Principal Data Scientist, 8-15Yrs, 35-70LPA, Bangalore; 3UIQNT/PrDATASc815Y3570LB/15FEB19
Location : Bangalore No of openings : 1
Please make sure candidate should qualify checklist written below:
Ques: Is the candidate willing as an Individual Contributor?
Ques: Does the candidate has rich experience in Statistical modeling, scoring models,response models,optimization,forecasting,segmentation, and machine learning? If yes please specify
Ques: Is the candidate from a Tier 1 Institute like IITs, Indian Institute of Science(IIS), Indian Statistical Institute(ISI)?
Ques: Does the candidate has Hands-on experience with python for building models , Clementine, IBM Data Miner, Oracle Data miner etc.? If yes please specify
Ques: Is the candidate a Full time MSC in Economics, Statistics, mathematics , PhD in Operations Research, Data Mining and/or related quantitative engineering field?
Client :
Leading data-driven digital marketing analytics and solutions company
Job Specifications
| Exp. | 8.0 - 15.0 Year(s) |
| Annual Fixed CTC | Min : 35.0 Lacs Max: 60.0 Lacs |
| Qualification | Any Graduation (only Full time) , Any Post Graduation (only Full time) |
| No of openings | 1 |
| Recommended keywords | Statistical modeling, scoring models,response models,optimization,forecasting,segmentation, machine learning |
| Working days | 5 days |
| Passport Requirement | Yes |
| Additional Comments | 1) Education has to be in Statistics/Economics or PhD in Operations Research, Applied Statistics, Data Mining and/or related quantitative engineering field, B.E Computer Science 2) Only Tier 1 institutes like ISI, IIT, IISc to be considered.3) Avoid candidates who are handling large teams as this role will not have large team handling responsibilities,we want candidates who are interested in an technical/SME kind of role. 4) Avoid people who are mainly doing analytics but calling themselves Data Scientist. |
| Edit Summary | null |
JOB DESCRIPTION- PRINCIPAL DATA SCIENTIST
RESPONSIBILITIES
1. Works independently or with a small team to solve complex problems and create
scalable models/algorithms that will be integrated into iQuanti's 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 to understand
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 the organization
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 Data Miner,
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
learning's 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. Master's Degree in Statistics/Economics or PhD in Operations Research, Applied
Statistics, Data Mining and/or related quantitative engineering field
2. 8-15 years of experience in building and implementing statistical model
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