Position : Principal Data Scientist

Location : Bangalore / Bengaluru

Purpose :

Enterprise Analytics group is responsible for managing customer data, statistical modeling and advanced analytics requests from all the internal brands. The team is responsible to analyze and model structured data using advanced statistical methods and implement algorithms and software needed to develop solutions to business questions and present findings with actionable recommendations.

Responsibilities :

- Design & lead the development & deployment of solutions that leverage data sciences & advanced analytics to develop required business solutions

- Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analysis

- Mine multiple data sets through clustering & capture thematic trends

- Determine the significant relevance of new data sets to a business strategy and how to potentially integrate into existing investment strategies

- Query structured & unstructured data (from hybrid sources & platforms) and perform exploratory data analysis for further advanced modeling

- Present ideas and findings with actionable recommendations in an easily consumable manner

- Participate in peer reviews of projects & assist other analysts to process & synthesize multiple & large data sets

- Engage required stakeholders & communicate progress & challenges

Education :

- B.S. degree in Computer Science, Mathematics, Statistics

- M.S. or PH.D. in Computer Science, applied mathematics, statistics, physics, operations research, quantitative social sciences or related fields will be preferred

Skills / Experience :

- 10+ years of relevant experience in customer/marketing/merchandising advanced analytics role preferably in retail domain

- Strong understanding of computer technology with strong programming skills. Expert level proficiency in SAS, R, Python, SQL. Experience in optimization solvers like Gurobi will be preferred.

- In-depth knowledge of statistical procedures that are applied in segmentation, profiling, and data mining. Prior experience in machine learning techniques will be preferred.

- Track record of applying big data analysis to marketing and merchandizing ideas. Any experience in building machine learning algorithms will be preferred

- Experience in working with large relational databases (Teradata, Oracle) & Hadoop platforms (MapR, Manta, Aster, Hortonworks & others)

- Experience in mentoring a team of data scientists & building relevant capabilities

- Track record in managing deliveries of advanced analytical solutions in an agile & iterative model

- Strong written & verbal communication skills. Ability to communicate complicated statistical analytical concepts & solutions to business stakeholders in a simplified comprehendible manner

- Excellent presentation skills

Personal Characteristics :

- Unique individuals that are innovators

- Highly energized personality with a positive attitude and ability to work with minimal supervision,prioritize, multi task and work under tight timelines

- Organized and able to present ideas

- Strong Work Ethic. Assertive yet willing to work within a team and take on any task

Professional demeanour :

- Able to present, communicate, and is approachable by business executives

- Has self-reliance and uses good common sense

- Is able to build strong relationships and build out network with peers and data providers

Intellectually curious :

- Is able to identify and present obscure data that is unique and useful

- Genuinely interested in data and how data can drive returns

- Stays current with business results, strategies, industry standards and best practices especially in the field of data sciences & machine learning

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