Blue Ocean - Delivery Lead/Senior Manager/Consultant - Data Scientist

Key Responsibilities:

Designation: Senior Manager/Delivery Lead/Operation Manager - Data science/Advance Analytics

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 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

Responsibilities - 

- Interact with clients and internal stakeholders to capture business requirement

- Define project scope and deliverables that support business goals; collaborate with 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.

- Lead set of Data Scientists, Project Manager, Data Architect and Business Analyst

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

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

- Possess strong foundation and understanding on Statistical Modelling, Data Mining, Predictive Analytics, Machine Learning and Optimization.

- Manages professionals, setting goals and conducting performance reviews, contributes to the creation of the vision and measures of success for the function.

- Prepares presentations and proposals Manages data which supports operational and financial budgets.

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 Technology, Telco & ecommerce or Retail, CPG & BFSI

- Demonstrate 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

- 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

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

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

- Hands-on expertise on the applied statistical techniques including multi-variate 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

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

- Very high attention to detail and quality

Essential Requirements: Possess strong foundation and understanding on Statistical Modelling, Data Mining, Predictive Analytics, Machine Learning and Optimization.