Assistant Vice President

7 days ago


Gurgaon, Haryana, India Genpact Full time

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

We are inviting applications for the role of Assistant Vice President - Data Science Lead

You will be responsible to lead the team responsible to build and deliver ML models in product line.

Responsibilities

Understand the business requirements and priorities and work with business to identify high-impact and feasible roadmap areas for the team from time to time.

Own and deliver data science team, andbe in charge of the estimation and planning done by the team making sure that the dependencies are tracked accurately and results are produced in an efficient and timely manner. Also take care of regular feedback and performance appraisals.

Act as a technical guide to the team helping them in translating the business problems to the most appropriate mix of specific machine learning or data analysis tasks. 

Also be a mentor to the team members helping them with career planning and growth.

Act as an evangelist of best practices and the right tools in AI/ML. Proactively build an outstanding working environment where each individual brings out the best they can offer.

Whenever a new opportunity come, actively do talent planning and drive the hiring activities.

Qualifications we seek in you

Minimum Qualifications

You have an excellent academic background in statistics and machine learning. The typical candidate has a Bachelor's or Master's degree in Math, Statistics, Computer Science, Physics or such quantitative fields.

Relevant experience related to data science. You have worked on a variety of complex machine learning modelling problems, capturing a great deal of practical wisdom on how to apply these techniques to real world scenarios.

Relevant experience in a technical leadership position responsible for the output of a team.

Wide range of statistical and machine-learning tools under your belt. These include linear models for regression and classification, multi-level models, factor analysis & PCA, discriminant analysis, support vector machine, decision tree ensembles & bootstrap, neural networks, mixture models & clustering algorithms, and so on. You are proficient in at least one programming language commonly used for data analysis (like R/Python), and you are comfortable with SQL.

Preferred qualifications

Masters or Doctorate in relevant domain.

Previously worked on business analytics problems like customer churn, lifetime value estimation, targeted marketing, personalized offers, etc.

Experienced in crafting and analyzing A/B tests.



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