Description

You will solve complex data analytics challenges by collecting, cleaning, and interpreting large datasets to drive organizational decisions. You will own the end-to-end data science lifecycle, from model development to stakeholder communication.

Responsibilities

• Develop complex mathematical models that integrate business rules and requirements.
• Build, train, and deploy machine learning models for production use.
• Automate and integrate data processes to improve efficiency and reliability.
• Research and implement solutions for emerging data analytics challenges.
• Communicate complex technical findings to engineers, IT teams, and non-technical stakeholders through verbal and visual methods.

Required Skills

• 5+ years of industry experience in data science.
• MSc or PhD in applied mathematics, statistics, or related quantitative field.
• Advanced coursework in machine learning and programming.
• Proficiency in writing and applying algorithms.
• Strong foundation in statistics, multivariable calculus, and linear algebra.
• Experience with data querying languages and statistical or mathematical software.
• Hands-on experience with data visualization tools.
• Ability to perform data analytics and interpret large volumes of data.

Key Skills

Education

Any Graduate