Junior Data Scientist

# Junior Data Scientist ## Company Overview ZAP is a leading company in the Fintech industry, focused on providing innovative solutions in consumer technology. Our culture promotes collaboration, growth, and a commitment to excellence. ## Job Summary The Junior Data Scientist will play a crucial role in building and deploying machine learning models, as well as developing APIs for those models. This position is vital in helping us make data-driven decisions that align with our organization's goals and enhance our product offerings. ## Responsibilities - Build and deploy **machine learning (ML) models** to solve complex business problems. - Develop and maintain APIs to facilitate the integration of ML models into the existing infrastructure. - Collaborate with cross-functional teams to understand data needs and deliver actionable insights. - Conduct data analysis using **Python** and **SQL** to support model development and validation. - Work with **Snowflake DB** to manage and extract insights from large datasets. ## Qualifications - **Technical Skills**: Proficient in Python, SQL, and Snowflake DB; strong understanding of machine learning algorithms and frameworks. - **Soft Skills**: Excellent analytical capabilities, problem-solving skills, and the ability to communicate complex concepts clearly. - **Educational Qualifications**: Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. - **Experience Requirements**: 1-3 years of experience in data science or related fields, preferably within the lending or fintech domains. ## Preferred Skills - Familiarity with consumer technology trends and best practices in the fintech industry. - Experience with data visualization tools and techniques. ## Experience 1-3 years of relevant experience in data science, particularly in model deployment and API development within the lending or fintech sectors. ## Environment This position is based in Bangalore, requiring a standard 5-day workweek with opportunities for collaboration and professional growth in a dynamic office environment. ## Salary The estimated salary range for this role is ₹15-16 LPA (Lakhs Per Annum).