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Zeta Global

Senior Data Scientist — Data Cloud Acceleration

Zeta Global · Berlin, Germany; Copenhagen, Denmark; Prague

Posted 8 days ago

or apply directly on Zeta Global's site. We never take the application ourselves.

Is this posting real?

This role has been open
8 days
Zeta Global's roles stay open a median of 45 days
Reposted
No
Salary listed
No
54% of Zeta Global's roles list one
Ghost-job risk at Zeta Global
high
91 stale, 0 reposted of 143 open
Hiring momentum
174 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Zeta Global's own greenhouse board since 2026-08-03. Full hiring picture for Zeta Global.

About this role

The Senior Data Scientist role at Zeta Global involves building models and analyses to enhance business decisions and client outcomes. The position requires independent ownership of deliverables, translating business questions into analytical approaches, and developing practical solutions using various statistical and machine learning methods. The candidate will also prepare data, create reusable workflows, and communicate progress effectively while collaborating with cross-functional teams.

Our read on this posting3.0out of 5
benefits
1/5
freshness
5/5
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 Zeta Global as an employer.

What you need

  • Experience applying statistical analysis and machine learning to real business problems
  • Strong Python skills and familiarity with libraries such as pandas, scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow
  • Strong SQL skills and experience analyzing large datasets
  • Experience with cloud data platforms such as Snowflake, Databricks, Athena, Hive, BigQuery, or similar technologies
  • Ability to explain analytical results and trade-offs to technical and nontechnical stakeholders

Nice to have

  • Experience developing classification, regression, clustering, forecasting, recommendation, optimization, or anomaly-detection solutions
  • Familiarity with model evaluation, experimental design, feature engineering, and statistical validation
  • Experience creating repeatable batch-scoring workflows or exposing model outputs through APIs or services
  • Familiarity with orchestration and automation tools such as Airflow, AWS Glue, Prefect, or similar platforms
  • Experience using version control, testing, and reproducible development practices

What you get

  • Excellent medical, dental, and vision coverage

Worth weighing

  • No salary listed
  • Role emphasizes practical solutions over technical novelty, which may appeal to some candidates but not others
  • The position requires a balance of speed and trustworthiness, which may lead to pressure in fast-paced scenarios

Summarised from Zeta Global's posting. Read the full original.

Listed by Zeta Global on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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