Data Scientist IV

Contract: 12 Months+

Pay range: $ 60 / HR - $ 75 / Hr on w2

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.
• Partner with Marketing, Product, Engineering, and cross-functional teams to inform, influence, support, and execute marketing and product strategy and investment decisions.
• 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.

Minimum years of experience: 

• 8+ years of experience.
• Master’s degree required.

Must-Have Skills:

• 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.
• Extensive experience in project management
• Strong communication skills to various stakeholders in different functions and at different levels.

Skills:

• Experienced in either programming languages such as SQL and 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