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10/11 Ashish Badaya
Head - Analytics at Experian India Ltd

Views:4978 Applications:126 Rec. Actions:Recruiter Actions:122

Experian - Senior Data Scientist (7-12 yrs)

Mumbai/Navi Mumbai Job Code: 763001

Essential Duties and Responsibilities

- Problem solver with curious mindset with a high execution bias having relevant work experience in Data Science in retail banking domain.

- Data scientist with hands-on expertise in building and executing analytics modules on various technology platforms including big data technology platforms.

- Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.

- Own and complete work streams from business levers, domain know-how, and bias for execution and delivery.

- Be able to compile results from various work streams and be able to make coherent presentations to internal and external stakeholders.

- Experience in building or managing data products, high performer and problem solver.

- Applying best practices to manage solution implementations including code design and reviews

- Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver the proposed solution

Experience

- MS or PhD in Computer Science, Engineering, Mathematics, Statistics or a related field with solid exposure to Machine

- Learning and/or Advanced Analytics with 7+ years of experience in predictive analytics and exposure to big data analytics.

- MBAs with relevant data science skills will also be considered.

- Strong understanding of the financial domain. Desired domain expertise in credit Risk, telecom analytics, retail analytics.

- Strong coding skills in Python is a must, and in other languages like R and SQL, Hive Sql

- Hands-on experience with Python libraries - NumPy, Pandas, sklearn

- Hands-on knowledge of working with scalable platforms for processing large and/or complex multi-source datasets using Hive, Hadoop or Spark (PySpark) is a plus.

- Comfortable with working on Unix, Windows, and databases like Elastic Search and MongoDB

- Demonstrated the use of data optimization (Linear/Non-linear) to solve constrained business problems

Must have experience

- Sound knowledge of machine learning concepts. Illustrative machine learning methodologies are:

- Bagging, Boosting, Regularization, Online Learning, One Hot Encoder etc.

- Statistical modeling - CHAID, CART, Regressions, SVM, SVD etc.

- Experience on the text analytics stack - NLP, NLU, LDA, TF-IDF etc.

- Ability to communicate analytics-based insights to business stakeholders. Independent problem solver comfortable to work in an ambiguous solution space. Strong PPT Skills, Excel

- Demonstrated experience in delivering analytics projects in high-pressure environments

Women-friendly workplace:

Maternity and Paternity Benefits

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