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24/03 Soniya Kagada
Consultant at Antal International

Views:129 Applications:42 Rec. Actions:Recruiter Actions:0

Lead/Manager - Applied Scientist/Analytics - KPO (7-12 yrs)

Bangalore Job Code: 906425

Job Title: Lead Applied Scientist / Applied Science Manager

Who are we looking for:

- 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%)

Your Key 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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Women-friendly workplace:

Maternity and Paternity Benefits

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