26/03 HR
HR Consulting Firm at Recruise India Consulting

Views:3206 Applications:140 Rec. Actions:Recruiter Actions:79

Senior Consultant/Manager - Data Science & Advanced Analytics (4-11 yrs)

Pune Job Code: 679311

MINIMUM QUALIFICATIONS & EXPERIENCE : 

- 4-11 years of rich experience in implementing Machine/Statistical Learning solutions to complex business problems at scale

- Rich experience in various Machine Learning techniques like Regression, Classification, Ensemble of Decision Trees (Bagging, Boosting, Random Forest etc.), Support Vector Machines, Artificial Neural Networks, Clustering, Dimension Reduction etc.

- Intermediate-level proficiency (coding, scripting and prototyping skills) in Python or R

DESIRED QUALIFICATIONS & EXPERIENCE:

- Bachelors/Master's degree in Computer Science OR Master's degree in Statistics/Economics/Business Economics/Econometrics/Operations Research

- Experience in implementing the advanced techniques/methods like Recommender Systems (Collaborative Filtering, Matrix Factorization etc.), Association Rule Learning, Convolutional Neural Network, Recurrent Neural Network, Natural Language Processing (NLP), Reinforcement Learning (RL), Time-series Analysis and Bayesian methods

- Experience in productionizing the machine learning models for analytics-based SaaS (Software as a Service) products

- Familiarity with A/B site testing and evaluation

- Expert-level proficiency (good coding, scripting and prototyping skills) in Python or R or both

- Fair understanding of distributed computing in clusters, especially using R/Python

- Knowledge and familiarity with the Big Data stack: Hadoop, Hive, Spark, Map Reduce and other Big Data tools and technologies

- Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, and AWS CLI)

- Understanding of database management systems like those of RDBMS, NoSQL, MongoDB etc.

- Knowledge of one or more domains: Telecommunication, Consumer Electronics, CPG, Online Media, BFSI, Healthcare, Logistics, Manufacturing etc.

Women-friendly workplace:

Maternity and Paternity Benefits

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