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