Remote Marketing Data Scientist Jobs in New York City

Description

Remote Marketing Data Scientist Jobs in New York City

Join a Mission-Driven Marketing Analytics Team

Are you a data scientist who thrives on decoding customer behavior and powering impactful marketing strategies? This remote opportunity offers a platform where your expertise in marketing analytics can drive transformation across a values-led, people-first organization. With a competitive salary of $136,934 annually and a culture built on inclusion and collaboration, this role invites passionate professionals to shape the future of marketing intelligence from anywhere.

Our Story: Centered on People, Powered by Data

This journey began with a simple vision—to build a workplace where every voice matters and every decision is rooted in empathy and purpose. From the start, our diverse team believed that behind every successful campaign is a network of talented individuals motivated by care and curiosity. Over the years, we’ve cultivated an environment where marketing decisions are informed by inclusive data science, and employee wellbeing stands at the core of everything we do.

Whether launching a new product, optimizing a campaign funnel, or analyzing social sentiment, we lead with heart, celebrate differences, and support each other fiercely. This is more than a role—it's a community where your ideas are valued and your contributions make a measurable impact.

What You’ll Be Doing

Driving Marketing Intelligence

  • Analyze multi-channel marketing performance to extract actionable data insights.
  • Develop and implement models that predict customer lifetime value and churn trends.
  • Use segmentation techniques to uncover hidden audience opportunities
  • Evaluate the effectiveness of A/B tests and multivariate experiments
  • Design attribution models to assess marketing ROI across platforms

Collaborating Cross-Functionally

  • Partner with brand managers, creatives, and digital marketers to translate data into campaign strategy
  • Support product teams by providing customer journey analytics
  • Work closely with finance to align marketing KPIs with budgeting decisions
  • Empower leadership with dashboards and reports that communicate complex trends clearly

Championing Ethical and Inclusive Data Use

  • Ensure datasets and models reflect ethical, unbiased practices
  • Apply fairness-aware algorithms to prevent skewed marketing results
  • Create feedback loops to validate outcomes across customer demographics

Tools and Technologies You’ll Use

  • Python, R – for model building, regression analysis, and statistical testing
  • SQL – to query structured data from relational databases
  • Tableau, Power BI – for creating interactive visual reports and executive dashboards
  • Google Analytics & Tag Manager – for real-time behavioral insights
  • Cloud Platforms (AWS, GCP) – to scale and automate data pipelines

What Makes You a Great Fit

Required Qualifications

  • Bachelor’s or Master’s degree in Data Science, Marketing Analytics, Statistics, or a related field
  • At least three years of practical experience working in marketing, data science roles, or customer data science
  • Strong fluency in SQL and at least one programming language such as Python or R
  • Proven ability to communicate insights to stakeholders across technical and non-technical functions
  • Deep understanding of digital marketing funnels, performance metrics, and attribution strategies

Preferred Skills

  • Experience with customer segmentation, recommendation systems, or predictive modeling
  • Familiarity with media mix modeling or econometrics
  • Knowledge of data privacy regulations (GDPR, CCPA) and ethical AI principles

Our Work Culture: Empathy, Diversity, and Empowerment

In our remote-first culture, we believe that diverse experiences fuel innovation. That’s why we’ve built an inclusive workplace where everyone can bring their whole selves to work, no matter where they’re logging in from. Our team brings together individuals from many walks of life and unique viewpoints, and we actively support initiatives that foster equity in our analytics and relationships.

You’ll find a warm, collaborative environment where empathy is a leadership trait and feedback is a gift. We celebrate wins together, lift each other during challenges, and prioritize psychological safety so every voice is heard.

Some of Our Initiatives:

  • Monthly inclusion forums and cross-cultural team-building sessions
  • Employee resource groups for underrepresented identities
  • Mentorship programs tailored to early-career professionals
  • Wellness stipends and mental health resources for remote team members

Growth and Development

We understand that your journey doesn’t end when you get the job—it’s only beginning. That’s why we’ve built clear growth paths within our analytics division and encourage continuous learning through:

  • Sponsored certifications in advanced data science or marketing technologies
  • Bi-annual career roadmap conversations with leadership
  • Dedicated budget for attending virtual data summits and workshops
  • Internal rotations to explore marketing functions (SEO, paid media, CRM, etc.)

Equal Opportunity Matters

We are committed to maintaining a workplace that offers equal opportunities to all applicants and advocate for an inclusive workplace. Candidates of all backgrounds—including but not limited to race, gender identity, sexual orientation, age, ability, and veteran status—are encouraged to apply. We believe diverse teams produce better outcomes and reflect the world we aim to serve.

Your talent matters more than where you're from or how you identify. If you meet the qualifications and this role excites you, we want to hear from you.

Ready to Take the Leap?

This is your chance to apply your marketing data science skills in an environment that truly values you. Join a team that empowers you to be curious, compassionate, and data-driven—all from the comfort of your remote workspace.

Apply now to help shape the future of inclusive, impactful marketing. Your story belongs here.