Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights from complex datasets.

Apply advanced algorithms and machine learning techniques to solve business problems and optimize processes.

Design and perform A/B testing to evaluate the impact of business initiatives and product changes.

Collaborate with cross-functional teams to understand business needs and requirements.

Assist in data preprocessing, feature engineering, and model evaluation to support data-driven decision-making.

Present analytical findings and insights in a clear, actionable manner to both technical and non-technical stakeholders

Functional Knowledge & Skills:

Strong programming skills in Python, R, or Scala.

Proficiency with data manipulation and analysis libraries such as Pandas, NumPy, and Scikit-learn.

Familiarity with SQL, databases, and data modeling.

Experience working with large-scale datasets or big data platforms is a plus.

Solid understanding of statistical methods and machine learning concepts (e.g., regression, classification, clustering, etc.).

Strong analytical thinking, problem-solving, and communication skills.

Education:

Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, or a related field.