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Bloomreach

Senior Machine Learning Engineer / Data Scientist

Bloomreach · Czechia

Posted about 2 months ago

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.

Our read on this posting3.2out of 5
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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