Alps2Alps ski transfers
Opportunities to join us!
Product Data Scientist
First Product/Data Analyst — Build the Data Foundation of our new project We’re building a one-click, emotionally intelligent booking platform that turns messy planning into a seamless, inspiring experience. We already have 400K+ travelers in our ecosystem and are backed by strategic investors. Now we need ourfirst Product/Data Analyst— the person who will set up the entire data foundation across product, marketing, and business. What You’ll Do
Own end-to-end analytics: from raw data pipelines to insights for product, growth, and leadership. Define and track core product metrics (conversion, drop-offs, LTV, upsells). Design and evaluate hypotheses with A/B tests and advanced statistical methods. Build and run ML use cases: churn prediction, personalization, segmentation, scoring. Set up and maintain scalable ETL/ELT pipelines and event tracking (GA4, Mixpanel, Amplitude). Work with columnar databases (BigQuery, Snowflake, ClickHouse, Redshift) for large-scale datasets. Create dashboards and automate reporting for product, marketing, and leadership. Ensure data quality and governance across the company. Translate complex analysis into clear, actionable decisions that drive growth. What We’re Looking For
4–6 years in Data Science, Product Analytics, or Data Engineering. Strong Python (pandas, numpy, scikit-learn; PyTorch/TensorFlow is a plus). Advanced SQL and experience with large-scale databases. Solid statistics and experimental design background. Experience building ML models in production. ETL/ELT, data modeling, orchestration (Airflow/dbt). Hands-on with BI and visualization tools (Looker, Tableau, Metabase, etc.). Comfort working in a fast-moving, zero-to-one environment. Nice to Have
Experience in travel-tech, marketplaces, or e-commerce. Real-time ML / recommendation systems. UX analytics and user research experience. Startup or early-stage background. Why Join
First hire in data— shape the full analytics layer from scratch. Work on aglobal consumer productwith 400M skier visits worldwide market. Be part of afunded, international teamwith deep travel & tech expertise. Build the future of predictive, emotion-aware travel.
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Product Data Scientist
First Product/Data Analyst — Build the Data Foundation of our new project We’re building a one-click, emotionally intelligent booking platform that turns messy planning into a seamless, inspiring experience. We already have 400K+ travelers in our ecosystem and are backed by strategic investors. Now we need ourfirst Product/Data Analyst— the person who will set up the entire data foundation across product, marketing, and business. What You’ll Do
Own end-to-end analytics: from raw data pipelines to insights for product, growth, and leadership. Define and track core product metrics (conversion, drop-offs, LTV, upsells). Design and evaluate hypotheses with A/B tests and advanced statistical methods. Build and run ML use cases: churn prediction, personalization, segmentation, scoring. Set up and maintain scalable ETL/ELT pipelines and event tracking (GA4, Mixpanel, Amplitude). Work with columnar databases (BigQuery, Snowflake, ClickHouse, Redshift) for large-scale datasets. Create dashboards and automate reporting for product, marketing, and leadership. Ensure data quality and governance across the company. Translate complex analysis into clear, actionable decisions that drive growth. What We’re Looking For
4–6 years in Data Science, Product Analytics, or Data Engineering. Strong Python (pandas, numpy, scikit-learn; PyTorch/TensorFlow is a plus). Advanced SQL and experience with large-scale databases. Solid statistics and experimental design background. Experience building ML models in production. ETL/ELT, data modeling, orchestration (Airflow/dbt). Hands-on with BI and visualization tools (Looker, Tableau, Metabase, etc.). Comfort working in a fast-moving, zero-to-one environment. Nice to Have
Experience in travel-tech, marketplaces, or e-commerce. Real-time ML / recommendation systems. UX analytics and user research experience. Startup or early-stage background. Why Join
First hire in data— shape the full analytics layer from scratch. Work on aglobal consumer productwith 400M skier visits worldwide market. Be part of afunded, international teamwith deep travel & tech expertise. Build the future of predictive, emotion-aware travel.
#J-18808-Ljbffr