Senior Data Scientist bei Xplor

About Mariana Tek 

Mariana Tek is a leading boutique fitness technology platform under Xplor Technologies. We power the most forward-thinking fitness brands with sleek booking experiences, real-time insights, and rich member data. Our mission is to enable fitness operators to deliver seamless, connected experiences that drive retention and growth. 

We’re now evolving our reporting platform into Insights 2.0 - a new generation of intelligent dashboards that empower our customers with predictions, personalized recommendations, and automated decision support. 

We’re hiring under a newly created role, Senior Data Scientist, to join our Insights team and build the brains behind our dashboards. You’ll be hands-on in developing machine learning models that transform raw data into valuable business outcomes, like predicting member churn, forecasting class demand, or segmenting behavioral patterns. 

This role sits at the intersection of data science and product, contributing directly to the future of Mariana Tek’s analytics offerings. 

Key Responsibilities 

• Support our goals of delivering best-in-industry data and standardizing our data practices 

• Build and refine predictive models for member churn risk, class booking behaviors, and member segmentation and trends 

• Prototype intelligent dashboard features such as forecasting and benchmarking, smart recommendations (e.g. class suggestions or price change triggers), risk and opportunity alerts 

• Enrich internal models by linking external data sources (e.g. weather, location data) to studio performance 

• Collaborate with Engineering and Product teams to productize models, monitor performance, and iterate based on results 

• Stay up to date with advances in ML/AI, testing new ideas that could bring value to our customers 

About You 

• 5+ years in a data science, ML engineer, or similar role, ideally in a product-led environment 

• Proven experience deploying predictive models in production 

• Proficient in Python (e.g. scikit-learn, pandas) and SQL 

• Comfortable with cloud data platforms like Snowflake and AWS 

• Ability to communicate data findings clearly to non-technical stakeholders 

• Bonus points for experience in fitness, wellness, or consumer behavior domains 

What Success Looks Like 

• Insights 2.0 dashboards provide meaningful, trustworthy predictions that operators act on 

• Customers feel empowered with data, leading to improved retention and revenue 

• Mariana Tek is viewed as the most forward-thinking platform for analytics in boutique fitness 

Why Join Us 

• Shape the future of intelligent analytics for thousands of fitness studios 

• Join a collaborative and ambitious team focused on solving real business problems 

• Make an immediate impact on a flagship product used daily by operators and owners 

What does it mean to work for Xplor?

Our four core values - Make life simple, Build for people, Move with purpose and Create lasting communities - are key to who we are and guide us from how we hire to how we recognise our team members.

Life at Xplor

You’ll be part of a global network of talented colleagues who support your success. We look for commonalities and shared passions and give people the tools they need to deliver great work and grow at speed. 

Some of the perks of working with us: 

• 12 weeks Gender Neutral Paid Parental Leave for both primary and secondary carer
• #GiveBackDays/Commitment to social impact – 3 extra days off to volunteer and give back to your local community
• Ongoing dedication to Diversity & Inclusion initiatives such as D&I Council, Global Mentorship Program
• Access to free mental health support
• Flexible working arrangements

The average base salary pay range for this role is between $140,000 to $155,000

May be considered for a discretionary bonus 

More about us 

We are the first global platform combining SaaS with embedded payments and tools to help businesses grow and succeed. We offer software solutions in fast-growing “everyday life” verticals: Education, Fitness & Wellbeing, Field Services and Personal Services – and a global, cloud-based payment processing platform. With operations in North America, Australasia, Asia, Europe, and the UK, we serve over 106,000 customers that processed over $38 billion in payments across 20 markets in 2024.

Good to know

To be considered for employment, you must be legally authorized to work in the location (country) you're applying for. Xplor does not sponsor visas, either at the time of hire or at any later time. 

We kindly ask you to apply through our careers portal or external job boards only. Please don't send your application via email.

To learn more about us and our products, please visit www.xplortechnologies.com/careers. 

We also invite you to check out our Candidate FAQs for more information about our recruitment process www.xplortechnologies.com/recruitment-faqs.

EEO and Artificial Intelligence

Please note that we do not exclusively rely on artificial intelligence (AI) when making hiring, promotion or any other employment decisions. We don’t have any AI tools in place that are capable of making these kinds of hiring decisions for us.

Xplor is proud to be an Equal Employment Opportunity employer. We're dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability, veteran status and age. Applications are encouraged from all sectors of the community. All Information will be kept confidential according to EEO guidelines. 

Xplor is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Xplor will take steps to ensure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact us via [email protected]. 

We make it a priority to respond to each person who applies.

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