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Data Scientist III

9 hours, 45 minutes ago
Poland
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Airflow AWS Azure Feature Engineering GCP Go Java Kubeflow Machine Learning Python PyTorch Reinforcement Learning SQL Statistics TensorFlow Vertex AI
Apply Now
OpenX

OpenX

OpenX is a global leader in digital and mobile advertising technology, fostering a fair and transparent value exchange between publishers and advertisers to maximize revenue across all screens.

Media
51-250
Founded 2007
$71M raised
View All Jobs 7

Description

  • Own the end-to-end data science lifecycle for moderately complex models, including data ingestion, feature engineering, modeling, validation, deployment, monitoring, and retraining.
  • Apply machine learning and statistical methods such as gradient-boosted models, deep neural networks, time series, causal inference, and experimentation design to complex problems.
  • Write efficient, modular, well-tested code for data processing, feature engineering, and model training or inference.
  • Leverage distributed tooling such as Vertex AI pipelines, Dataflow, and BigQuery when appropriate.
  • Design robust validation frameworks for models and experiments, accounting for bias and real-world performance.
  • Define analytical approaches and scope data science projects for ambiguous business problems.
  • Partner with product managers and stakeholders to define success metrics, experiment goals, and data science solutions.
  • Lead the design and analysis of experiments such as A/B tests and switchback tests, and interpret results into actionable insights.
  • Mentor DS I and DS II scientists through technical guidance, code review, analysis review, and model review.
  • Influence technical decisions, improve team standards and best practices, and educate stakeholders on model capabilities and limitations.

Requirements

  • B.S. or M.S. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or a related technical field with 5+ years of relevant industry experience; or a Ph.D. in a related field with 2+ years of relevant experience.
  • Demonstrated ability to independently own the full data science lifecycle from problem formulation through deployment, monitoring, and ongoing maintenance.
  • Strong expertise in several core areas of machine learning and/or statistics, including gradient-boosted models, deep neural networks, time series, causal inference, or experimentation design.
  • Strong foundation in probability and statistics, including techniques that scale to large datasets.
  • Experience designing and analyzing experiments such as A/B tests and building robust model and experiment validation frameworks.
  • Strong Python and SQL skills.
  • Experience with ML frameworks such as TensorFlow or PyTorch.
  • Ability to write efficient, modular, well-tested code and collaborate with engineering to move models and analyses into production.
  • Strong communication skills for explaining complex technical concepts to technical and non-technical audiences.
  • Preferred: experience developing, evaluating, or optimizing models or bidding algorithms for RTB environments.
  • Preferred: experience with cloud platforms such as GCP, AWS, or Azure, especially GCP and Vertex AI.
  • Preferred: experience with ML pipeline and orchestration tools such as TFX, Kubeflow, or Airflow.
  • Preferred: familiarity with Java and Go.
  • Preferred: experience in digital media, marketing technology, or advertising technology, especially marketplace, auction, or exchange systems.
  • Preferred: experience supporting and improving production ML models beyond initial deployment.
  • Preferred: experience mentoring junior data scientists.

Benefits

  • Employment contract with 19,550–21,850 PLN gross monthly or B2B contract at 160–179 PLN net hourly.
  • Annual performance bonus.
  • Private health care for you and your family, covered by OpenX.
  • Private life and travel insurance.
  • Access to LinkedIn Learning and tech workshops.
  • Holiday allowance and an additional paid day off.
  • Pension scheme (PPK from PZU).
  • Monthly work-from-home allowance plus a one-time home office setup payment.
  • Free parking lot and access to a peer-to-peer recognition platform.
  • Tax-deductible system due to copyright protection at 75%.
  • MultiKafeteria program.

Interested in this position?

Apply directly on the company website

Apply Now

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