Data Scientist - Analytics Firm

Hiring data scientist for a leading USA based analytics client

Key Responsibilities:

- Works independently or with a small team to create ascoring/core engine for the products

- Works directly with product management team & senior leadership to translate their vision into product features

- Will focus on creating output that is simple and easy for business users to understand and implement

- Leads analysts (as required) to deliver results and helps develop their analytical skillset

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

- Participates in industry forums to showcase the analytical depth of the organization

Required Skills:

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

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

- Hands-on experience with statistical and data mining tools such as SAS, SPSS, R, Clementine, IBM Data Miner, Oracle Data miner etc. is a must

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

- Experience with big data technologies such as Hadoop, MapReduce, Mahout, Hive etc.

- Fluency with at least one scripting language such as Python or PHP.

- Ability to passionately collaborate with various teams to learn from their experience and apply the learning's to the problems at hand

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

- Significant experience leading and implementing analytics delivery projects, from assessment, requirements gathering, project planning through delivery

Desired Skills:

- Knowledge of search and digital marketing is desirable

- Hands on experience in using clickstream data from tools like Google Analytics, Omniture, Webtrends etc. will be an added advantage

- Knowledge in extracting intelligence from unstructured data / semantic modeling is a must

Qualifications:

- Masters Degree in Statistics/Economics

- PhD in Operations Research, Applied Statistics, Data Mining and/or related quantitative engineering field

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