eClerx - Service Delivery Lead - Predictive Analytics/Data Science Operations

Role: Service Delivery Lead - Data Science Operations

Job Description:

Summary: Ideal candidate will be having experience in managing multiple projects and teams contracted in area of providing analytics services including development of predictive models and reporting frameworks in some of these areas - cross-sell/ up-sell strategies, market segmentation, churn & CLV modeling or price optimization etc, using tools like SAS, R, Python

- Qualification: Masters in statistics, mathematics, economics, Engineering or MBA from a reputed institute

- Experience: 7+ years of experience in advanced analytics/ predictive modeling with at least 3 in managerial role. Candidate should have worked hands on in analytics in some of these areas - cross-sell / up-sell strategies, market segmentation, price optimization, time to event, survival analysis etc. and currently be in a managerial role

- Mandatory Skills:

- Ability to engage clients to understand business requirements and convert the same into technical/modeling problems for solution development

- Domain understanding of at least one preferably two verticals amongst Retail, Travel & ecommerce

- Demonstrate an ability to manage complex & multiple projects all running in parallel

- Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists

- Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in SAS, R, Python and/or SPSS is a plus

- Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English

- Ability to work in cross-functional teams to mobilize needed skills and resource to achieve project goals

- Ability to present results of statistical models in business language

- Domain understanding of at least one preferably two verticals amongst Retail, Travel & ecommerce

- Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus

- Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports

- Readiness to travel for client meetings & knowledge transfer sessions

- Preferred Skills

- Ability to manage specific tasks to completion with minimal direction

- An ideal candidate should have project management experience previously and preferably requiring extraction and processing of large amounts of data from the variety of sources

- Supply Chain, Campaign/Marcom management, and Sales lifecycle (lead, sales) experience would be plus

- Hands-on expertise on the applied statistical techniques including multivariate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, Natural Language processing, Network Optimization etc.

- Ability to collaborate with onsite colleagues in the US& UK

- Expert in handling large data, cleansing & preparation for modeling

- Very high attention to detail and quality

- Knowledge of VBA/ SQL (preferred)

- Responsibilities

- Interact with clients and internal stakeholders to capture business requirement

- Define project scope and deliverables that support business goals; collaborate with the delivery team and analytics practice lead to deliver projects

- Design analytical solution to client's problems, identify data requirements, develop plan and delivery results in a time-bound fashion in collaboration with direct and indirect teams

- Travel to client locations, as per the requirements, for scoping, reviews, workshops etc.

- Work with a wider team including account managers and practice lead to develop & execute account management strategy

- Identify training needs and collaborate with an internal department to continually augment and build skills in workforce to remain relevant to industry

- The incumbent will be responsible for performance evaluation, career planning for immediate team members

- Most importantly, the successful candidate will be a team player and collaborator within the eClerx community.