Chat

iimjobs

jobseeker Logo
Now Apply on the Go!
Download iimjobs Jobseeker App and get a seamless experience for your job-hunting
26/09 Abhishek JP
Managing Director at Search Light Consulting

Views:4821 Applications:265 Rec. Actions:Recruiter Actions:12

Vice President - Analytics & Machine Learning - eCommerce - IIT/IIM/FMS/ISB (10-18 yrs)

Bangalore Job Code: 747955

Will lead a team of Research Scientists and Business Analysts to :

a) Define an agenda for how to apply cutting-edge machine learning techniques to solve customer issues and reduce associate effort

b) Develop new opportunities where we can leverage machine learning to improve our current interventions around defect prevention/reduction and abuse handling and

c) Deliver business insights which help drive improvement in our defect metrics and drive customer satisfaction across India.

- You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives.

- You will partner closely with product and technology teams (within Customer Service and across partner teams) to define and build innovative and delightful experiences for customers.

- You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive product development at speed.

- The ideal candidate will be an expert in the areas of research science, machine learning and statistics, having hands-on experience with multiple improvement initiatives as well as balancing technical and business judgment to make the right decisions about technology, models and methodologies.

- They will own the insights that drive the roadmap for all self-service, and automation products for the post-order Customer Experience.

- You will lead high visibility and high impact programs collaborating with various teams across.

Responsibilities :

- Lead the Machine Learning & Analytics function for India Customer Service

- Frame business problems into scalable solutions by leveraging the state-of-the-art machine learning and related technologies

- Deliver scalable causal models for decision-making across diverse innovation products and help integrate them into production systems

- Champion a culture of innovation, scientific rigor, data-driven decision making, and operational efficiency in the organization.

- Hire, grow, mentor, and work with a strong team of collaborators, with backgrounds in economics, statistics, computer science, in keeping with the high bar

Basic Qualifications :

- MS in Computer Science, Machine Learning, Statistics or in another highly quantitative field

- 10+ years of hands on experience in predictive modeling and analysis

- Proficiency working with R, MATLAB, Python and other high-level languages like Java/C++

- Proven track record of taking ownership and successfully delivering results in a fast-paced, dynamic environment

- Experience working with common business intelligence tools (Tableau),

- Experience leading teams to deliver projects on tight deadlines

Preferred Qualifications :

- MBA from a tier 1 Business School like IIM, FMS, ISB, etc

- Strong fundamentals in problem solving, algorithm design and complexity analysis

- Experience in causal inference, machine learning, and statistics

- Algorithm and model development experience for large-scale applications

- Experience building machine learning platforms

- Experience writing production quality code Python and other high-level languages like Java/C++

- Professional traits that are not unique to this position, but necessary for leaders: Exhibits excellent judgment; Has relentlessly high standards; Thinks strategically, but stays on top of tactical execution; Expects and requires innovation of her/his team; Thinks big and has convictions; Results oriented; Has the innate ability to inspire passion in others

- Excellent communication skills, both written and oral with both technical and business people. Ability to speak at a level appropriate for the audience. Experience applying these skills in both academic teaching environment and a business setting is a plus.

Interested candidates can call us @ 040-40101210/11.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

Add a note
Something suspicious? Report this job posting.