Roles & Responsibilities:
- Assist in formulating business problems into data science projects
- Utilize company data to build basic solutions using statistical and machine learning
techniques - Support the design of appropriate approaches to solve business problems, with
guidance from senior team members - Help identify suitable evaluation metrics for data science solutions
- Assist in answering questions using basic analytics and data exploration
- Participate in the development of scalable machine learning pipelines
- Perform exploratory data analysis to uncover insights, with supervision
- Contribute to the design and execution of experiments for hypothesis testing
REQUIRED EDUCATION, KNOWLEDGE, AND SKILLS
- Bachelor degree in a quantitative field (e.g., Computer Science, Statistics,
Mathematics, Engineering) - 0-2 years of experience in a data science, machine learning, or related role
- Proficiency in Python data stack libraries (e.g., NumPy, Pandas, Scikit-learn)
- Familiarity with SQL and relational databases
- Strong analytical and problem-solving skills
- Ability to communicate technical concepts to team members
- Interest in learning advanced data science and machine learning techniques