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Thu Jun 06 2024
Warner Bros. DiscoveryLogo

Senior Data Scientist (Maternity Cover)

Warner Bros. Discovery

Poland (Warsaw) Hybrid


Employment Type: Full-time
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Job Description

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…
When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Key Responsibilities
  • cleaning, processing, analyzing and exploring various data types
  • analyzing datasets to discover trends and patterns that can be translated into business insights
  • building models predicting future data and analyzing anomalies
  • exploring user behavior to determine their segments
Required Qualifications And Experience
  • exploratory data analysis (EDA): Visualisation and statistical data analysis techniques to understand distributions, patterns, anomalies and relationships in data sets
  • data processing and cleaning: Techniques for removing missing data, dealing with outliers, variable transformation, category coding and feature scaling
  • supervised learning algorithms: Techniques such as linear regression, logistic regression, decision trees, random forests, gradient boosting, support vector machines (SVMs), neural networks
  • unsupervised learning algorithms: Techniques such as cluster analysis (e.g. K-means, DBSCAN), dimension reduction (e.g. PCA, t-SNE), factor analysis, association analysis
  • deep Learning: Techniques concerning the construction and training of deep neural networks, such as convolutional networks (CNNs), recurrent networks (RNNs), autoencoders, GANs
  • feature engineering: Techniques for creating and selecting features that are critical to improving the performance of ML models, including feature selection methods (e.g. LASSO, RFE), creation of new features, feature extraction
  • hyperparameter optimisation: Techniques for tuning hyperparameters of models, such as grid search, random search, Bayesian optimisation
  • model evaluation and metrics: Techniques for evaluating model performance, such as cross-validation, statistical tests, analysis of metrics (e.g. accuracy, precision, recall, F1-score, AUC-ROC)
  • visualisation of data and results: Data visualisation techniques such as line charts, bar charts, box plots, heat maps, scatter diagrams, and tools such as Matplotlib, Seaborn, Plotly
  • model implementation and deployment: techniques for implementing and deploying models in production, such as serialising models (e.g. pickle, joblib), deploying models using APIs (e.g. Flask, FastAPI), monitoring model performance after deployment
  • proficiency with foundational models and other generative AI techniques.
  • knowledge of programming tools and languages such as Python, SQL, and cloud computing platforms and tools (e.g. TensorFlow, PyTorch, Scikit-learn, AWS, Google Cloud, Azure)
We Offer
  • contract of employment
  • hybrid work model, flexible working hours (3 days from the office, 2 days from home)
  • free access to and HBO Max
  • benefit package: private medical health care, life insurance, MyBenefit cafeteria including sport card, social funds, retirement pension plans, recognition platform, employee referral program
  • work-life balance initiatives: wellbeing platform, yoga, massages, educational webinars, Employee Assistance Program, internal media initiatives
  • training & development: sharing the cost of English lessons, Employee Resource Groups, e-learning platform, sharing sessions with experts, periodic movie shows in the office cinema room
  • CSR activities: volunteering, eco & social initiatives
  • casual dress code
  • parking space available for booking
How We Get Things Done…
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you’re a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at
Apply for this job
🍀 Please mention you found the job on EU Data Jobs. It helps us reach out to more companies. We wish you lots of success! 🍀

About the Company

Warner Bros. DiscoveryLogo

Warner Bros. Discovery
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Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world’s most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines WarnerMedia’s premium entertainment, sports and news assets with Discovery’s leading non-fiction and international entertainment and sports businesses.


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