Position has been filled
companyBraze logo

Senior Forward Deployed Data Scientist, AI Deployment

BrazeParis
On-site Full-time
Position filled

Experience Level

Senior

Qualifications

WHO YOU AREEducation: A Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field is required; a Master’s or PhD in a relevant technical discipline is preferred. Experience: 3–5+ years of practical experience as a Data Scientist, Machine Learning Engineer, or in a similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred. Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost).

About the role

At Braze, we have cultivated a diverse and passionate team that champions collaboration and kindness. We believe in setting ambitious goals while ensuring work-life balance as we navigate our global growth, striving for equity and opportunity both within and outside our organization.

To thrive in our environment, you should be ready to challenge yourself and contribute actively. Embracing autonomy, accountability, and open-mindedness are key to our ongoing success.

Our insatiable curiosity and the willingness to share our diverse passions create a vibrant company culture that fosters innovation.

If you are motivated to tackle exciting challenges and take proactive steps in a dynamic environment, you will find a supportive and driven team at Braze. We look forward to welcoming you!

WHAT YOU'LL DO

As our customer base expands in response to the excitement surrounding BrazeAI, we are enhancing our Field Data Scientist team of innovative technical experts who collaborate with our clients to ensure their success. In this role, you will:

  • Partner with customer Analytics/BI teams and Braze colleagues on various implementations, including use case definition, data integration, pipeline setup, and ML model configuration.
  • Enhance product capabilities by optimizing architecture and developing reusable data pipelines, APIs, and components.
  • Collaborate closely with the reinforcement learning pipeline development team to refine and advance our self-learning algorithms.
  • Contribute valuable insights and technical expertise to help shape Braze's product strategy and roadmap.
  • Provide continuous technical expertise to ensure the successful adoption of solutions, measurable outcomes, and lasting customer success.

About Braze

Braze is a vibrant organization where kindness meets innovation. We prioritize teamwork and are committed to fostering a culture of learning and growth. Our mission is to empower our customers through cutting-edge technology and exceptional support, creating lasting partnerships that drive success.

Similar jobs

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.