Senior Applied Scientist

Bsport; Paris; Hybrid; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Competitive salary packages

Hybrid work model

Remote work from abroad

Discounted HelloCSE membership

Team-building events

Job summary

Bsport is seeking a Senior Applied Scientist to enhance their product through AI/ML models. This role involves ownership of models from ideation to deployment, partnering with engineering for implementation. The ideal candidate has 4+ years of experience in production machine learning and is fluent in Python. A hybrid work model is offered with an attractive compensation package.

Qualifications

• Around 4+ years of experience in building and shipping machine learning models.
• Fluent in Python with hands-on experience in ML solutions.
• Experience with production machine learning and model optimization.

Responsibilities

• Take ownership of product-facing ML models from problem definition to deployment.
• Develop AI/ML capabilities for user personalization and forecasting.
• Partner with engineering on deployment and model monitoring.

Skills

Machine learning implementation

Production-grade code

Recommendation systems

Personalization systems

Python

Tools

XGBoost

PyTorch

Databricks

Apache Airflow

AWS

Kubernetes

GitLab CI

ArgoCD

Grafana

Sentry

ELK

Job description

About the role

The Data team at bsport is building the intelligence layer behind our product: the models that personalise the experience, surface opportunities, and help studios operate and grow. This role exists to bring those models to life within the product itself, rather than to pursue ideas that stop at the prototype stage.

As a Senior Applied Scientist, you will build and ship the AI/ML that powers the bsport product. You will own product‑integrated models end to end, from problem framing and prototyping through to production deployment. Working closely with Product and Engineering, you will ensure these capabilities are delivered in the product and improved iteratively to enhance the user and customer experience. You will set the technical direction for the ML capabilities that differentiate bsport and raise the bar for how the team builds, ships, and measures.

What will be your impact

• Take end‑to‑end ownership of product‑facing models, carrying them from problem definition and experimentation through to a deployed and dependable solution.
• Develop the AI/ML capabilities our users experience directly, spanning personalisation, recommendations, LLM‑powered and generative features, embeddings, and forecasting.
• See your work through to production rather than handing it over, partnering with Engineering on questions of deployment, latency, cost, and ongoing monitoring.
• Establish a clear definition of success for each initiative, designing the metrics and evaluation that demonstrate genuine product impact and setting aside approaches that do not earn their place.
• Contribute to the technical direction of applied AI/ML at bsport, helping to shape the standards by which the team designs, ships, and measures its work.
• Support the development of fellow scientists and engineers, leading through the example of the work you deliver and the rigour you bring to it.

You would be great fit if you have

• You bring around 4+ years of experience building and shipping machine learning in production, including models that reached a real product and moved meaningful metrics.
• You think of yourself as a builder first, writing production‑grade code and taking responsibility for getting models live rather than leaving them in a notebook.
• You have genuine depth in modern machine learning, recommendation and personalization systems, embeddings, and forecasting.
• You are fluent in Python and have worked hands‑on on ML solutions.
• You have a track record of taking work developing solutions, from an open problem to a validated solution running in production.
• You communicate with clarity and move comfortably between technical peers and product stakeholders.
• Experience embedding machine learning into a live SaaS or consumer product would be a strong plus.
• Familiarity with the broader production path, including deployment, inference optimization, and model monitoring, is welcome.

Stack

• Languages: Python
• ML & Modeling: XGBoost, PyTorch
• Data Platform: Databricks, Apache Airflow
• Cloud & infra: AWS, Kubernetes
• CI/CD: GitLab CI, ArgoCD
• Observability: Grafana, Sentry, ELK

What We Offer

• Attractive compensation package: Competitive salary packages based on your experience and role.
• Work‑Life harmony: Hybrid model with 3 days per week in the office.
• Work from anywhere: Enjoy up to 15 days of remote work from abroad each year.
• Exclusive perks: Stay active with a specially discounted HelloCSE membership.
• Diverse fun loving team: Multicultural colleagues, after‑work events, team‑building & more.