Senior Process Manager

 Senior Process Manager Role and responsibilities: 

• Understand business problem and requirements by building domain knowledge and translate to data science problem.
• Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts.
• Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need.
• Prototype and experiment the solution to successfully demonstrate the value.
• Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines.
• Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization.
• Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives.

Technical and Functional Skills: 

• Bachelors degree in Computer Science with 7 to 10 years of work experience.
• Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification.
• Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development.
• 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 R and Python 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 present results of statistical models in business language.
• Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate).
• 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.
• Ability to manage specific tasks to completion with minimal direction.
• Ideal candidate has been in a consulting role previously.
• Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc.
• Ability to collaborate with onsite colleagues in the US & UK.
• Expert in handling large data, cleansing & preparation for modelling.
• Very high attention to detail and quality.