Data Science Analyst

Arsenault; Houston (TX); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Comprehensive health benefits

Paid time off

401(k) plan

Flexible work arrangements

Virtual doctor access

Volunteer time off

Job summary

A leading analytics company in Houston, Texas is looking for a Data Science Analyst to join their Global Data Science team. The role involves developing and maintaining statistical algorithms, analyzing large datasets using tools like Python and SQL, and ensuring the quality and accuracy of data preparations. Ideal candidates will hold a Bachelor's in a relevant field and have strong programming skills alongside teamwork capabilities. Competitive benefits including health, flexible work arrangements, and volunteer time off are offered.

Qualifications

• Bachelor's Degree or equivalent experience in Computer Science, Information Science, or related fields.
• Basic statistical knowledge, specifically Sampling Methodology.
• Proven success as a team player in a professional environment.
• Basic Unix shell scripting
• AI/ML experience is a plus
• Strong data analysis and problem-solving mindset
• Experience in market research or CPG/retail preferred
• Proven team player with strong communication and presentation skills

Responsibilities

• Write, validate and maintain code using Hive, R, SQL, Python.
• Develop processes to extract data across multiple platforms.
• Investigate and resolve production and client data issues.
• Diagnose issues regarding QC, efficiency, and data preparation
• Independently investigate and resolve production and client data issues
• Build insights from multiple data sources
• Maintain codebase for new systems (Git/Gogs)
• Create process documentation for clear operating procedures
• Explain technical subject matter to non-technical audiences
• Provide timely data analysis and methodology support
• Identify growth opportunities by engaging with teams
• Manage client and R&D projects balancing short- and long-term goals

Skills

Proficient programming in Python

Comfortable with Hive or SQL

Basic knowledge of Unix shell scripting

AI and/or Machine Learning

Strong interpersonal and communication skills

Statistics basics

Data analysis

Market research

Education

Bachelors Degree in Computer Science or related

Tools

Git

Job description

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.