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15/02 Shivani
Associate Consultant Recruiter at Change Leaders

Views:482 Applications:81 Rec. Actions:Recruiter Actions:8

Data Scientist - Machine Learning (3-6 yrs)

Pune Job Code: 798145

Responsibilities

- Analyze raw data: assessing quality, cleansing, structuring for downstream processing

- Applies intellectual curiosity and deep analytical thinking to mine large data sets for hidden gems of insight and correlation.

- Design and implement high performance, accurate, scalable and robust analytical models in support of product and project objectives

- Evolve the approach for the application of machine learning/deep learning to existing program and project disciplines

- Collaborate with engineering team to bring analytical prototypes to production

- Work experience in TAX domain is plus

- Generate actionable insights for business improvements

- Lead development and implementation of scalable algorithmic solutions for real-time operations and information flow systems

- Ensure advanced agile standards are maintained in research, development, QA, and implementation phases

- Ensure excellence in delivery to internal and external customers

- Help establish standards in machine learning and statistical analysis to ensure consistency in quality across projects and teams and identify relevant process efficiencies

Required Skills & Competencies

- Advanced level proficiency with statistical, machine learning modelling techniques such as regression, decision trees, neural networks, support vector machines, supervised/unsupervised clustering techniques, experimental test design, etc.

- Expert theoretical knowledge of machine learning modelling techniques and advanced applied skills in developing predictive targeting models within distributed computing platforms such as Hadoop, AWS, Azure, GCP using one or more tools like Spark, Scala, SAS, R, Python, Bayesian, H2O, Storm, Yarn, Kafka

- Must have experience in statistical programming in R, Python, TensorFlow. SAS/SPSS/MATLAB are plus

- Experience in Text Analytics

- Experience working in a Unix/Linux environment for automating processes with shell scripting

- Superior analytical skill combined with business discipline. Ability to perform insightful and actionable quantitative and qualitative analysis of the business.

- Strong verbal and written communication skills coupled with demonstrated prior leadership within large teams

- SQL: Data Warehouse, Teradata SQL

- Big Data: Azure Storage, experience in any one flavor Cloudera/Hortonwork/MapR

- Reporting: Power BI, Excel

Women-friendly workplace:

Maternity and Paternity Benefits

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