or apply directly on Braze's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Braze's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- No 4% of Braze's roles list one
- Ghost-job risk at Braze
- high 282 stale, 8 reposted of 287 open
- Hiring momentum
- 397 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Braze's own greenhouse board since 2026-08-03. Full hiring picture for Braze.
About this role
As a Data Scientist II at Braze, you will work within the Forward-Deployed Data Scientist group, collaborating with customer analytics teams and Braze colleagues to implement data solutions. Your responsibilities will include defining use cases, setting up data pipelines, improving product architecture, and refining reinforcement learning algorithms. You will also contribute to product strategy through customer insights and ensure successful adoption of solutions.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Braze as an employer.
What you need
- Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field
- Proven track record as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
- Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
- Skilled in SQL for querying/manipulating datasets
- Experience in machine learning pipelines and model deployment
- Ability to write well-structured, modular, documented code and follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
Nice to have
- Master’s or PhD in a relevant technical discipline
- Experience in customer-facing or consulting roles
- Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP)
- Experience in data integration/ETL and pipeline optimization
- Experience with reinforcement learning algorithms
What you get
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
Worth weighing
- No specific salary listed
- Role involves customer-facing responsibilities which may require strong interpersonal skills
- The job description emphasizes a high standard of performance and autonomy, which may not suit everyone
- The company culture appears to prioritize work-life harmony, but specifics on how this is implemented are not detailed
Summarised from Braze's posting. Read the full original.
Listed by Braze on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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