Sr. Data Scientist

Insight Global
Columbus, United States of America
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 104K

Job location

Columbus, United States of America

Tech stack

Amazon Web Services (AWS)
Data analysis
Information Systems
Data Visualization
IBM DB2
Database Applications
Digital Data
Hadoop
SPSS (Software)
Python
Microsoft SQL Server
Oracle Applications
SQL Databases
Teradata
Spark
Information Technology
Streamlit Framework

Job description

A client of Insight Global is 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.

Requirements

  • 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 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 candidate has a PhD, no work experience is required.

Nice to Have Skills & Experience

3 years of experience with python, R or spark programming AWS Sagemaker Streamlit

Benefits & conditions

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

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