Data Scientist, Robert Half

Robert Half

Location:
United States, Columbus

Category:
IT - Software Development

Contract Type:
Contract work

Salary:

Not provided

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Job Description:

We are seeking a passionate, data savvy Data Scientist to join the Analytics team and fuel our mission of growth through data-driven insights and opportunity discovery. In this dynamic role you will 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 analysts as well as teams across the organization including Product, Marketing, Data, 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.

Job Responsibility:

Synthesize data from our analytics tools into actionable insights about customer and prospect behavior, digital sales and servicing performance, and customer value delivery
Clearly communicate these recommendations to internal stakeholders and senior leadership
Actively participate in cross-functional initiatives, collaborating with team members to achieve and measure project success
Provide opportunity analysis, measurement plans, dashboards, and post-release/testing analyses
Ability to quickly grasp complex technical concepts and make them easily understandable through various communication mediums like visualizations and presentations
Extract and analyze data using analytics tools such as Python, R, and/or SAS
Create compelling, intuitive dashboards to enable the business with critical metrics, with a focus on data automation, anomaly detection, and actionable data visualizations
Partner with Digital, Marketing, Product and IT partners to evaluate the success of new initiatives
Collaborate with Fraud and Risk partners to identify and mitigate threats to assets
Apply visualization techniques to internal and external data sources to make accurate and actionable analyses in a timely fashion
Be a partner in the building of KPIs and metrics that help to gauge the health and success of our digital and Omni assets and initiatives
Create self-service dashboards for internal business partners to learn, understand, have access to, and derive insights from data, metrics, and KPIs
Apply automation techniques to manual processes to create efficiency, improve accuracy, and build upon successes that create a suite of self-service assets

Requirements:

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
In lieu of a Master's degree, a Bachelor's degree with a minimum of 5 years work experience in analytics or data science
Experience with programming languages R or Python
Business intelligence and data mining tools Tableau and Tableau Server
Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop

Nice to have:

Developing and applying statistical or machine learning methods in a corporate environment through applications such as R, Python, or SAS
Extensive experience with programming languages R or Python
Programming languages Java or C++ in a data mining context
Building web-based applications using HTML, CSS, Perl, and JavaScript
Experience with web analytics tools and implementation - Adobe Analytics (formerly Omniture SiteCatalyst), Google Analytics, IBM Digital Analytics (formerly Coremetrics), Webtrends
A/B testing tools (Optimizely, Adobe Target, etc.) and effective test design (establishing sample sizes, statistical significance measurement, etc.)

What we offer:

Medical insurance
Vision insurance
Dental insurance
Life insurance
Disability insurance
401(k) plan

Additional Information:

Job Posted:
April 25, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Scientist