Dice
Data Scientist IV 24-00157
Dice, Little Ferry, New Jersey, us, 07643
Dice is the leading career destination for tech experts at every stage of their careers. Our client, ZealTech, Inc., is seeking the following. Apply via Dice today!
W2 ONLY
Job Title: Data Scientist IV
Location: Menlo Park CA
Duration: 6 months
Job Description: 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.
Explore new product mechanics and how much value they may deliver to users and to MessengerEngage with experimentation, analyzing the performance of feature tests in partnership with the engineering team
#J-18808-Ljbffr
W2 ONLY
Job Title: Data Scientist IV
Location: Menlo Park CA
Duration: 6 months
Job Description: 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.
Explore new product mechanics and how much value they may deliver to users and to MessengerEngage with experimentation, analyzing the performance of feature tests in partnership with the engineering team
#J-18808-Ljbffr