Remote Retail Data Scientist Jobs in New York City

Description

Remote Retail Data Scientist Jobs in New York City

Discover a Remote Opportunity That Powers Retail Intelligence

Are you a data enthusiast who thrives on uncovering patterns, forecasting trends, and building intelligent retail systems? This is your opportunity to work remotely as a Retail Data Scientist while directly impacting customer engagement, inventory strategies, and sales performance for major retail ecosystems in New York City. Data is not just numbers—it's the language we use to create actionable innovation.

We seek a curious, tech-forward professional who combines statistical expertise with business acumen to transform raw data into compelling retail strategies. If you're driven by the challenge of converting complex datasets into real-world outcomes and desire the flexibility of a remote role, this might be the next step in your journey.

Annual Salary: $136,934

Key Responsibilities That Drive Business Impact

Leverage Data for Retail Intelligence

  • Analyze customer behavior, sales patterns, and inventory flow using advanced modeling techniques.
  • Develop predictive algorithms to optimize stock levels, minimize markdowns, and increase sell-through rates.
  • Perform churn analysis and customer segmentation to support personalized marketing initiatives.

Architect Data-Driven Solutions

  • Build machine learning models that improve demand forecasting accuracy
  • Create real-time dashboards for business stakeholders to track KPIs across digital and physical retail environments
  • Identify anomalies and trends in large data sets that inform pricing and merchandising strategies

Collaborate Across Functional Teams

  • Partner with retail planners, eCommerce managers, and marketing analysts to align data solutions with business goals
  • Communicate technical findings in an accessible format to non-technical stakeholders.
  • Design and execute split-testing experiments to assess the effectiveness of promotional strategies and new product introductions.

A Cutting-Edge Remote Work Environment

This is not your average work-from-home job. You’ll be part of a fast-moving, analytics-first culture that celebrates innovation, collaboration, and measurable success. We operate globally with team members across time zones, making asynchronous communication and outcome-based deliverables central to our culture.

Our remote data science team maintains a healthy balance between independence and support. Weekly sprint meetings, tech check-ins, and strategic reviews ensure alignment while allowing you to own your solutions. Here, your voice matters, and your algorithms shape retail decisions for thousands of stores and millions of shoppers.

Tools and Technologies That Empower Innovation

We believe the best solutions come from the most innovative tools. Our retail data scientists work with a robust tech stack tailored to deliver speed, accuracy, and impact:

  • Python & R for statistical computing and machine learning pipelines
  • SQL and Snowflake for large-scale data querying and transformation
  • Apache Spark for big data processing
  • Power BI and Tableau for visualization and dashboarding
  • AWS (S3, Redshift, SageMaker) for scalable cloud-based analytics
  • GitHub for version control and collaboration

Our infrastructure is constantly evolving, embracing new technologies that elevate data performance. You’ll also be free to propose tools that can optimize your workflow.

Qualifications That Set You Apart

To thrive in this role, you'll need a mix of analytical rigor, creative thinking, and business awareness:

  • A university qualification (undergraduate or postgraduate) in areas such as data analytics, computational science, Statistics, Mathematics, or a related field
  • 3+ years of experience in a data science or advanced analytics role, preferably in a retail or eCommerce environment
  • Strong proficiency in Python and SQL, with hands-on experience in data wrangling and modeling
  • Familiarity with time-series forecasting, customer segmentation, and recommendation systems
  • Excellent storytelling skills—you should be able to translate numbers into narratives that drive decisions
  • A passion for remote collaboration and self-motivated problem solving

Why This Role Stands Out

This isn't just another data science position. It's an opportunity to transform retail thinking. You will shape strategies that touch everything from real-time pricing models to personalized customer journeys, and your algorithms will guide multi-million-dollar decisions.

And you’ll do it all wherever you feel most focused and inspired. With flexible hours, generous project ownership, and support for your continued learning, this role is built for those who want to lead change, not just support it.

Metrics That Prove Our Momentum

  • Increased forecast accuracy by 34% in the last fiscal year
  • Reduced excess inventory costs by $11.2M through predictive modeling
  • Enhanced customer targeting models that lifted repeat purchases by 21%

Growth Opportunities and Learning Culture

We actively support your growth and knowledge-building through:

  • Access to paid online courses and certifications in AI, ML, and advanced statistics
  • Bi-monthly virtual data summits to share innovative solutions and real-world case studies
  • Opportunities to present your work to executive leadership and cross-functional teams
  • Career paths toward Lead Data Scientist, Data Science Manager, or cross-functional Product Analytics roles

What Makes Our Remote Experience Unique

Unlike companies that treat remote work as an afterthought, we’ve built a culture around it. You’ll experience:

  • Structured onboarding and mentorship programs
  • Async documentation and resource libraries for maximum clarity
  • Explicit project scopes, deadlines, and feedback cycles
  • Real-time access to decision-makers via Slack and Zoom
  • A culture of recognition that celebrates innovation, impact, and integrity

Ready to Redefine Retail with Data?

If you're a data science professional seeking purpose-driven work that blends the flexibility of remote life with the excitement of real-world retail impact, then this role is tailor-made for you.

Apply Now to Build the Future of Retail Intelligence

Your skills deserve to shape something remarkable. Join us in revolutionizing how retailers operate from the comfort of your ideal workspace. Bring your curiosity, vision, and code, and let’s create something extraordinary together.

Apply today and become the data mind behind retail evolution.