Marketing Data Scientist

Zicasso

3d • Remote

About The Position

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.

Requirements

• 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.

Nice To Haves

• Master or Ph.D. preferred.

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.

Benefits

• 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
• Two company-sponsored business trips each year at international destinations we serve!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level