Experience
5 - 8 yrs
Salary (CTC)
₹1,060,000 - ₹1,540,000
Job Location
Mumbai, India
Vacancy
1
Designation
Data Science Engineer
Job Type
ONSITE
Job Description
The Data Science Engineer is expected to lead the data science and engineering team help EG maximise its impact by leveraging data and technology. This role entails both individual contribution as well as team management. This role is instrumental in improving the predictive analytics capabilities of the team and enabling rapid courses. This document reflects the job content at the time of designing the job description and will be subject to periodic change in the light of changing operational and environmental requirements. Such changes will be incorporated in the job description on annual basis correction in program delivery by building models and automated processes. Efficient management and mining of primary and secondary data sources to enable timely and error-free reporting to our stakeholders will also be a key responsibility of this role. This role will help grow data-driven decision making in the organization.
In this role, you will be responsible for:
Areas of Responsibility:
o Data Modelling & Analysis Interpret data and analyze results and trends, using statistical techniques where
appropriate.
Develop comprehensive dashboards to monitor performance & quality of program delivery.
Leverage predictive modeling to optimize targeting, improve program delivery, increase the pace of course correction, and more.
Our Core Values : Integrity | Collaboration | Gender Equality | Empathy | Excellence
Capture operational requirements, formulate the ML questions and liaise with IT vendor
Prototype ideas, research and develop custom data/ML models and algorithms as required; test model quality through A/B testing.
o Data Engineering Build efficient and well documented methods for easy, repeatable extraction, cleaning
and validation of data from primary and secondary data sources.
Build automated data pipelines & add data sources as required. Automate manual processes; build the infrastructure necessary for optimal extraction,
transformation, and loading of data (from a variety of sources leveraging Azure/AWS/
Optimize data delivery and data management practices of EG.
o People Management Lead the data science and engineering team. Strive for excellence in performance of both self and team. Prepare questionnaire/assessment and conduct interviews to hire consultants and/or
employees in data related roles for the QAMIS team or other teams.
Minimum is a Bachelor s Degree in a relevant data science field or a related field of study. A
Masters Degree in Science/Engineering/Management is desirable.
Minimum 5 years of relevant work experience data analytics/data visualization/ data management
Minimum 3-5 Years of SQL experience and demonstrated ability to design and analyze data in relational databases. Experience with PostgreSQL desirable.
Minimum 3-5 years experience in data manipulation/cleaning using Python. Experience in Pandas and machine learning using Python is desirable.
o Excellent communication skills o Critical & analytical thinking o Target driven
o Interpersonal skills
Technical skills: o Intermediate to advanced skills in SQL.
o Basic to intermediate skills in Python and Linux.
o Demonstrated experience in dashboard design & development.
o Demonstrated analytical and assessment skills of quantitative and qualitative data.
o Strong skills in data modelling and analysis.
o Knowledge of statistical analysis software (such as Stata, SPSS) would be a bonus.
o Experience in version control using github.
o Good to have experience in AWS EC2, S3, Lambda, API Gateway etc.
Willingness to travel up to 25% of the time at the State/district level in program geographies
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