Data Scientist
Veritiv

HYBRID ROLE BASED OUT OF OUR ATLANTA OFFICE

Job Purpose:

Our Data Scientist will be responsible for supporting data science initiatives that drive business profitability, increase efficiencies and improve customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems.

Job Responsibilities:
• Design and develop algorithms and models to use against large datasets to create business insights.
• Use predictive modeling to increase and optimize customer experiences and revenue.
• Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies.
• Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners.
• Present recommendations in a confident manner in order to influence execution of recommendation; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation.
• Prepare reports, updates and/or presentations related to progress made on a project or solution.
• Effectively develop trust and collaboration with internal customers and cross-functional teams..
• Seek further knowledge on key developments within data science, technical skill sets, and additional data sources.
• Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects.
• Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented.
• Apply advanced analytics methods and algorithms for identifying trends and providing business solutions.
• Other duties as assigned.

Additional Responsibilities & Qualifications:
• Knowledgeable in Prescriptive Modeling like Machine Learning, Deep Learning, Recommendation, search or Natural Language Processing (NLP).
• Proficient utilizing statistical techniques to identify key insights that help solve business problems.

Work Experience:
• 1-3 years of related job experience.
• Ability to manage multiple projects, work under pressure, and adapt to sudden changes in the work environment.
• Ability to work quickly and efficiently.
• Excellent verbal, written, people, and diplomacy skills are required.
• Experience in programming language such as Python, R, or VBA is desirable.
• Experience using Microsoft SQL, SSAS, Power Pivot, Power Query or Power BI is preferred.
• Experience utilizing Python or R coding skills for data exploration, statistical analysis, and predictive analysis.
• Experience writing SQL queries (familiar with primary and foreign keys, as well as joins and aggregate functions).
• Proficient with Microsoft Office Suite.
• Strong customer service skills (friendly, courteous and helpful).
• Strong planning and organization skills are required.

Education:
• Master's Degree Preferred

What We Offer

• Engaging and inclusive culture with employee-led Employee Resource Groups, Veritiv Cultural Alliance, recognition platform, etc.
• Extensive training opportunities, professional development programs, career pathing, and mentorship opportunities.
• Collaborative atmosphere with our customers and suppliers to create healthier, safer and more sustainable communities through our responsible operations and innovative solutions.
• Healthcare benefits, 401k, paid time off and tuition reimbursement.

About Veritiv

Together with its subsidiaries, Veritiv is the leading full-service provider of packaging solutions. Veritiv also provides JanSan, hygiene, print and publishing products and services. Veritiv serves customers in a wide range of industries, through team members around the world helping shape the success of its customers. For more information, visit www.veritiv.com and connect with the Company on LinkedIn .

Veritiv is an Equal Opportunity/Affirmative Action employer.
EEO Policy US | EEO Policy Mexico
This description does not attempt to define the job's essential functions as defined by applicable disabilities law.

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