Data Scientist

About Ziplines

Ziplines Education is a category-leading education company that partners with universities to deliver industry-focused certificate courses that prepare professionals for today’s digital-first workforce. Each year, we have the opportunity to help thousands of career advancers build the knowledge, skills, and credentials they need to move their careers forward. 92% of learners would recommend our programs, and our net promoter score is consistently in the excellent range. Together, we empower adult learners to confidently pursue the career they’ve always wanted.

About The Role

We believe data is more than numbers—it’s the key to smarter decisions, sharper strategies, and unlocking growth. As the third member of our data team, you will play a pivotal role in scaling our analytics foundation and shaping the company’s data culture.

You’ll partner with teams across marketing, product, operations, and sales to design scalable data models, uncover actionable insights, and influence strategy at the highest levels. Your work will directly guide decision-making and fuel growth.

What You’Ll Do:

• Scale the data foundation: Build and maintain clean, reliable, and scalable datasets in SQL (BigQuery) and Python (DBT).
• Drive strategic insights: Develop predictive models, analytical frameworks, and A/B tests that inform company strategy.
• Create visibility: Deliver dashboards and reporting that give teams clarity on performance and KPIs.
• Influence decisions: Translate complex analyses into compelling stories that inspire action across leadership and teams.
• Shape data culture: Champion best practices in experimentation, data governance, and storytelling; mentor colleagues and guide adoption of scalable BI processes.
• Drive strategic insights: Develop predictive models, analytical frameworks, and A/B tests that inform company strategy.
• Create visibility: Deliver dashboards and reporting that give teams clarity on performance and KPIs.
• Influence decisions: Translate complex analyses into compelling stories that inspire action across leadership and teams.

Who You Are:

You are someone who thrives in dynamic environments, owns complex challenges, and drives measurable business impact. Additionally, we are looking for someone with:

• 3-4 years of experience in data science, analytics, or a related field.
• Advanced SQL skills and expertise in building scalable data models (ETL infrastructure).
• Proficiency with Python for analysis, modeling, and experimentation.
• Experience creating dashboards and visualizations in BI tools (Tableau, Power BI, Looker, or similar).
• Exceptional data storytelling and communication skills—you simplify complexity and influence stakeholders at all levels.
• Strong business acumen—you understand how data connects to revenue, customer behavior, and operational efficiency.
• A self-starter mindset; comfortable working in ambiguity and adapting to fast-changing priorities.

• Bonus Points:

• Experience with cloud data warehouses (Snowflake, BigQuery, Redshift).
• Familiarity with marketing analytics, funnel optimization, or product analytics.

• Previous Startup Experience.

• Experience with predictive modeling in Python.
• Focus on outcomes — students come first, always.
• Be trustworthy — deliver, be honest, have our backs.
• Be humble — we’re in this together.
• Be curious — continuous learning drives innovation.
• Be you — diverse thinking creates opportunity.
• You value and will contribute to a transparent, no B.S. culture.
• Perks and benefits at Ziplines Education (full-time employees):
• Experience with cloud data warehouses (Snowflake, BigQuery, Redshift).
• Familiarity with marketing analytics, funnel optimization, or product analytics.

• Previous Startup Experience.

• Experience with predictive modeling in Python.
• Focus on outcomes — students come first, always.
• Be trustworthy — deliver, be honest, have our backs.
• Be humble — we’re in this together.
• Be curious — continuous learning drives innovation.
• Be you — diverse thinking creates opportunity.
• You value and will contribute to a transparent, no B.S. culture.
• Perks and benefits at Ziplines Education (full-time employees):
• Experience with predictive modeling in Python.
• Focus on outcomes — students come first, always.
• Be trustworthy — deliver, be honest, have our backs.
• Be humble — we’re in this together.
• Be curious — continuous learning drives innovation.
• Be you — diverse thinking creates opportunity.
• You value and will contribute to a transparent, no B.S. culture.
• Perks and benefits at Ziplines Education (full-time employees):

Our Core Values:

• Time off: We offer a flexible paid time off policy, in addition to 10 paid holidays.
• Flexible, remote work environment: We are a fully distributed team with folks all over the U.S. We meet as a full team at least one time per week and have in-person gatherings or team offsites one or more times per year.
• Family health and wellness: Choose from a range of medical, dental, and vision insurance plans (premiums start at $0/month) for yourself or your family.
• 401K: We know your future self will thank you when you start contributing to your company-sponsored 401k.

Plus, we’d be happy to share additional benefits with you during the hiring process.

The salary range for this role is $125,000 - $145,000 USD annually for candidates located in the San Francisco Bay Area (this is considered the Ziplines Education virtual home base). Individual compensation packages are based on a few different factors unique to each candidate, including their skills, location, experience, qualifications, and other job-related considerations.


To ensure a fair and consistent hiring process, we kindly ask that all applicants submit their applications through our job board rather than reaching out directly via LinkedIn, phone, or email. This helps our recruitment team review every application efficiently and equitably. We truly appreciate your interest in joining our team and look forward to considering your application!

Ziplines, Inc. is proud to be an equal-opportunity employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other protected characteristics under applicable law.