What you'll do:

• Develop and implement personification algorithms to enhance user experience, collaborate with cross-functional teams to integrate personalised features into the platform
• Work closely with product and business teams to devise the data-driven solutions and statistical models
• Collaborate on proof of concepts and experiments to showcase the value that machine learning can contribute, aligning with product requirements
• Constantly monitor the business and product metrics and fine-tune the existing models according the changing market trends and needs
• Recognise, assess, and interpret trends or patterns within extensive and complex data sets.
• Utilise these insights to generate actionable recommendations for the improvement and advancement of both product features and overall business strategies
• Build predictive models to forecast user behaviors, demand, and market trends. Implement models to optimize pricing strategies, cateloguing and recommendations on different touch points of the user journey
• Collaborate with engineering teams to deploy scalable and reproducible data science models
• Define appropriate testing environments, including A/B testing methodologies, and establish accurate metrics for tracking new features and product performance.
• Collaborate with the analytics team to construct precise measurement frameworks to evaluate outcomes effectively

What makes you a great fit:

• Strong hands-on working experience in Python and SQL
• 2-4 years of experience in developing predictive models through the application of statistical, machine learning, and deep learning algorithms
• Ability to think creatively to solve complex business problems using data driven solutions, should have good problem solving and strong analytical skills
• Fair understanding of different databases, stream processing tools - kafka, queues
• Well versed with Linux fundamentals and should be able to understand basic performance metrics such as CPU, memory and network latency
• Hands on experience with frameworks like flask, fastAPI, django, numpy, pandas etc
• Familiarity with analytical tools such as tableau, excel is an added advantage
• Knowledge of cloud based(preferably AWS) solutions such as lamda, SQS, EKS etc