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09/08 Shradha Madali
Senior Consultant at SDNA Global

Views:734 Applications:98 Rec. Actions:Recruiter Actions:3

SDNA Global - Data Scientist (15-30 yrs)

Bangalore/Pune/Hyderabad/Chennai/Kolkata/Gurgaon/Gurugram Job Code: 1299520

Data Scientist

Looking for PHD candidates only, having experience in Data Science & Artificial Intelligence.

Industry Experience: Banking-Insurance / Retail / LiveScience/Consumer/Healthcare.

Primary responsibility:

- Advanced Analytics solution consulting to engage with business function

- Guiding client on analytics adoption & journey

- Conceptualize and drive development of analytics solutions

- Lead analytics consulting engagements

Skills :

- Hands On With Statistical Modeling, Data Prep, Soft Skills, Visualization Experience, Domain, Process Experience, R, Python, SAS, SQL, Data Scientist - BDA, Data Scientist - Consulting Secondary

Skills & Experience:

- Advanced analytics professional with commercial acumen

- Strong domain specific analytics experience in Retail or Banking or Telecom industries

- 6-15 years of analytics experience in analytics consulting & data science area

- Master's in Business Administration / Engineering / Statistics / Economics / Operations Research / Computer Science

- SQL, R, Python, SAS

Skills and Qualifications:

- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc . Excellence in at least one of these is highly desirable

- Great communication skills

- Experience with data visualization tools, such as D3.js, GGplot, etc.

- Proficiency in using query languages such as SQL, Hive, Pig

- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase

- Good applied statistics skills, such as distributions, statistical testing, regression, etc.

- Good scripting and programming skills

- Data-oriented personality with solid client-facing consultative skills

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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