Senior Data Scientist, Demand Forecasting, Food Systems

23k - 36k PLN23 000 - 36 000 PLN/ mies./ mies.B2BB2B (netto)

SeniorHybryda·WarszawaFull-time·B2B

#439451·Dodano miesiąc temu·18

Źródło: nofluffjobs.com

🚫Oferta wygasła. Ta oferta pracy nie jest już aktywna i rekrutacja została zakończona.

Tech Stack / Keywords

PhDForecastingPython NumPy pandas scikit-learnMatplotlibData scienceGCP Azure GitAICommunication skillsDatabricks PySpark SQLBoost

Firma i stanowisko

HelloFresh is a global company with a HelloTech organisation employing over 1000 people, developing digital products for end-to-end food experiences including meal kits, ready-to-eat meals, pet food, and premium meat & seafood. HelloTech builds shared platforms used across multiple brands and markets, focusing on subscription-based, direct-to-consumer models that involve pricing, forecasting, supply chain optimization, and food waste reduction. The Warsaw office collaborates internationally on scalable, data-driven products using modern tech stacks.

Wymagania

Bachelor's, Master's, or PhD in econometrics, statistics, computer science, physics, economics, mathematics, data science or similar.
3+ years of experience as a (senior) data scientist focused on demand forecasting and developing time series and causal models.
Proficiency in Python and its scientific libraries including NumPy, pandas, scikit-learn, and Matplotlib.
Experience with Databricks and PySpark is a plus.
Strong knowledge of statistical modeling, handling uncertainties, and applying regressors and classifiers.
Ability to retrieve, manipulate, and analyze large heterogeneous datasets using SQL.
Experience working in cloud environments like AWS, GCP, or Azure for data science and ML workloads.
Familiarity with version control and collaboration workflows using Git.
Understanding or hands-on experience with GenAI-supervised development workflows.
Strong communication and collaboration skills to work with international teams and stakeholders.
Domain knowledge in supply chain is a big plus.
Enthusiasm for learning, critical thinking, creative problem solving, and teamwork.

Obowiązki

Take technical ownership of demand forecasting time series and causal models from data collection to operationalization.
Collaborate with cross-functional teams including product, demand planning, and engineering to translate business objectives into data-driven strategies.
Propose new approaches and evolve forecasting models aligned with company strategies.
Experiment and explore improvements to forecasting methodologies.
Work with technologies like AWS (EMR, Glue, S3), Kafka, PySpark, Airflow, and Databricks throughout the ML lifecycle.
Mentor and support data scientists and colleagues to foster knowledge sharing.
Communicate and collaborate with stakeholders including demand planners, ML engineers, product managers, and business stakeholders.

Benefity

Collaboration with experienced international engineers and product partners.
Opportunity to drive architecture, design, quality, and ways of working in a product-led setup.
End-to-end responsibility from problem definition to production deployment.
Access to workspace in Warsaw city center (Prosta 20) with modern facilities including showers, breakout zones, outdoor space, cycle parking.
Complimentary refreshments including coffee, soft drinks, and fruit.

Napoje w biurze

Prysznic

Parking dla rowerów

HelloFresh

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