Lead - Applied Scientist - Analytics

Job Description :

- My Client started their journey back in the year 1973 in Bahrain with one store and over the period of time now it has grown into one of the largest Retail and Hospitality conglomerates in the parts of Middles East, Africa and India.

- They are an open door culture organization which has a lean Structure.

Role : Lead Applied Scientist / Applied Science Manager.

Requirement :

- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Econometrics or Physics

- At least 7+ years of experience in a Data Science related field

- At least one year of experience in people management role

- Strong hands-on experience in Machine Learning and Statistics focusing on structured and unstructured data problems is a must

- Prior experience in working with large data sets, with big data processing tools like Spark. Must possess data engineering skills to do pre-processing, cleaning, and transformations

- Practical experience in some of the following areas: Customer Churn, Customer lifetime value estimation, Product Recommendation, Ecommerce Analytics, Market Mix Modelling, Inventory Management, Supply Chain Optimization, Price Optimization etc.

- Excellent programming skills preferably in Python or Pyspark and SQL

- Understanding of deploying machine learning models on cloud services (Azure, AWS, GC etc.) will be an added advantage

- Advanced engineering abilities to deliver flexible and scalable end-to-end machine learning solutions

- Basic understanding of web application framework (Django, Flask, HTML, JavaScript, CSS, Ajax, jQuery etc.)

- Excellent written and verbal communication skills, confidence in presenting ideas and findings to stakeholders, and ability to do so at the right level of detail

- Strong sense of urgency and commitments. Candidate should be passionate about driving change and influence across organization

- Open to travel on need basis (upto to 20%)

Responsibilities :

- Lead Data Scientists and Data Engineers to drive product roadmap, innovation and build data-driven solutions to add lift to key performance metrics

- Investigate the feasibility of applying scientific principles and concepts to business problems

- Establish scalable, efficient, automated processes for large scale data analyses, solution development, model development, validation and implementation

- Work with engineering team and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models or algorithms in production

- Hire and develop top talent in machine learning and data science to accelerate the pace of data-driven decision making and innovation in the organization

- Clearly define project deliverables, timelines, measurement strategies and dependencies for the team and stakeholders. Examine, interpret and report results of analytical initiatives to stakeholders in leadership with a compelling and relevant story.

- Ideate and design POCs based on new ideas or technology, popularize new innovations in retail and analytics with internal/external stakeholders.

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