or apply directly on Bloomreach's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 54 days Bloomreach's roles stay open a median of 55 days
- Reposted
- No
- Salary listed
- No 12% of Bloomreach's roles list one
- Ghost-job risk at Bloomreach
- high 54 stale, 4 reposted of 78 open
- Hiring momentum
- 105 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-27
Measured from postings appearing on and disappearing from Bloomreach's own greenhouse board since 2026-08-03. Full hiring picture for Bloomreach.
About this role
As a Senior Data Scientist at Bloomreach, you will focus on building and evaluating machine learning models that enhance personalization and predictions for a diverse range of clients. Your day-to-day responsibilities will include framing business problems, analyzing large datasets, designing experiments, and collaborating with ML engineering to ensure successful deployment of models. You will also communicate your findings to various stakeholders, ensuring that your work directly impacts business metrics.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- 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 Bloomreach as an employer.
What you need
- 5+ years building ML models that shipped and were used by someone other than you
- Strong Python and genuinely strong SQL
- Solid grounding in classical ML
- Real rigour on experiment design and evaluation
- Comfort on a cloud data platform
- A quantitative degree, or equivalent practical depth
Nice to have
- Real depth in causal inference and uplift modelling
- Experience with contextual bandits, sequential decision-making, or off-policy evaluation
- Knowledge in ranking, recommendation or information retrieval
- Experience with LLM evaluation or applied work with the GenAI stack
- Daily use of agentic coding tools
What you get
- Flexible working hours
- Virtual-first work environment with hubs available
- Paid volunteering days
- Professional education budget of $1,500 annually
- Employee Assistance Program
- Subscription to Calm app
Worth weighing
- No specific mention of team size or structure
- The role is centered on modeling and data science, with less emphasis on ML product engineering or MLOps
- The pay range is broad and may vary based on several factors
- The company has a strong culture of freedom and responsibility, which may not suit everyone
Summarised from Bloomreach's posting. Read the full original.
Listed by Bloomreach on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.
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