Role- Associate Data Scientist

Exp- 2 to 6 Yrs

Salary- Competitve

Location- Bengaluru

• 2 -6 years experience as Analyst/Data Analyst/Data Scientist 
• Prior experience in Revenue Management/ Pricing/Media/ Social Media
• Consumer goods FMCG/retail industry/ e-commerce domain experience is a MUST
• Programming skills in Machine learning, NLP, Statistical Modelling, SAS, R, SQL and Python, Forecasting Methods (as needed)
• Extensive experience solving business problems using quantitative approaches. Comfort with extracting, manipulating and analyzing complex, high volume, high dimensionality data from varying sources“
• Proficient in analytic tools like SAS, SPSS and R

• Proficient in Advanced MS Excel (Pivots, calculated fields, Conditional formatting, charts, dropdown lists etc.), MS PowerPoint and MS Access
• Familiarity with relational databases RDBMS and intermediate level knowledge of SQL, and VBA coding, Excel Macros etc
• Experience working with large data sets

Behavioral Competencies

• Ability to manage conformity to established procedures & processes
• Comfortable in handling large volume of data
• Ability to work under pressure and have flexible working hours.
• Excellent communication skills
• Excellent in driving strong relationships with stakeholders
• Highly results focused
• Strong passion for data driven research for answering hard questions with data. Flexible analytic approach that allows for results at varying levels of precision.
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
• Timeline Definition for Ad-hoc Requests
• Responsible for Time Estimation (for completion of request) and Timeline Definition for every approved Request
• Responsible for Execution of Ad-hoc Requests (including data extraction and preparation)
•  Resolve by self or escalate to the Revenue Management Analytics Lead, any issues which may arise to ensure minimum TAT (turn around time)
• Present data and reports in an easy to ‘read and comprehend’ manner
• Proactively get reports/analysis validated by the Revenue Management Analytics Lead or Zone Director Analytics (if required) and incorporate feedback provided
• Responsible for sharing of reports/analysis/updated models with the request generator

• Suggested new products in to market and finding out the best combination of products line to maximizing the reach of consumers and market-share by analysis and to fix the price of the products
• Conducted consumer research, in-market studies and retail landscape evaluation to develop predictive models as part of a concentrated effort to improve customer reach and product placement.
• Create a model incorporating social media data into customer analytics. Developed a market test to determine pricing elasticity of various product offerings and collaborated with large cross-functional team to roll-out price changes
• Developed Statistical Techniques like Factor, Cluster, Regression analysis and come up with insights

• Ability to work with highly sensitive and confidential information
• Ability to be flexible with scope of work
• Ability to work independently