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Principal Data Scientist, Analytics

About UsFounded in 2010 in Irvine, California, Kajabi is the leading creator commerce platform, helping creators turn their knowledge, experience, and expertise into sustainable online businesses. With Kajabi's integrated platform, creators have a single ecosystem to build and market their digital products, including online courses, communities, live coaching, and more. Tens of thousands of creators and entrepreneurs rely on Kajabi as the backbone of their business and have collectively earned over $8 billion from over 85 million customers. Learn more about who we are at: www.kajabi.com.Principal Data Scientist, AnalyticsWe are seeking a seasoned Principal Data Scientist specializing in Analytics to join our Data Science team at Kajabi. In this high-impact role, you will own and optimize our end-to-end data ecosystem to drive proactive insights and strategic recommendations across various functions, including Product, Engineering, Marketing, Finance, and Operations. You’ll play a critical role in achieving Kajabi’s key objectives, such as growth, engagement, and revenue maximization, by designing data-driven models and frameworks that align with our overarching company goals.The Impact you will make• Data Strategy and Insights: Develop a deep understanding of Kajabi’s data landscape to identify opportunities for analytics-driven improvements. Deliver actionable recommendations to stakeholders across multiple teams to support company-wide objectives.• Cross-Functional Collaboration: Partner closely with Product, Marketing, Finance, Engineering, and Operations to define and track metrics that directly impact Kajabi’s OKRs related to user growth, engagement, and revenue.• Advanced Modeling and Analytics: Leverage advanced statistical and machine learning techniques to build models for forecasting, ROI analysis, performance marketing, customer lifetime value (LTV), and recommendation systems. Optimize these models to ensure their relevance and accuracy in driving business outcomes.• Business Impact Analysis: Analyze and communicate how key initiatives influence Kajabi’s top-line and bottom-line metrics, providing data-backed recommendations that support company growth.• Strategic Planning and Leadership Influence: Act as a thought leader by presenting data-driven insights and recommendations to senior leadership, influencing strategic decisions to maximize growth and engagement.• Continuous Improvement: Continuously monitor and refine analytics processes to improve data accuracy, scalability, and accessibility across the organization.Qualifications• Experience: 8+ years of experience in data science, analytics, or a related field, with a successful track record of driving top-line and bottom-line impact, preferably within a SaaS or tech environment.• Technical Skills: Proficient in advanced data analysis tools and programming languages such as SQL, Python, and R, and experienced in developing and operationalizing machine learning models.• Business Acumen: Demonstrated ability to translate complex data insights into strategic recommendations, especially in areas like performance marketing, ROI, LTV, forecasting, and recommendation systems.• Cross-Functional Influence: Proven experience collaborating effectively across Product, Marketing, Engineering, Finance, and Operations, with the ability to influence senior leadership.• Problem Solving: Strong analytical and problem-solving skills, with a proactive approach to identifying opportunities for data-driven improvements.• Communication: Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to non-technical audiences.Kajabi Team Benefits Package• Company paid premiums for medical, dental and vision insurance for self and family.• Company sponsored HSA account.• Company 401K, 100% match up to 6% of employee contributions.• Flexible vacation policy.• Fitness incentives package.• Company funded mental health resources.• Wellness perks.In-Office Requirement StatementWe let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.• This role will need to be in the office for in-person collaboration or attend company events 1-2 times a quarter.Pay Range$143,000—$191,000 + equity + bonusHow To ApplySound like a good fit for you? Click apply, below!• Links - Send along any links that best showcase your experience, i.e. your portfolio, LinkedIn, blog posts, other writing samples, etc.Kajabi LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, disability, age, veteran status, or any other basis protected by applicable law.
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Average salary estimate

$167000 / YEARLY (est.)
min
max
$143000K
$191000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Principal Data Scientist, Analytics, Kajabi

At Kajabi, we're on the lookout for a talented Principal Data Scientist, Analytics to join our dynamic team in Newport Beach, CA. If you have a rich background in data science and a knack for turning complex insights into actionable strategies, this is the role for you! You will be at the forefront of our data ecosystem, driving impactful analytics that span across various functions such as Product, Engineering, Marketing, and Operations. Your expertise will help shape data-driven models aimed at enhancing user growth, engagement, and maximizing revenue. You'll work closely with diverse teams, fostering collaboration and delivering insights that align with Kajabi’s growth objectives. With over 8 years of experience in analytics under your belt, you'll leverage advanced statistical techniques and programming skills in SQL, Python, and R to build models that optimize business outcomes. Your role will also entail presenting these insights to senior leadership, ensuring strategic decisions are grounded in data. Kajabi believes in continuous improvement, and you'll play a critical part in refining our analytics processes to boost accuracy and accessibility. We're excited to have someone who loves to analyze, model, and communicate insights as part of our vision to empower creators in their online ventures. If you’re ready to dive into a thriving company that values innovation, check us out and see how you can make an impact as our Principal Data Scientist!

Frequently Asked Questions (FAQs) for Principal Data Scientist, Analytics Role at Kajabi
What are the key responsibilities of a Principal Data Scientist at Kajabi?

The Principal Data Scientist at Kajabi plays a crucial role in optimizing the data ecosystem. Responsibilities include developing insights from data to support company-wide objectives, collaborating with various teams to track metrics that enhance performance, and using advanced modeling techniques to forecast and analyze key business metrics.

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What qualifications are needed for the Principal Data Scientist role at Kajabi?

To excel as a Principal Data Scientist at Kajabi, candidates should have over 8 years of experience in data science or analytics, particularly within a SaaS or tech environment. Proficiency in SQL, Python, or R, along with strong analytical skills and the ability to communicate complex data findings to non-technical stakeholders is essential.

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How does the Principal Data Scientist influence business decisions at Kajabi?

The Principal Data Scientist influences key business decisions by delivering data-backed recommendations to senior leadership. This role requires a deep understanding of Kajabi's data landscape and the ability to translate analytics into strategic insights that contribute to the company's growth and engagement goals.

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What tools and techniques should a Principal Data Scientist at Kajabi be familiar with?

At Kajabi, familiarity with advanced data analysis tools and programming languages is vital. A Principal Data Scientist should be skilled in SQL, Python, R, and have experience with statistical modeling techniques, machine learning frameworks, and data visualization tools to effectively derive insights.

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What kind of team collaboration can a Principal Data Scientist expect at Kajabi?

Team collaboration is a cornerstone of the Principal Data Scientist role at Kajabi. You will work closely with Product, Marketing, Finance, Engineering, and Operations teams, defining and tracking key metrics and fostering a culture of data-driven decision-making across the organization.

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Common Interview Questions for Principal Data Scientist, Analytics
Can you describe your experience with data modeling and forecasting?

In answering this question, focus on specific projects where you developed predictive models. Discuss the methods used, the data sources, and the business impact of your forecasting. Highlight your understanding of accuracy and how you improved model performance.

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How do you translate complex data insights into actionable recommendations?

Provide examples of how you've curated insights for non-technical stakeholders. Show your ability to break down complex data and present it in a clear, concise manner that aligns with business objectives. Discuss techniques you use to ensure your recommendations are understood and accepted.

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What statistical tools and programming languages do you prefer and why?

Here, you can share your proficiency in tools like SQL, Python, and R. Discuss specific situations where you applied these tools effectively, emphasizing any libraries or frameworks you find particularly useful for data analysis and modeling.

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Describe a situation where you significantly impacted a project through data insights?

Use the STAR method (Situation, Task, Action, Result) to structure your answer. Highlight the problem, your analytical approach, the insights you derived, and the resulting business outcome, showing how your contributions made a significant positive change.

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How do you ensure data accuracy and validity in your analyses?

Discuss your approach to data validation, including any methods or tools you use to clean and preprocess data. Emphasize the importance of data quality in delivering reliable insights and the steps you take to continually monitor and improve accuracy.

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What techniques do you use for performance marketing analysis?

Talk about specific models or techniques used in previous roles to analyze marketing performance. This could include customer lifetime value (LTV) analysis, A/B testing, or ROI calculations, and how these analyses informed marketing strategy decisions.

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How do you stay current with the latest data science trends and techniques?

Highlight your commitment to professional development, mentioning sources like industry blogs, webinars, conferences, and online courses. Discuss any recent techniques or tools you've adopted and how they've positively impacted your work.

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What experience do you have in cross-functional team collaborations?

Provide examples of successful projects where you collaborated with different teams, focusing on the approaches you took to communicate data insights and the outcomes of those collaborations.

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How do you approach problem-solving in your data analysis work?

Discuss your structured approach to problem-solving, emphasizing how you identify problems, gather data, and analyze potential solutions. Share a relevant example that illustrates your analytical thinking and problem-solving skills.

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Why do you want to work at Kajabi as a Principal Data Scientist?

Express your genuine interest in Kajabi's mission to empower creators through data-driven solutions. Mention specific aspects of the company culture, projects, or your alignment with their values that attract you to this opportunity.

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Empower knowledge entrepreneurs and creators with an intuitive, reliable platform, innovative products, relevant education and a vibrant community to build a business, and a life, around their knowledge, by helping them to package their knowledge ...

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BENEFITS & PERKS
Dental Insurance
Health Savings Account (HSA)
Vision Insurance
Family Medical Leave
Paid Holidays
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
December 10, 2024

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