Role and responsibilities:

• Understand business problems and requirements by building domain knowledge and translating them to data science problems.
• Conceptualize and design cutting-edge data science solutions to solve the data science problem, and apply design-thinking concepts.
• Identify the right algorithms, tech stack, and sample outputs required to efficiently adder the end need.
• Prototype and experiment with the solution to successfully demonstrate the value.
• Independently or with support from the team, execute the conceptualized solution as per plan by following project management guidelines.
• Present the results to internal and client stakeholders in an easy-to-understand manner with great storytelling, storyboarding, 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:

• Bachelor’s degree in Computer Science with 4+ years of work experience.
• Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, python, decision tree, random forest, SAS, and clustering classification.
• Ability to engage clients to understand business requirements and convert the same into technical/modeling problems for solution development.
• Demonstrate strong interpersonal skills and comfort interacting with clients from the C-suite to marketing managers to technical specialists.
• Demonstrated knowledge of analytical/statistical techniques and their applications; working knowledge of/experience in R and Python is a plus.
• Demonstrated excellent communication 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, and 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.
• The ideal candidate has been in a consulting role previously.
• Hands-on expertise in applied statistical techniques includinmultivariatete 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 modeling.
• Very high attention to detail and quality.