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Senior Data Scientist / Technical Analyst

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The Sr. Data Analyst will research, design, implement and validate algorithms to analyze diverse sources of data to achieve targeted outcomes. The role will provide expertise on mathematical concepts and machine learning for the broader analytics team and inspire the adoption of advanced analytics and data science.


Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets

Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others

Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes

Develop and deploy testing hypotheses and analyze test results, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights

Desire to participate in an “Open Source” learning environment where sharing, documenting, teaching, and collaborating with others is the culture

Basic Qualifications

5+ years relevant experience with a proven track record of leveraging analytics to drive significant business impact

Bachelor's degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field

Statistical knowledge and intuition - ideally utilized in A/B testing

Experience with distributed databases and query languages like Hive, Spark, Scala, or Pig

Programming experience with a scripting language such as Python, Perl, Java, or Ruby

Proficiency with a statistical analysis tool such as R or SAS

Relational, no-SQL, and/or columnar data experience required

Experience with SQL

Machine learning experience

Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations

Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum

Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels

Proven track record in meeting aggressive deadlines

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