[NDK73] - Lead Data Scientist

[NDK73] - Lead Data Scientist

22 Dec
Analytics Vidhya

22 Dec

Analytics Vidhya


Job Description

Lead Data Scientist- Bangalore (7-10 Years of Experience )

Lead Data Scientist- Bangalore (7-10 Years of Experience ) A Client of Analytics Vidhya

multiple INR 15 - 21 LPA Experience : 7 - 10 YRS. Openings: 3


Job Description and Responsibilities:

5 years of experience with top-tier firms in big data analytics, management consulting, or comparable role in corporate settingFinancial Services domain experience preferred

5 years of experience with machine learning software

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

Good applied statistics skills, such as distributions, statistical testing, regression,


Hands-on predictive analytics experience with Python

In-depth knowledge of statistical software packages (e.g. SAS or R)

Experience with data visualization tools (e.g. Plotly, PowerBi, Tableau, Shiny)

Exposure to big data technologies such as Hadoop, R, and Java / MapReduce a plus

Exposure to NoSQL databases, such as MongoDB, Cassandra, HBase, DynamoDB a plus

Experience & Skills Required:

Comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs

Strong analytical and critical thinking skills

Self-motivated. Capable of working with little or no supervision

Strong written and verbal communication skills

Enjoy challenging and thought provoking work and have a strong desire to learn and progress

Ability to manage multiple tasks and requests

Must demonstrate a positive, team-focused attitude

Ability to react positively under pressure to meet tight deadlines

Good inter-personal skills combined with willingness to listen

Structured, disciplined approach to work, with attention to detail

Flexible able to meet changing requirements and priorities

Maintenance of up-to-date knowledge in the appropriate technical areas

Able to work in a global, multicultural environment

Min. Qualification:


Skills Required: bigdata, K-NN, machine learning, naive bayes, python

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