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Associate Vice President - Analytics - IIT/IIM/ISB/XLRI (9-12 yrs)
Role Overview:
- Research, analyze, and present data as assigned.
- Develop statistical models in Python/R.
- Develop detailed codes for data preparation and model scoring to be used in production.
- Prepare detailed documentation of predictive models and make oral presentations to team lead.
- Assist in learning and development of new team members.
- Critically examine and deep dive into models.
- Identify and participate in continuous improvement initiatives.
Responsibilities -
- Complete understanding of the current state of affairs and problem statement
- Experience in data extraction and data manipulation in Python/R.
- Data analysis experience in identifying major trends, univariate and bi-variate analysis.
- Knowledge of time series algorithms like Exponential Smoothing, ARMA/ARIMA/S-ARIMA models. Additional knowledge involving multi variate time series model is preferred
- Understanding of SAS/R modules/libraries like forecast, t-series, fable etc
- Experience in data control and data automation.
- 5+ yrs of industry experience
- Ability to manage team size of at least 1-2 members
1. SQL and any one of R/Python/SAS and Power BI/Tableau
2. Project Management and Delivery
3. Data wrangling on large and complex databases
4. Experience maintaining ongoing processes
5. Analytical Experience
Good to have
1. Modelling Experience
2. Client Engagement Experience
Candidate Profile:
- Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
- 10+ years' experience, preferably in analytics
- Strong and in-depth understanding of statistical concepts
- Prior experience in managing and delivering on end to end projects
- Outstanding written and verbal communication skills
- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
- Is able to understand cross cultural differences and can work with clients across the globe
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