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Bloomreach

Senior Machine Learning Engineer / Data Scientist

Bloomreach · Slovakia

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 drive personalization and predictions for over 1,400 global brands. Your role involves framing business problems, working with large behavioral datasets, and designing robust evaluation methods to ensure the effectiveness of your models. You will collaborate closely with ML Engineering to ensure smooth transitions from model development to production, while also communicating your findings to non-technical stakeholders.

Our read on this posting3.0out of 5
benefits
5/5
freshness
1/5
career value
4/5
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 in industry
  • Strong Python and genuinely strong SQL
  • Solid grounding in classical ML (tree-based models, regression, classification, clustering)
  • Real rigour on experiment design and evaluation
  • Comfort on a cloud data platform (GCP, BigQuery, Databricks)
  • A quantitative degree or equivalent practical depth

Nice to have

  • Real depth in at least one of: causal inference and uplift modelling, contextual bandits, ranking, recommendation or information retrieval, LLM evaluation or applied work with the GenAI stack
  • Experience using agentic coding tools daily

What you get

  • Flexible working hours
  • Virtual-first work environment with several Bloomreach Hubs
  • Paid volunteering days (5 days off)
  • Professional education budget of $1,500 annually
  • Employee Assistance Program with counselors
  • Subscription to Calm app for sleep and meditation

Worth weighing

  • No specific mention of the tech stack beyond GCP and Databricks
  • Role heavily focused on modeling and data science, may not suit those interested in ML product engineering or MLOps
  • Salary range provided, but actual compensation may vary based on multiple factors

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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