About Chewy – A Pet‑Loving Powerhouse Transforming E‑Commerce Chewy, Inc. isn’t just another online retailer; it’s a fast‑growing, customer‑obsessed brand that has redefined how pet owners shop for food, toys, medication, and accessories. With a mission to “make pet parents happy,” Chewy combines cutting‑edge technology, world‑class logistics, and a heartfelt commitment to animal welfare. From its humble beginnings as a startup to becoming a multi‑billion‑dollar public company, Chewy has built a culture where innovation meets empathy, and every team member gets to make a tangible difference in the lives of millions of pets and their families. Because the pet industry is driven by data—purchase trends, health records, seasonal demand, and customer sentiment—Chewy relies on a robust information science team to turn raw data into actionable insights. As a Remote Data Entry & Information Science Analyst, you will be at the heart of that transformation, helping the company make smarter decisions, launch new products faster, and deliver an unparalleled shopping experience. Why This Role Is a Game‑Changer for Your Career In today’s data‑centric world, the ability to collect, clean, and interpret large datasets is a premium skill. This position offers a rare blend of hands‑on data entry, analytical problem‑solving, and cross‑functional collaboration—all from the comfort of your home office. You’ll work side‑by‑side with seasoned data scientists, software engineers, product managers, and senior leadership, gaining exposure to advanced analytics platforms such as HireRivet Redshift, Snowflake, and SageMaker. Beyond the technical growth, you’ll enjoy a supportive, inclusive environment that values work‑life balance, continuous learning, and a genuine passion for pets. Chewy’s remote‑first philosophy means you’ll have flexibility without sacrificing the sense of community that comes from regular virtual meet‑ups, mentorship programs, and company‑wide events. Position at a Glance • Job Title: Remote Data Entry & Information Science Analyst • Compensation: $25 per hour (competitive hourly rate with performance bonuses) • Location: Fully remote – work from anywhere in the United States • Employment Type: Full‑time, 40 hours per week • Company: Chewy, Inc. • Start Date: Immediate openings – start as soon as you’re ready Core Responsibilities – What You’ll Do Every Day • Perform high‑volume data entry with meticulous attention to accuracy, ensuring that all pet‑related transaction records, inventory logs, and customer interactions are correctly captured in Chewy’s data warehouse. • Apply statistical and machine‑learning techniques to design, test, and scale robust data pipelines that support predictive modeling for demand forecasting, product recommendation, and churn reduction. • Collaborate with cross‑functional teams—data scientists, software developers, product owners, and operations stakeholders—to translate ambiguous business needs into well‑defined data problems and actionable solutions. • Develop, code, test, and iterate on data‑processing scripts using Python, R, PySpark, or Scala, adhering to Chewy’s coding standards and best practices. • Conduct exploratory data analysis (EDA) to uncover hidden patterns, anomalies, and opportunities that drive strategic decisions across marketing, supply chain, and customer experience. • Maintain and optimize data visualization dashboards (e.g., Tableau, Looker) to provide real‑time insights for senior leadership and front‑line teams. • Stay up‑to‑date with emerging technologies, industry trends, and best practices in data engineering, AI, and cloud platforms, and proactively share knowledge with peers. • Identify, troubleshoot, and resolve data quality issues, ensuring the integrity and reliability of all analytical outputs. • Document all processes, data schemas, and analytical methodologies in clear, concise, and accessible formats for future reference and regulatory compliance. • Participate in agile ceremonies—daily stand‑ups, sprint planning, retrospectives—to align priorities, report progress, and constantly improve workflow efficiency. Essential Qualifications – What You Must Bring • A Bachelor’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a closely related quantitative field. A Master’s degree is a strong plus. • Minimum 1‑2 years of hands‑on experience in data entry, data cleaning, or data analysis within a fast‑paced, technology‑driven environment. • Proficiency in at least one programming language commonly used for data work—Python, R, or Scala—and familiarity with libraries such as Pandas, NumPy, PyTorch, or TensorFlow. • Solid understanding of relational databases and SQL (intermediate level). Experience with cloud‑based data warehouses (Redshift, Snowflake, BigQuery) is highly desirable. • Demonstrated ability to translate complex technical concepts into clear, non‑technical language for diverse audiences. • Strong ana