Data Scientist – Python/Django – ZoomCar

Job Description

Responsibilities:

• Develop and deploy personalized algorithms to improve user experience, collaborating with cross-functional teams to integrate customized features into the platform.
• Work closely with product and business teams to devise data-driven solutions and statistical models.
• Participate in proof of concepts and experiments to demonstrate the value of machine learning in alignment with product requirements.
• Continuously monitor business and product metrics, adjusting existing models to adapt to changing market trends and requirements.
• Identify, analyze, and interpret trends or patterns within extensive and complex data sets.
• Utilize insights to generate actionable recommendations for enhancing product features and overall business strategies.
• Construct predictive models to anticipate user behaviors, demand, and market trends, optimizing pricing strategies, cataloging, and recommendations across various user touchpoints.
• Collaborate with engineering teams to deploy scalable and reproducible data science models.
• Define appropriate testing environments, including A/B testing methodologies, and establish precise metrics for tracking new features and product performance.
• Work with the analytics team to develop precise measurement frameworks for effective outcome evaluation.

Requirements:

• Bachelor’s/Master’s degree in Computer Science, Information Technology, Electronics (Circuit Branches), or related fields; Bachelors/Masters in Data Science/ML or similar stream.
• Proficiency in Python and SQL with hands-on experience.
• 2-5 years of experience in developing predictive models using statistical, machine learning, and deep learning algorithms.
• Ability to creatively solve complex business problems using data-driven solutions, with strong analytical and problem-solving skills.
• Familiarity with various databases and stream processing tools such as Kafka, queues.
• Proficient in Linux fundamentals and understanding of basic performance metrics like CPU, memory, and network latency.
• Hands-on experience with frameworks like Flask, FastAPI, Django, Numpy, pandas, etc.
• Knowledge of analytical tools like Tableau and Excel is an advantage.
• Familiarity with cloud-based solutions, preferably AWS, including lambda, SQS, EKS, etc.