Overview
Contract - W2
Skills
Marketing
ADS
Statistics
Machine Learning (ML)
Data Modeling
Mathematics
Product Optimization
Analytical Skill
Algorithms
Extraction
Prototyping
Business Intelligence
Customer Service
Dashboard
Data Analysis
SQL
Apache Hive
API
Programming Languages
Python
R
Big Data
Apache Hadoop
Data Visualization
Tableau
Writing
Science
Computer Science
Job Details
Job Description
REMOTE - prefer EST
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:
Experience with building data pipelines
Role will be even more focused on SQL than our other recent req, building pipelines and hive tables.
Role will work close with DE partners to integrate new metrics into bigger pipelines and API
Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
Experience working with large datasets.
Education/Experience:
Master of Science degree in computer science or in a relevant field.
REMOTE - prefer EST
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:
Experience with building data pipelines
Role will be even more focused on SQL than our other recent req, building pipelines and hive tables.
Role will work close with DE partners to integrate new metrics into bigger pipelines and API
Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
Experience working with large datasets.
Education/Experience:
Master of Science degree in computer science or in a relevant field.
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.