Senior Data Scientist

Location: Bangalore

Experience: 5 to 10 years

Salary: Competitive

Mandatory skills:

• 5 years experience in a relevant Data Scientist role.
• Prior experience in Revenue Management/ Pricing/Media/ Social Media.
• Consumer goods FMCG/retail industry/ e-commerce domain experience is a MUST.
• Python, NLP, Predictive Analytics, Machine Learning, R, Statistical modeling, SQL.
• 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.

Technical competencies:

• 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 (turnaround 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.

 Responsibilities:

• Suggested new products in to market and finding out the best combination of products lineto 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.

Interested Candidate can drop their updated CV at sangden.sherpa@isourcecorp.com

7755901232