Zicasso Logo

Zicasso

Marketing Data Scientist

Posted 9 Days Ago
Remote
Hiring Remotely in Texas, USA
Mid level
Remote
Hiring Remotely in Texas, USA
Mid level
Analyze large marketing datasets, build predictive models for segmentation, pricing, and demand forecasting, support targeted campaigns and retention, partner with product and marketing, apply statistical and ML methods, ensure data quality with engineering, and communicate insights to stakeholders to drive conversion and retention improvements.
The summary above was generated by AI

Company Overview

Established in 2008, Zicasso is the most-reviewed and highest-rated luxury travel company, specializing in immersive custom tours, vacations, and safaris. Our Zicasso travel specialists are the world’s top 2% of boutique tour operators and travel agents, pre-vetted and handpicked to compete in creating itineraries tailored to each of our travelers’ unique preferences. Joining Zicasso, you'll play a key role in bringing our travelers’ dreams to life—pushing the boundaries of what’s possible with luxury travel experiences.

As a member of our team, you’ll be part of a company recognized for its strong brand reputation among discerning travelers. Our authority in the luxury travel industry is consistently affirmed through features in top media outlets, including The New York Times, The Wall Street Journal, BBC, Forbes, CNN, and Condé Nast Traveler, to name a few. See our press coverage here.

We are a fully remote company spanning five continents, and we foster a dynamic, progressive global work environment that values creativity, initiative, and continuous learning. We're seeking passionate, data-driven individuals who thrive in a high-performance environment and are eager to contribute to our innovative company culture, underpinned by a consistent pursuit of excellence, integrity, and teamwork.

Our global team comes together biannually for international retreats and summits. These are typically held for a week at a new location each time, providing opportunities to share ideas, collaborate in person, and strengthen our culture, all while learning firsthand about the destinations we serve. These events embody our commitment to both professional growth and the transformative power of travel.

Join us in shaping the future of luxury travel while working towards our vision—creating a more connected humanity through travel. To learn more, visit https://www.zicasso.com/careers.

The Role

As a Marketing Data Scientist at Zicasso, you will have the opportunity to leverage your expertise in data analysis and modeling to extract valuable insights that will drive the company's strategic decision-making. You will work closely with cross-functional teams to develop and implement data-driven solutions that improve operations, enhance customer experiences, and optimize business performance.

There is flexibility in your work hours but we expect that you will generally maximize your overlap with California hours.

The work will all be conducted in English.

Key Responsibilities

  • Analyze large datasets to uncover trends, patterns, and insights that drive strategic business decisions.
  • Develop and refine predictive models for customer segmentation, pricing optimization, and demand forecasting.
  • Provide actionable data insights to support targeted marketing campaigns, customer retention strategies, and personalized communication.
  • Partner with product, marketing, and customer experience teams to uncover opportunities for conversion and retention improvement.
  • Apply advanced statistical methods and machine learning techniques to solve complex business problems and improve operational efficiency.
  • Collaborate with data engineering to ensure data quality, consistency, and scalability across systems.
  • Document methodologies and communicate findings clearly to both technical and non-technical stakeholders.
  • Contribute to fostering a data-driven culture by sharing insights, tools, and best practices across teams.

Required Experience

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. Master or Ph.D. preferred.
  • Proven experience as a Data Scientist in a fast-paced and data-driven environment.
  • Expertise in statistical analysis, machine learning, and predictive modeling techniques.
  • Proficiency in programming languages such as Python or R.
  • Strong SQL skills and experience working with large-scale datasets.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Excellent problem-solving skills and ability to translate business requirements into analytical solutions.
  • Strong communication skills and ability to present complex findings to both technical and non-technical stakeholders.
  • Ability to thrive in a fully remote environment, working independently while maintaining close collaboration with cross-functional teams.
  • Minimum of 3 years of experience embedded within or consulting for a marketing department. Ability to translate complex statistical findings into actionable insights for non-technical stakeholders
  • Deep technical expertise in navigating and extracting data from the Google ecosystem (Google Ads, GA4, and Search Console). Proven track record of using BigQuery to join disparate marketing datasets for cross-channel analysis and attribution modeling.

What We Offer

  • Remote work from your home base and flexible hours that allow you to enjoy a great work-life balance
  • Innovative, fast-paced and collaborative culture that values diverse voices and opinions
  • Competitive compensation and benefits package (medical, dental, vision)
  • Open Paid Time Off policy and 10 days of company-paid holidays
  • Stock options package
  • 401K retirement plan with employer matching
  • Substantially discounted luxury travel during off-season
  • Learning and development annual stipend
  • Enjoy two company-sponsored business trips each year at international destinations we serve!

All applications should be submitted in English.

Similar Jobs

Yesterday
Remote
US
130K-160K Annually
Mid level
130K-160K Annually
Mid level
Healthtech • Other • Telehealth
Use statistical and causal inference methods to build, implement, and monitor marketing models (Bayesian MMM, multi-touch attribution), analyze A/B and uplift tests, partner with marketing to test and drive data-informed decisions from large web-product datasets.
Top Skills: Bayesian ModelingLookerMarketing Mix ModelingMulti-Touch AttributionPythonRSQLTableau
8 Days Ago
Remote
US
145K-196K Annually
Mid level
145K-196K Annually
Mid level
Productivity • Software
Embed within GTM Marketing to design experiments, build attribution, propensity, churn, segmentation, and conversion models; analyze product engagement and organic search signals; partner with analytics engineers to productionize models; and translate statistical results into actionable business recommendations.
Top Skills: ClaudeCursorDbtGa4Google AdsHexLlmsLookerMlopsModePandasPythonReverse EtlScikit-LearnSegmentSnowflakeSQLStatsmodels
14 Days Ago
Remote or Hybrid
3 Locations
180K-180K Annually
Senior level
180K-180K Annually
Senior level
Agency • Digital Media • eCommerce • Social Media
Lead design of analytical models, metrics, and schemas that power an AI marketing orchestration layer. Translate marketer intuition into rigorous, production-ready metric models, partner with data engineering and AI teams to build pipelines and agent skills, and ensure metric accuracy for decisioning across paid and owned channels.
Top Skills: BigQueryDbtJupyter NotebooksPythonSQL

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account