with domain experts to verify model capabilities
• Implements statistical techniques to clean, prepare and profile the data prior to deeper analysis
• Clearly articulates results, methodologies and learnings to stakeholder and peer group

What you need

• 5–9 years in data science & ai
• Machine learning
• SQL
• LLMs
• Python
• Pandas
• Scikit-learn
• Any graduate

Good to have

• Airflow
• Databricks
• Snowflake
• MLOps
• AWS
• Deep learning

What you get