HelloFresh

Senior Data Scientist, Growth Alliance (f/m/x)

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

SeniorHybryda·WarszawaFull-time·B2B

#448800·Dodano 23 dni temu·8

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Python NumPy pandas scikit-learnMatplotlibSQLAIDegreePhDDatabricks Spark Docker AWSCloud

Firma i stanowisko

HelloFresh is a company operating in food subscription and meal kit delivery with a global technology backbone called HelloTech employing over 1000 people. HelloTech builds digital products that power the end-to-end food experience from customer apps to supply chain optimization. The Growth Alliance team focuses on marketing engine aspects such as media investment, conversion funnel, and personalized customer communication in a subscription-based direct-to-consumer model.

Wymagania

Proven track record of scientific work with a Bachelor's, Master's, or PhD in statistics, physics, economics, mathematics, data science, or related quantitative field.
Minimum 3 years of professional experience as a senior data scientist or similar quantitative role, preferably in e-commerce, marketing, or high-traffic consumer environments.
Strong marketing and/or growth domain knowledge with experience applying statistical models such as regressors and classifiers.
Fluency in Python and its scientific stack (NumPy, pandas, scikit-learn, Matplotlib).
Proficient in retrieving and analyzing data with SQL.
Familiarity with software engineering practices and tools such as Git, Docker, and cloud environments like AWS.
Experience with Databricks and Spark is a plus.
Comfortable using recent Generative AI tools in solution design.
Critical thinker and creative problem solver with ability to prioritize solutions based on impact.
Excellent communication skills and ability to collaborate internationally across diverse stakeholders.

Obowiązki

Design, build, and take ownership of statistical and machine learning models from data collection to production, aligning with non-technical stakeholders.
Collaborate within cross-functional teams including engineering, product, and marketing to translate business objectives into data-driven strategies.
Design experiments, define success metrics and guardrails, and interpret results accounting for statistical uncertainty, noise, and bias.
Continuously monitor and refine model performance, data reliability, and drift in production.
Retrieve, manipulate, and analyze large heterogeneous datasets and build supporting data pipelines.
Proactively identify improvements for data products delivered to stakeholders.
Support and coach junior data scientists as a senior team member.

Benefity

Global collaboration with experienced engineers and product partners across international teams.
Opportunity to build and operate modern systems at global scale supporting millions of customers.
Influence architecture, design quality, and workflows in autonomous, product-led teams.
Ownership from problem definition to production delivery and scalability improvements.
Access to modern workspace facilities in Warsaw including showers, breakout zones, outdoor space, cycle parking, and complimentary refreshments such as coffee, soft drinks, and fruit.

Prysznic

Parking dla rowerów

Napoje w biurze

Darmowe przekąski

HelloFresh

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