JOB DESCRIPTION :
PROFILE : Data Scientist
EXPERIENCE : 5 to 12 years
LOCATION : Bangalore, India
SALARY : Competitive.
MANDATORY SKILLS:
- Relevant Exp: 4.6 yrs – 12 yrs in Data Science or/and Analytics.
- Candidates willing to relocate in Bangalore are pretty welcome.
- Statistics and Economics background.
- Passed out before 2012.
- Experience with R and Python.
- Experience with any of the ML methods.
- Exp with visualization is nice to have.
- 4.6 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 preferable.
- Programming skills in Machine learning, NLP, Statistical Modelling, SAS, R, SQL and Python (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.
TECHNICAL COMPENTENCIES:
- 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.
Responsibilities:
- 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.
Interpersonal Expertise
- Ability to work with highly sensitive and confidential information
- Ability to be flexible with scope of work
- Ability to work independently.
Interested Candidates Kindly share your updated Cv at pooja.bisht@isourcecorp.com
Call – 7757060507.
Role- Associate Data Scientist
Exp- 2 to 6 Yrs
Salary- Competitve
Location- Bengaluru
MANDATORY SKILLS:
- 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
TECHNICAL COMPENTENCIES:
- 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
Responsibilities:
- 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
Interpersonal Expertise
- Ability to work with highly sensitive and confidential information
- Ability to be flexible with scope of work
- Ability to work independently
Call Me- 9765279069
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
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