Data Scientist

Overview

On Site
$50 - $55
Contract - Independent

Skills

Data Scientist
SQL programming
Oracle
DB2
SPSS
Teradata
and Hadoop

Job Details

Role: Data Scientist
Location: Columbus, Ohio, Onsite(Only Locals for Ohio )
Exp : 10+ yrs

JOB DESCRIPTION
TECHNICAL SKILLS
Must Have
Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop
In lieu of a Master's degree, a Bachelor's degree with a minimum of 5 years of work experience in analytics or data science
Master's degree in Decision Sciences, Statistics, Applied Mathematics, Engineering, Computer Science, or Information Systems, Operations Research, or a STEM degree AND a minimum of 3 years of work experience in analytics or data science. If the candidate has a PhD, no work experience is required.
Job Summary:
We are seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team.

Duties and Responsibilities:
Ability to use advanced analytics methods to extract value from business data.
Ability to perform large-scale experimentation and build data-driven models to answer business questions.
Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
Determines requirements that will be used to train and evolve deep learning models and algorithms.
Influences product teams through presentation of data-based recommendations.
Performs other duties as assigned.

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