Position: Senior Data Scientist
Build and validate predictive models with advanced statistical and machine learning techniques and tools such as regression modeling, clustering, and deep neural networks·
Interpret and present modeling and analytical results to non-technical audience.·
Build tutorial and case studies on various statistical topics such as linear regression, time series analysis, design of experiments.·
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.
Support sales and marketing efforts with sound statistical analysis; execute ad-hoc analyses to meet the fast-changing market demands.·
Develop business requirements and appropriate statistical analysis/prototypes to meet critical business needs.·
Derive and develop new attributes/features for modeling to grow analytic products.·
Work on cross functional teams and collaborate with internal and external stakeholders.·
Promote big data innovations and analytic education.
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).
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).·
1 years of experience with Big Data tools (e.g. Hive, Impala, Spark)·
Experience with data visualization and business intelligence tools like Tableau·
Proven ability to quickly learn and apply new techniques.·
Excellent business writing, verbal communication, and presentation skills.
Proficiency in R and Python programming language.·
Proficiency in Python data analysis, model building and visualization libraries.·
Proficiency with SQL (e.g. Hive, Impala).·
Experience with Spark and MLlib is a plus.·
Experience with AWS/Cloud based deployment.·
Experience with script and shell programming is a plus.
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