Principal Data Scientist - Research & Analytics Firm

• One of the leading research and analytics company is looking out for 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
• Critical Questions to be answered by candidates:
• 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: 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: Is the candidate willing as an Individual Contributor?

Ques: Is the candidate a Full time MSC in Economics, Statistics, mathematics, PhD in Operations Research, Data Mining and/or related quantitative engineering field?