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Senior Data Scientist

Keywords / Skills : C/C++, Java, PHP, or Python
5 - 10 years
Posted: 20th Feb 2017

Banking/ Financial Services
IT/ Computers - Software
Business Analyst
Bachelors/ Degree
Posted On
20th Feb 2017
Job Description

Work in a team to define and execute data science solutions that address client use cases and business requirements
Define activities, scope, and timelines on data science projects
Deliver projects following our internal frameworks and best practices
Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies
Create statistical and machine learning models in multiple technologies using best-in-class data science approaches
Prepare and conduct presentations and client workshops, communicating past experiences in sales and speaking opportunities
Guide junior members of the delivery team during projects.

Bachelors, Masters or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, Data Science, or Operations Research)
8 years of related work and/or research experience in quantitative roles
In-depth knowledge in at least 2 of the following data science domains
o Text Mining / NLP
o Graph and Network Analysis
o Deep Learning
o Geospatial Analysis
o Signal Processing, Image, Video
o Predictive Modeling and Recommender Systems
Extensive knowledge of at least one open-source scientific or statistical programming language such as R or Python
Knowledge of enterprise statistical programming tools such as SAS, Matlab, STATA or SPSS is a plus
Fluency in SQL and good knowledge of relational databases
Passionate about asking and answering questions in large, distributed datasets
Candidates with experience with NoSQL data environments and tools such as Hadoop and/or Spark preferred
Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python

Key Skill(s)

About Company
Teradata delivers better business outcomes through technology-enabled solutions in the areas that matter most – from operational excellence and asset optimization, to customer experience and product innovation, to finance transformation and risk mitigation.
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