Data Scientist (Marketing)

Runna; London; Hybrid; GBP 80,000 - 95,000; Full time

Job summary

An innovative firm is seeking a talented Data Scientist to join their dynamic team focused on marketing analytics. This role will involve developing predictive models, optimizing marketing strategies, and providing data-driven insights to enhance user acquisition and retention. As the first Data Scientist in the company, you will have a significant impact on shaping the future of the platform. With a commitment to continuous improvement and a collaborative environment, this is a fantastic opportunity for someone passionate about data and marketing. Join now to help transform the running experience for millions of users!

Benefits

Flexible working hours

Biannual salary reviews

25 days holiday plus bank holidays

Workplace pension scheme

Private health insurance

Weekly dedicated workout hour

Equipment provided (MacBook, running watch)

Family care policy including paid leave

Qualifications

• 3+ years in data science focusing on marketing analytics.
• Strong statistical analysis and modeling skills.
• Experience in developing pLTV models.

Responsibilities

• Develop and optimize predictive models for user engagement.
• Own marketing measurement strategy and attribution modeling.
• Analyze datasets for actionable insights on user behavior.

Skills

Python programming

SQL

Statistical analysis

A/B testing

Cohort analysis

Predictive modeling

Data visualization

Digital marketing analysis

Education

Bachelor's degree in Data Science or related field

Tools

Jupyter Notebooks

Google Tag Manager

Mixpanel

Looker

Amazon Redshift

Snowflake

DynamoDB

Graph databases

Job description

We help everyday runners become outstanding by providing world-class training, coaching, and community for everyone, whether you're improving your 5k time or training for your first marathon. To date, we have built iOS, Android, and Apple Watch apps that assist users in achieving their goals by coaching them through their journey and syncing with their favorite fitness devices.

We’re growing rapidly. In November 2023, we closed a $6.5M funding round led by JamJar, with participation from Eka Ventures, Venrex, and Creator Ventures. In 2024, we were selected by Apple as one of three global finalists for the iPhone App of the Year, highlighting our innovation and impact. We aim to grow quickly and are seeking individuals who can help us reach this goal. For more about our background and growth, visit our Careers Page.

We’re looking ahead and want to build and scale Runna. Our goal is to reach millions of subscribers in the next five years and become the go-to training platform for runners. Now is a great time to join — we are still small, and everyone makes a foundational difference.

Who We’re Looking For

We seek a talented, hands-on, experienced problem solver to join our highly skilled cross-functional engineering team as our first Data Scientist focusing on Marketing Analytics. You will work closely with our growth, product, and engineering teams to analyze user behavior, optimize marketing strategies, and drive data-informed decisions to improve user acquisition and retention. You will collaborate directly with our Head of Growth and CTO to shape the future of Runna, with support throughout this exciting journey.

Your Role as a Data Scientist (Marketing)

• Data Modeling: Develop and optimize predictive models to forecast user engagement and lifetime value, guiding decision-making to acquire the right users and maximize ROI.
• Marketing Measurement: Own our marketing measurement strategy, including attribution modeling and incrementality testing, to clearly understand what drives performance across our marketing channels.
• Data Analytics: Analyze large datasets to extract actionable insights on user behavior, marketing campaign performance, and customer segmentation.
• Marketing Optimization: Collaborate with the performance marketing team to design and evaluate A/B tests, lift studies, and incrementality tests to optimize acquisition channels and improve conversion rates. Provide data-driven recommendations to enhance marketing ROI.
• Continuous Improvement: Stay updated on industry trends, emerging technologies, and best practices in data science and marketing analytics. Propose and implement improvements to data processes and workflows, working with engineering to automate where possible.

Requirements

What Experience We’re Looking For

If you don’t meet all the criteria below, we still encourage you to apply — we may be able to adjust the role or find a better fit for you. You can apply directly or contact us with questions.

Your Key Experience

• 3+ years in data science, focusing on marketing analytics or similar roles.
• Strong statistical analysis and modeling skills, including A/B testing, cohort analysis, and predictive modeling.
• Experience or leadership in developing a pLTV model.

Your Key Skills

• Proficiency with Python programming.
• Proficiency with SQL and experience with relational databases (e.g., Amazon Redshift, Snowflake). Bonus points for NoSQL (e.g., DynamoDB) and graph databases (e.g., Amazon Neptune).
• Experience with analytics tools like Jupyter Notebooks, BI tools, Google Tag Manager, Mixpanel, Looker.
• Understanding of digital marketing channels, metrics, and strategies, with experience analyzing data from platforms like Meta, Google Ads, and Google Analytics.
• Ability to translate complex data insights into clear, actionable recommendations for non-technical stakeholders.
• Detail-oriented with a commitment to high-quality work.
• Ability to work within a fast-paced, iterative environment alongside a skilled engineering team.

Bonus Points If You

• Quickly learn new skills or step outside your comfort zone, such as implementing tracking pixels, building data pipelines, or integrating disparate data sources.
• Have experience with B2C subscription business models.
• Have a strong interest in health/fitness technologies.

Our Tech Stack

Here’s a snapshot of our current technology stack:

Frontend

• React Native (iOS and Android)
• Typescript
• GraphQL (Apollo Client)
• Fastlane
• SwiftUI (Apple Watch)
• Maestro E2E tests

Backend

• Serverless (AWS)
• Lambdas (NodeJS & Python)
• AWS AppSync
• DynamoDB, S3, SQS, SNS, EventBridge, SageMaker
• Postman API tests

Other Tools

• Sentry
• GitHub Actions
• Intercom, Mixpanel
• RevenueCat
• App Store Connect / Play Store
• Google Tag Manager

Benefits

We offer:

• Salary level IV £80-95k based on experience.
• Flexible working (2-3 days in Vauxhall office).
• Biannual salary reviews or upon new investment.
• 25 days holiday plus bank holidays.
• Workplace pension scheme.
• Equipment: MacBook, running watch, and other essentials.
• Private health insurance.
• Family care policy including paid leave and fertility support.
• Weekly dedicated workout hour.

How to Apply

Apply HERE and we’ll handle the rest. Please let us know if you need accommodations during the interview process — we want you to perform at your best.

Questions? Visit our Careers Page and FAQ for more information.