Job Description :
Data Scientist/Senior Data Scientist
Lawrenceville, NJ / Dallas, US
Big Data / Advanced Analytics
4-10 Years Relevant Experience
Description:
Responsible for developing and executing Model refresh and metric creation in line with the objectives laid-down by business, using from different structured and unstructured data sources. Responsible for effectively deliver the projects within timeline and at desired quality level.

Role & Responsibilities
Participate in project discussion and make technical contributions in the discussion
- Perform Exploratory Data Analysis on existing Customer Model
- Identify opportunities for enhancement of the Customer Model
- Perform statistical association between the fields based on data
- Derive new clustering algorithms, new metrics better reflective of customer interests, algorithmically handling large numbers of user’s affinities
- Design improvement criteria metrics / statistical correlation metrics and improvement assessment models
- Deploy refreshed model into UAT environment
- Work with various teams to deploy into production environment
- Ability to "translate" complex mathematical and statistical concepts for non-technical audiences

Functional Skill Requirement
- 4-6 years experience in End to end Analytics & Modelling Experience
- Demonstrable knowledge of modelling (e.g. cluster analysis, decision trees, regression, propensity modelling, Bayesian) & Collaborative Filtering techniques
- Extremely strong hands on experiences with Churn Analytics, customer segmentation, Clustering, Multi-channel and cross channel Analytics, Bundling offer Analysis, Trend Analytics
- Basic understanding of Media & Information Services Business
- Well familiar with new concepts like Internet of thing, Machine Learning, Big Data
- Experience of working on big data problems, whether in industry or academia

Technical Skill Requirement
- Very Good Knowledge on one and more Statistical Tool like R/Python
- Hands on experience with Data extraction from Apache SPARK, SCALA, HIVE
- Solid hands-on experiences with Hadoop technology components such as HDFS, HBase, Cassandra, Kafa especially with Spark and Spark Streaming
- Familiar with programming concepts with C/C++ and Java.
- Very Good Knowledge on working with MS Office especially PowerPoint, Excel

Educational Background:
- Masters or PHD an advantage


Client : Nityo infotech

             

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