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

Requirements

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

(ref:hirist.tech)

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