Data Scientist: II (Intermediate)

Job Description

We are looking for an experienced and analytical Data Scientist to join our dynamic Analytics team in Columbus, Ohio. In this long-term contract role, you will work on leveraging data to uncover opportunities for optimizing customer experiences and driving business growth. This position offers a chance to collaborate with diverse teams, including Product Marketing and senior leadership, and contribute to impactful decisions through data storytelling and visualization.

Responsibilities:

• Analyze structured and unstructured data to identify trends and opportunities, providing actionable insights to enhance customer experience and business performance.

• Develop reports, dashboards, and presentations that effectively communicate findings and recommendations through data storytelling.

• Collaborate with cross-functional teams, including Product Marketing and IT, to align data strategies with organizational goals.

• Utilize advanced analytics tools such as Python, R, Tableau, and Adobe Analytics to perform modeling and visualization tasks.

• Support the Digital and Omnichannel initiatives by synthesizing data into performance insights, enabling strategic decision-making.

• Participate in Agile project development, contributing to all phases of the analytics lifecycle from ideation to delivery.

• Monitor and measure the success of implemented initiatives, ensuring alignment with business objectives.

• Provide leadership and guidance on data-driven strategies to stakeholders, including senior leadership.

• Stay up-to-date with evolving technologies and methodologies in data science, applying them to improve processes and outcomes.

• Ensure data integrity and accuracy in all analytics deliverables.• Proven experience in data analysis, visualization, and storytelling using tools such as Python, R, Tableau, or Adobe Analytics.

• Strong communication skills to effectively present complex data insights to stakeholders and leadership.

• Familiarity with SQL, HTML, JavaScript, and Oracle for data processing and reporting.

• Demonstrated ability to collaborate with cross-functional teams in a fast-paced environment.

• Knowledge of digital sales, customer behavior analytics, and performance metrics.

• Ability to work within Agile frameworks and manage projects through their lifecycle.

• Strong problem-solving skills and attention to detail.

• Bachelor's degree in a related field such as Data Science, Engineering, or Analytics.