Experienced Full Stack Data Scientist III – Customer Technology and Data Strategy

At arenaflex, we're revolutionizing the way people interact with data to drive business growth and innovation. As a leading player in the industry, we're constantly pushing the boundaries of what's possible with data science, machine learning, and analytics. Our Customer Technology Data Science team is at the forefront of this revolution, working tirelessly to unlock insights and drive business decisions that impact millions of customers worldwide. We're seeking an exceptional Data Scientist III to join our team and help shape the future of customer data strategy at arenaflex. As a key member of our Customer Technology Data Science team, you'll play a critical role in defining and executing our data strategy, driving business growth, and delivering high-impact insights that inform our product roadmap.

About arenaflex

arenaflex is a global leader in the home goods industry, with a mission to make home decor and furniture shopping easier, faster, and more enjoyable for our customers. Our data science team is at the heart of this mission, working closely with product, engineering, and machine learning stakeholders to drive business growth and innovation.

Job Summary

As a Data Scientist III at arenaflex, you'll be responsible for unlocking insights and guiding business decisions through data-driven analysis and strategic direction. You'll work closely with cross-functional teams to develop and implement data-driven solutions that drive business growth, improve customer experience, and inform our product roadmap.

Key Responsibilities

• Define and own the strategic agenda to unlock insights and guide the business

• Run open-ended exploratory data analysis to identify new ideas and opportunities
• Consult on A/B tests of our latest technology being implemented (e.g. decoupled services, enhanced recommendations algorithms, new features) to ensure effective and accurate data capture for experimentation reporting
• Proactively monitor our data models to identify potential issues, determine root causes, and resolve
• Build new tools that allow us to be more productive and efficient
• Work closely and build productive relationships with our product, engineering, and machine learning stakeholders
• Proactively identify areas where advanced analytical efforts can produce a strong value add and work them into the road map
• Communicate key insights and recommendations to cross-functional executive leaders across the organization

What You'll Need

• Bachelor's degree in computer science, engineering, math, statistics, economics, or other quantitative discipline; Master's degree preferred

• 4+ years of work experience in a relevant field (in addition to any graduate education)
• Analytics or Data Science experience with e-commerce companies is a strong plus
• In-depth experience with SQL (aggregate functions, query optimization, stored procedures, string parsing, Vertica/Hive/Presto/Spark, etc.), required
• In-depth experience with Python & Python tools (Jupyter notebooks, functions, pandas, scikit-learn, matplotlib, etc.), required
• Experience with experimental design (A/B tests) and statistical analysis to drive business decision making, highly preferred
• Knowledge and experience using machine learning algorithms/techniques (decision trees, random forest, deep learning, etc.) within a business context, highly preferred
• Strong written and verbal communication with a team player, highly collaborative attitude
• Ability to collaborate and proactively communicate with stakeholders
• Proven track record of taking ownership and driving results. Thrive in a fast-paced environment
• Strong business acumen, analytical skills, and technical abilities along with problem-solving skills
• Demonstrated success influencing senior-level stakeholders on strategic direction based on recommendations backed by in-depth analysis
• Prior experience proactively identifying areas where analytical efforts can produce a strong business value add and setting the analytics roadmap
• Able to manage multiple projects and deliver against aggressive goals

What We Offer

• Competitive salary range: $143,000 - $154,000 per year

• Restricted stock units as part of the compensation package
• Hybrid work arrangement: Tuesday - Thursday onsite, Monday / Friday remote
• Opportunity to work with a global leader in the home goods industry
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Comprehensive benefits package, including medical, dental, and vision insurance
• Generous paid time off and holidays
• Access to cutting-edge technology and tools
• Recognition and rewards for outstanding performance

How to Apply

If you're a motivated and talented data scientist looking to join a dynamic team and drive business growth, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. Apply for this job