Fetcherr

Data Scientist - Deep Learning Forecasting

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SeniorHybryda·WarszawaFull-time·B2B

#449941·Dodano miesiąc temu·3

Źródło: justjoin.it

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Tech Stack / Keywords

PythonData ScienceMachine Learning PyTorch Deep Learning NumPy Pandas

Podsumowanie oferty

As a senior Data Scientist at Fetcherr, you will develop and implement advanced econometric and machine learning models for demand forecasting within the Large Market Modeling team. The role focuses on enhancing machine learning capabilities to deliver real-world business impact and accurate market predictions. You will collaborate cross-functionally to deploy ML systems and communicate complex findings to stakeholders.

Wymagania

Over 5 years of hands-on experience in data science and machine learning with proven business impact.
Proficiency in Python and its ML/data stack including PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn.
Expertise in time-series forecasting, ideally using deep learning, preferably in demand prediction.
Experience in feature engineering, feature importance testing, and explainability.
Master’s or PhD degree in Computer Science, Machine Learning, Statistics, Engineering, or related fields.
Solid understanding of ML production workflows like versioning, testing, reproducibility, and deployment.
Excellent communication and collaboration skills.

Nice to have:

Publications in top-tier peer-reviewed ML/AI venues (e.g., ICLR, ICML, NIPS).
Experience applying ML in finance, trading, or revenue management.
Familiarity with GCP cloud solutions such as Vertex AI, PubSub, Cloud Run Functions.
Strong data visualization and exploratory data analysis skills.
Familiarity with code optimization, containerization (e.g., Docker), CI/CD, and cloud-native architectures.
Participation in competitive programming or data science challenges (e.g., Kaggle).

Obowiązki

Develop and implement state-of-the-art econometric and machine learning models for demand forecasting.
Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability.
Collaborate with cross-functional teams including product, data engineering, MLOPS, and Platform to deploy ML systems in production.
Clearly communicate complex technical findings to non-technical stakeholders, such as product leaders and executives.

Inne informacje

Please be informed that the data controller is Fetcherr (hereinafter "controller"). You have the right to request access to your personal data, their rectification, erasure or restriction of processing, the right to object to processing, as well as the right to data portability and to lodge a complaint to the supervisory authority. Personal data will be processed for the purpose of the recruitment process. Provision of data to the extent resulting from the Act of 26 June 1974 Labour Code is mandatory. In the remaining scope, providing data is voluntary. Refusal to provide mandatory data may result in the impossibility to carry out the recruitment process. The Administrator processes mandatory data on the basis of a legal obligation incumbent upon him/her, while with regard to additional data, the basis for processing is consent. Personal data will be processed until the recruitment procedure is completed and for the period of the possibility of asserting potential claims, and in the case of consent to participate in future recruitment procedures - until the withdrawal of such consent. Consent to the processing of personal data can be withdrawn at any time. The recipient of the data is the Rocket Jobs service and other entities to whom we have entrusted the processing of data in connection with recruitment.

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