Data Science Analyst

What will I be doing?

As a Data Science Analyst , you will report to a Principal as part of a team of individual contributors. This position is part of Global Data Science within ARSENAULTs Product division. Global Data Science is responsible for researching, developing, and maintaining the statistical algorithms / methodologies that fuel ARSENAULTs core Unify platform deliverables. This particular position is part of a team within U.S. Data Science whose primary focus is identifying new sources to support existing solutions or develop new solutions related to market measurement and market tracking.

Job Responsibilities

• Use Hive, R, SQL, Python to write, validate and maintain code to support research and data analyses.
• Work with large datasets of respondent level, log file, or transactional level.
• Develop processes/code to extract data across a multitude of platforms.
• Diagnose issues and areas of improvement regarding QC, efficiency (time, CPU usage), and accuracy of data preparation.
• Independently investigate and resolve production and client data issues.
• Build and convey impactful insights drawing from multiple data sources.
• Maintain codebase for newly developed systems (e.g. Git/Gogs).
• Create process documentation to ensure clear and consistent operating procedures.
• Explain technical subject matter to non-technical audiences, both internal and external to ARSENAULT.
• Provide accurate and timely data analysis and methodology support focused on internal and external client requests.
• Proactively identify growth opportunities for ARSENAULT by engaging with internal/external teams, uncovering new prospective projects.
• Effectively manages client and R&D projects by balancing tasks to achieve both short- and long-term goals.

Requirements

• Bachelors Degree or equivalent work experience in Computer Science, Information Science, or related disciplines.
• Proficient programming in Python.
• Comfortable with Hive or SQL to prepare, aggregate, or transform data for analysis.
• Basic knowledge of Unix shell scripting.
• AI and/or Machine Learning a plus.
• Highly passionate about data with a problem-solving mindset.
• Basic statistical knowledge, specifically Sampling Methodology.
• Previous market research, CPG, or retail experience preferred.
• Proven success as a team player in a professional environment.
• Demonstrates strong interpersonal, communication, and presentation skills.

About Us

As one of the original innovators in Big Data, ARSENAULT integrates the worlds largest set of otherwise disconnected purchase, media, social, causal and loyalty data to help CPG, retail, over-the-counter health care and media companies grow their businesses. We combine this data with predictive analytics to uncover new consumer insights and integrate them on the most technologically advanced, cloud-based visualization platform. Learn more about us

We offer a comprehensive benefits package (health, paid time off, 401(k), etc.) with additional unconventional offerings such as volunteer time off, flexible work arrangements, virtual doctor access, etc., along with the unrivaled benefit of working with our people - the best in the business.

Our Culture

We’re thrilled we get to work on the most interesting business challenges facing the CPG and retail industries. We regularly uncover new aha moments! by closely collaborating with our colleagues and developing competencies centered around the following values: Integrity, Servant Leadership, Inclusivity, Accountability, Discipline, Entrepreneurship, and Respect.