• Principal Data Scientist - Python/Machine Learning Jobs in Bangalore,India

  • Nastech Consulting

Job Description:

RESPONSIBILITIES

1 Works independently or with a small team to solve complex problems and create scalable models/algorithms that will be integrated into iQuantis tools and products

2 Works directly with product managers & senior leadership to translate their vision into workable algorithms

3 Will focus on creating output that is simple and easy for business users tounderstand and implement

4 Leads junior data scientists (if required) to deliver results

5 Will communicate progress of projects from time to time to various stakeholders

6 Participates in industry forums to showcase the analytical depth of theorganization

DESIRED EXPERIENCE

1 Prior experience in building and rolling out scoring models, response models, optimization, forecasting, segmentation etc

2 Strong understanding of statistical modeling and its application to solving business problems

3 Hands-on experience with python for building models, Clementine, IBM DataMiner, Oracle Data miner etc is a must

4 Expertise in management of large data and understanding of data quality metrics

5 Hands-on experience with Python, big data technologies, tensor flow and other machine learning platforms

6 Ability to collaborate with various teams to learn from their experience and apply the learnings to the problems at hand

7 Great communication skills with the ability to clearly communicate data, context, and implications to business stakeholders and senior leaders

DESIRED SKILLS

1 Knowledge of search and digital marketing is desirable

2 Hands on experience in using web data will be an added advantage

3 Knowledge in extracting intelligence from semantic modeling is a must

DESIRED QUALIFICATIONS

1 Bachelor- s/Masters Degree in Engineering/Statistics or PhD in Data Science, Operations Research, Machine Learning,Applied Statistics, Data Mining and/or related quantitative engineering field

2 8-15 years of experience in building and implementing statistical models

Mandate Question




Ques Is the candidate willing to work as an Individual Contributor?

Ques Does the candidate has atleast 7-8 years of rich experience in Data science?

Ques What is the difference between Bagging and boosting? Which is used when? (Needs to be filled by the candidate )

Ques Is the candidate a Full time BTech, BSc or MSC in Statistics, Mathematics, PhD in Operations Research?

Ques If I want to use regularization method for feature selection, which regularization should I use and why? (Needs to be filled by the candidate )

Ques Does the candidate has rich experience in Statistical modeling, Text mining( most important) scoring models,response models,optimization,forecasting,segmentation, and machine learning? If yes please specify

Ques What problems autocorrelation / heteroskedasticity cause in a linear regression model? (Needs to be filled by the candidate )

Profile Summary:

Employment Type : Full Time
Salary : Not Mentioned
Deadline : 19th Feb 2020

Key Skills:

Company Profile:

Not Mentioned

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