Data Engineer/Scientist

We are Magma, the first true collaboration solution for professional art. Think of us as a combination of Google Docs, Photoshop, and Miro. As the world’s appetite for content continues to grow, creative projects require the production and management of an ever-increasing amount of art. Both the video game and content production industries struggle to keep up with the pace of production, adapt to remote work, and manage globally sourced talent. Magma places collaboration at the center of it all and provides teams with the necessary tools to increase their efficiency in creating art, becoming a core part of an artist’s workflow from starting out to building a career.

We are venture capital-backed and have top talent on board to support our rapid growth. Our experienced founding team has made key hires and brought on advisors, including world-renowned artists.

We have a user base of 2 million registered users and 70,000 daily users, and we’re growing rapidly. As we scale our operations, we understand the value of data-driven decision-making across all aspects of our business.

Our ideal Data Scientist is not just about crunching numbers; you understand how to design a new data collection pipeline and then turn that data into actionable insights that can shape the future of Magma. With you onboard, we can bring data to the forefront of our operational, marketing, and product strategies.

This role reports directly to our COO and plays a pivotal part in aligning our data analysis needs across different departments. You’ll work cross-functionally, providing valuable insights to multiple departments:

• Commercial Team: You will collaborate with the Commercial Team to identify potential market opportunities and customer segmentation, helping to drive revenue and business development.
• Product Team: Working closely with the Product Team, you will help refine product features and user experiences, informed by data analytics.
• Engineering Team: Partner with engineers to build scalable data infrastructure, ensuring seamless data collection and analysis.
• Growth Hacking: Leverage data to identify growth opportunities and support initiatives aimed at user acquisition, retention, and engagement.

What you’ll do

• Design and implement data collection strategies aligned with business objectives.
• Collaborate with different departments to gather data collection requirements and ensure data quality and accuracy.
• Work with leadership and other departments to validate and define data metrics, ensuring alignment with organizational goals.
• Create and maintain dashboards for real-time business intelligence and historical analysis.
• Provide data-driven recommendations to support key initiatives across marketing, product, and community departments.
• Analyze large datasets to identify patterns, trends, and anomalies.
• Conduct hypothesis tests to validate data-driven assumptions and provide actionable insights.
• Utilize machine learning algorithms to predict user behavior and enhance decision-making processes.

Company values

• Make things happen (Embrace an entrepreneurial spirit. Act with boldness and agility. Your ideas matter here. Seek progress, not perfection. Innovation reigns supreme, and hierarchy bows to progress.)
• Be kind (Foster empathy, respect, and compassion, Be the teammate you wish to have)
• Build something that you’ll be proud of (Create with passion, strive for excellence. Your work reflects you; make it extraordinary.)
• Don’t be afraid to speak your mind (Cultivate an environment of honesty and transparency. Your voice is our driving force.)
• Listening is harder than speaking (Commit to understanding, not just hearing. Transform every conversation into a learning opportunity.)
• Feedback is the best opportunity to grow (Embrace constructive criticism. Personal growth is a collective journey.)
• Facts are more important than opinions (Uphold integrity, strive for truth. Facts lead the way, opinions enrich the path.)
• Go the extra mile to make the user happy (Customer delight isn’t an extra; it’s our core. Transform every interaction into a memorable experience.)
• Eat your own dog food (Believe in what we build. Be the first to experience our innovation.)

Work culture

• Trust & Autonomy (Your expertise is valued, and your autonomy respected. Manage your time as you see fit. Need a midday break? Enjoy it guilt-free.)
• Flexibility & Freedom (Choose your work hours, location and your work attire. Join us for exciting offsites around the world, or at an opt-in remote property (e.g. Thailand, Austin, London) for a unique work-travel experience.)
• Collaboration & Ownership (Have an impact on culture, values, and processes. Your role is not confined by your title; your influence is boundless.)
• Inclusion & Passion (Be part of something bigger. Contribute to creative projects with leading artists and developers. Find a perfect blend of technology and creativity, shaping the future of art collaboration.)

What you’ll need

• Solid understanding of data fundamentals: data structures, data modeling, and data querying
• Familiarity with BI dashboard tools.
• Solid knowledge of product analytics tools such as Posthog (which we currently use) or Mixpanel (which we migrated from)
• Proficiency in SQL for complex querying of data stores, even beyond the capabilities of product analytics tools such as Posthog or Mixpanel
• Familiarity with programming languages for data manipulation and analysis (Typescript/Python)
• Solid knowledge of Google Analytics
• Proficiency in relational databases like PostgreSQL and NoSQL databases like MongoDB
• Experience in using data visualization tools
• Ability to work with a variety of data sources: APIs, web scraping, direct database access
• Oversee data integrations with third-party tools in our tech stack and manage corresponding ETL processes for a comprehensive business view.
• Strong knowledge of statistical analysis and its application in business
• Excellent problem-solving skills and attention to detail
• Flexibility to work with team members and stakeholders in different time zones
• Fluent English proficiency (both written and spoken)
• Mindset of using whatever tool to get the job done, including AI chat bots

It would be great if you have

• Experience with machine learning algorithms and predictive modeling
• Prior experience in A/B testing and optimizing conversion rates
• Background in customer segmentation and personalization strategies
• Knowledge of data governance and security best practices
• Familiarity with growth hacking principles and strategies

Bonus points for

• Certification in relevant data analytics courses or platforms
• Previous experience in assisting growth hacking processes from a data collection and analysis perspective

What you get

• Competitive salary based on experience and skillset
• Stock Options that make you a co-owner in the company (our investors are backing us for a >20x increase in company value)
• Learn how startups work from the inside-out and be an integral part to a fast growing company
• Unparalleled work flexibility, fully remote position
• Annual company-wide global offsite. We’ll pay for you to fly in, have fun and collaborate together
• Every half a year we’ll host a regional offsite (Europe/US/Asia)
• Regular remote team fun with food and drinks covered
• Periodically we will pay for a remote property (such as in Thailand) which can act as an opt-in remote office. This is completely optional but a nice option to mix work and travel

Tech stack

We primarily use MongoDB for our databases, and our current analytics tool is Posthog. You will also be exposed to other technologies and data sources, such as APIs and web scraping tools.