Data Scientist III
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Job Description
REMOTE - PST
Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
Job Responsibilities:
Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.
Skills:
5+ Experience in Data Functions and Analytics
Strength in being able to analyze data, identify patterns and frame data-backed recommendations.
Proficiency in SQL or other relational database querying languages.
High experience in programming languages such as Python/R.
The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
Experience working with large datasets.
Preferred Skills:
Experimentation- AB Testing design and evaluation of AB testing results.
Big Tech work experience.
Experience with consumer-facing products and/or product analytics experiences is a plus.
Education/Experience:
Master of Science degree in computer science preferred
Statistic and Mathematics or Data Science Degrees preferred
REMOTE - PST
Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
Job Responsibilities:
Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.
Skills:
5+ Experience in Data Functions and Analytics
Strength in being able to analyze data, identify patterns and frame data-backed recommendations.
Proficiency in SQL or other relational database querying languages.
High experience in programming languages such as Python/R.
The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
Experience working with large datasets.
Preferred Skills:
Experimentation- AB Testing design and evaluation of AB testing results.
Big Tech work experience.
Experience with consumer-facing products and/or product analytics experiences is a plus.
Education/Experience:
Master of Science degree in computer science preferred
Statistic and Mathematics or Data Science Degrees preferred
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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