Marketing Data Scientist
- Роль
- Data Science
- Опыт
- Мидл
- Занятость
- Полная занятость
Доступно для: US only. Укажите, откуда вы работаете, чтобы проверить доступность.
Коротко по делу
Marketing Data Scientist with 3+ years embedded in or consulting for a marketing department. Must have Python or R, SQL, Tableau or Power BI, Google Ads/GA4/Search Console, and BigQuery experience. United States role, fully remote, English work and applications required.
Ключевые навыки
Обязательные навыки
Желательные навыки
Обязательные языки
Embark on a Career in Luxury Travel With Zicasso
At Zicasso, we've assembled a remarkable global team of individuals from all walks of life, united by a shared commitment to crafting extraordinary travel experiences. Join us, and you'll collaborate with brilliant minds, learn and grow constantly, and forge a fulfilling career path.
Working at Zicasso offers opportunities for personal achievement and the ability to profoundly impact the lives of our travelers. Every day, we receive incredible stories from our clients that remind us of the transformative power of travel. From an insider cooking class in Florence highlighting the traditional flavors of Tuscany to soaring over the Serengeti by hot-air balloon for a unique view of the savanna, these experiences are the essence of why we do what we do.
If you're ready for a career that combines professional excellence, personal growth, and the chance to make a positive impact, we invite you to embark on this incredible journey with us!
Our Values
- Pursue Excellence
- Be Data Driven
- Act With Integrity
- Win as a Team
About You
- You inspire others with your drive for excellence
- You learn quickly and eagerly
- You make time to help colleagues succeed
- You are flexible and thrive in a constantly evolving environment
- You act with good intent and high integrity
- You use data to inform your intuition and choices
Our Global Team Unites on Annual International Retreats & Summits
Zicasso's headquarters is in Mountain View, California, the heart of Silicon Valley, though we are a globally distributed, remote-first workplace. Team members work from home, on five continents (and growing). We hire wherever the best talent is.
We also care deeply about our team developing strong working relationships and aligning with a common culture. While our teamwork and culture thrive through digital connectivity, we believe they are powerfully enhanced when we can connect in person. Thus, we bring everyone together on company-wide retreats and summits, typically for a week at a new location each time. For example, some of our recent trips were held in Buenos Aires, Argentina, Rome, Italy, and Arenal Volcano National Park, Costa Rica, to name a few.
When you join Zicasso, you'll enjoy the benefit of working from home while being part of a strong team culture where colleagues help one another to succeed. And, you'll get to participate in annual company retreats and summits that further build on teamwork and open your world to new travel experiences.
Open Positions
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Чем предстоит заниматься
- 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.
Что требуется
- 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.
- Preferred: Master or Ph.D.
- Preferred: Hands-on experience applying Bayesian modeling to build, fine-tune, or scale open-source Marketing Mix Modeling (MMM) frameworks (e.g., Google’s Meridian, pymc-marketing, Meta’s Robyn) in Python or R.
- 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.
- All applications should be submitted in English.
Преимущества
- 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!
- Our global team comes together biannually for international retreats and summits.
Luxury travel company and operator of custom tours, vacations, and safaris