Data Scientist

Key Responsibilities:

• Assist in building machine learning models, performing statistical analyses, and deriving insights from data.
• Write clean and efficient Python or R code for data preprocessing, analysis, and modeling, leveraging libraries like scikit-learn or TensorFlow.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies in datasets.
• Collaborate with team members and stakeholders to support business requirements and analytics objectives.
• Participate in model development tasks, including data preparation, feature engineering, and validation.
• Document work processes, ensuring transparency and reproducibility of analyses and models.
• Continuously learn and develop skills in new analytics tools and techniques.

Requirements:

• 2+ years of experience in data science or related fields, with exposure to promo analytics or media mix modeling.
• Proficiency in Python programming and basic familiarity with machine learning libraries such as pandas, numpy and scikit-learn.
• Strong understanding of foundational concepts in regression, classification, and basic statistics.
• Basic SQL skills for data manipulation and querying. •Good problem-solving skills with a willingness to learn and adapt.
• Effective communication skills to articulate findings clearly and concisely.
• Enthusiasm for working in collaborative environments and contributing to impactful projects