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I need Senior Data Scientist

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Position: Senior Data Scientist
Job Description:
 
Essential Functions·   
Build and validate predictive models with advanced statistical and machine learning techniques and tools such as regression modeling, clustering, and deep neural networks
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Interpret and present modeling and analytical results to non-technical audience.
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Build tutorial and case studies on various statistical topics such as linear regression, time series analysis, design of experiments.
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Conduct transaction data analyses with Hadoop/Spark and big data tools for internal and external product owners and develop deeper insights into the products using advanced statistical and machine learning methods.
 

Secondary Responsibilities
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Support sales and marketing efforts with sound statistical analysis; execute ad-hoc analyses to meet the fast-changing market demands.
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Develop business requirements and appropriate statistical analysis/prototypes to meet critical business needs.
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Derive and develop new attributes/features for modeling to grow analytic products.
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Work on cross functional teams and collaborate with internal and external stakeholders.
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Promote big data innovations and analytic education.
 

Qualifications

Basic Qualifications
·        4 years of work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters). 

Preferred Qualifications
·       
 
5-7 years of work experience and a Bachelor’s Degree or 2-3 years of work experience with an Advanced Degree (e.g. Masters).
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1 years of experience with Big Data tools (e.g. Hive, Impala, Spark)
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Experience with data visualization and business intelligence tools like Tableau
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Proven ability to quickly learn and apply new techniques.
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Excellent business writing, verbal communication, and presentation skills.
 

Technical Qualifications
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Proficiency in R and Python programming language.
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Proficiency in Python data analysis, model building and visualization libraries.
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Proficiency with SQL (e.g. Hive, Impala).
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Experience with Spark and MLlib is a plus.
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Experience with AWS/Cloud based deployment.
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Experience with script and shell programming is a plus.