Assistant -Data Science Engineer @ Talent Corner Hr

Job Description

We are looking for an experienced Data Science Engineer to build models and automated processes that help EG maximize its impact. This role will be instrumental in improving the predictive analytics capabilities of the team and enabling rapid course correction in program delivery. Efficient management and mining of primary and secondary data sources to enable timely and error-free reporting to our stakeholders. The position shall help grow data-driven decision making in the organization.

Key responsibilities: 

• Data Modeling & 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.
• Capture operational requirements, formulate the ML questions and liaise with IT vendor to implement the ML models.
• Prototype ideas, research and develop custom data/ML models and algorithms as required; test model quality through A/B testing.

 Data Engineering and Management

• 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/ Python/SQL technologies)
• Optimize data delivery and data management practices of EG.

Work Experience:

• Minimum 2 years of relevant work experience data analytics/data visualization/ data management
• Minimum 2-3 Years of SQL experience and demonstrated ability to design and analyze data in relational databases. Experience with PostgreSQL desirable.
• Minimum 1-2 years experience in data manipulation/cleaning using Python. Experience in Pandas and machine learning using Python is desirable.
• Experience in designing and developing dashboards.

• Technical skills:
  • Intermediate to advanced skills in SQL.
  • Basic to intermediate skills in Python and Linux.
  • Demonstrated experience in dashboard design & development.
  • Demonstrated analytical and assessment skills of quantitative and qualitative data.
  • Strong skills in data modelling and analysis.
  • Experience of machine learning.
  • Knowledge of statistical analysis software (such as Stata, SPSS) would be a bonus.

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Keyskills:   data engineering data modeling data analysis data visualization data management