Bengaluru, Karnataka, India, India
May 30, 2024
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Responsibilities
- 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
- B. Tech. / BE - Computer, IT, Electronics (Circuit Branches) only, Bachelors/Masters in Data-Science/ML or in similar stream
- 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
