Job Summary
Location
Karnataka,Bangalore
Experience
12 - 16 years
Skills
• Software Engineer,
• Computer Programmers, Other,
Data Entry Machine Operator,
• Computer Programmer
Last Date to Apply
18 Mar 2021
 
Data Scientist
Mindtree Limited
Posted on: 17 Jan 2021
Job Description

Job Description :

As part of the Innovation team for one of our large non-profit clients, we are looking to augment our data sciences team , with an experienced data Scientist. This is someone who use existing datasets to train, test & execute predictive models and use advanced analytics to help solve medium complexity business problems. The data scientist is expected to use advanced techniques that integrate traditional and non-traditional datasets to build analytical solutions. This data scientist will apply tools and techniques in predictive analytics, machine learning, and optimization techniques to generate insights, discover patterns and help optimize business processes /functions.
Mandatory skills :
  • Strong expertise in R - at least 3 years
  • Solid knowledge in statistics
  • Hands-on experience building predictive models using machine learning and AI.

Qualifications
  • Post graduate or PhD with at least 2+ years of data science expertise
  • Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Strong algorithmic problem solving and software development skills (R, Python, or similar)
  • Demonstrated capability to develop proof-of-concept prototypes for experimenting with novel algorithms
  • Demonstrated experience and accomplishments in the use of data mining, machine learning, and predictive analytics to address real-life problems.
  • Past experience in analyzing large scale data and distributed algorithms
  • Excellent analytical, communication (both verbal and written), interpersonal, and organizational skills.
  • Must be able to communicate effectively and clearly present technical approaches and findings.
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