Job ID
IESEN00116
Job Title
Data Scientist
Profile
Sr. Associate (Senior Associate DSG JD)
Priority
High
No.of Positions
4
Experience Required
3 to 4 years
Location
Work from Home at least for 2 years
Package
NEGOTIABLE
To Join by
At the earliest
Key Skills
DS Modelling, Statistics, Python, SQL.
Education requirement: B. Tech/BE or MSc or MBA or MTech in Stats, Economics, Mathematics, Finance or any other quantitative discipline
Education requirement: B. Tech/BE or MSc or MBA or MTech in Stats, Economics, Mathematics, Finance or any other quantitative discipline
Job Description
Primary Role:
-------------------
• Substantial hands-on experience with data handling. Capable of managing large volumes of data,
extract, clean and comprehend
• Able to analyze data independently and draw out salient insights. Able to define workflow for oneself and
Associates on a daily or periodic basis, contingent on the requirements of the project
• Able to contribute meaningfully to brainstorming discussions around nuances of the project
• Comfortable with statistical procedures, such as basic distributions, regressions, logistic models
• Experience with advanced statistics and Machine Learning algorithms is a plus
• Developing comprehensible analytical solutions to solve business problems using domain knowledge or
statistical procedures depending on the requirements of the project
• Comfortable in representing the proceedings and/or findings in a power-point
• Comfortable in mentoring junior resources, and creating an environment of learning in the team
• Helping the company with Business Development initiatives such as sales collaterals, PoCs, Case
Studies
• Develop and define an area of expertise and take relevant trainings on the same for the organization
• Contribute to org level activities, such as taking interviews
Competences:
-----------------
Relevant analytics experience in Retail, e-commerce, Telecom, or any other domain
Technical Capabilities:
o SQL
o MSFT PowerPoint
o Excel
o Statistical Packages – R and/or Python – Mandate; PySpark, Scala is a plus
o Statistical Modelling and/or Machine Learning, Deep Learning
o Big Data Environments such as Hadoop, Hive, etc.
o Any credentials from IITs and NITs are good to have on the resume
-------------------
• Substantial hands-on experience with data handling. Capable of managing large volumes of data,
extract, clean and comprehend
• Able to analyze data independently and draw out salient insights. Able to define workflow for oneself and
Associates on a daily or periodic basis, contingent on the requirements of the project
• Able to contribute meaningfully to brainstorming discussions around nuances of the project
• Comfortable with statistical procedures, such as basic distributions, regressions, logistic models
• Experience with advanced statistics and Machine Learning algorithms is a plus
• Developing comprehensible analytical solutions to solve business problems using domain knowledge or
statistical procedures depending on the requirements of the project
• Comfortable in representing the proceedings and/or findings in a power-point
• Comfortable in mentoring junior resources, and creating an environment of learning in the team
• Helping the company with Business Development initiatives such as sales collaterals, PoCs, Case
Studies
• Develop and define an area of expertise and take relevant trainings on the same for the organization
• Contribute to org level activities, such as taking interviews
Competences:
-----------------
Relevant analytics experience in Retail, e-commerce, Telecom, or any other domain
Technical Capabilities:
o SQL
o MSFT PowerPoint
o Excel
o Statistical Packages – R and/or Python – Mandate; PySpark, Scala is a plus
o Statistical Modelling and/or Machine Learning, Deep Learning
o Big Data Environments such as Hadoop, Hive, etc.
o Any credentials from IITs and NITs are good to have on the resume
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