Description Data Scientist 3 month Contract to Hire Location: 4x Onsite Hybrid Columbus, OH
Pay: Available on W2
A leading financial services organization is seeking a data-driven
Data Scientist to join its Enterprise Analytics team. In this role, you will leverage customer, product, channel, and digital data to uncover opportunities that enhance consumer experience and drive business growth. You will translate complex analytical findings into clear, actionable insights for stakeholders across Product, Marketing, Digital, and senior leadership.
This position offers the chance to influence strategic decisions across the enterprise while working within a collaborative, high-performing analytics and data science group.
Responsibilities- Transform data from enterprise analytics tools into actionable insights related to customer behavior, digital sales, servicing performance, and value delivery.
- Communicate findings and recommendations clearly to internal stakeholders and senior leadership.
- Participate in cross-functional initiatives, providing opportunity analysis, measurement plans, dashboards, and post-release/testing analyses.
- Translate complex technical concepts into intuitive visualizations, dashboards, and presentations.
- Extract and analyze data using tools such as Python, R, and SAS.
- Build intuitive, automated dashboards with a focus on anomaly detection and actionable visualization.
- Partner with Digital, Marketing, Product, IT, Fraud, and Risk teams to evaluate initiatives and identify/mitigate risks.
- Develop and refine KPIs and metrics to assess digital and omnichannel performance.
- Create self-service assets that enable business partners to access and interpret data independently.
- Apply automation techniques to streamline manual analytical processes.
Requirements Basic Qualifications- Bachelor's degree in Decision Sciences, Statistics, Applied Mathematics, Engineering, Computer Science, Information Systems, Operations Research, or another STEM field.
Required Technical Skills- Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree
- or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years' work experience in analytics or data science
- Experience with R, RStudio, Python, SAS, SQL, NoSQL
Preferred Qualifications- Experience developing and applying statistical or machine learning models using Python, R, or SAS.
- Advanced experience with R or Python.
- Programming experience with Java or C in a data mining context.
- Experience building web-based applications (HTML, CSS, Perl, JavaScript).
- Exposure to web analytics platforms (Adobe Analytics, Google Analytics, IBM Digital Analytics, Webtrends).
- Familiarity with A/B testing tools such as Optimizely or Adobe Target, including test design and statistical evaluation.
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