Awin

Senior Data Scientist (f/m/d)

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SeniorZdalnie·WarszawaFull-time

#448609·Dodano miesiąc temu·4

Źródło: Awin

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Tech Stack / Keywords

Python NumPy PySpark Scikit-learn TensorFlow PyTorch DatabricksDelta LakeMLflow

Firma i stanowisko

Established in 2000, Awin is part of the Axel Springer group. Awin focuses on building the world’s leading open partner ecosystem and supports a diverse and inclusive culture.

Wymagania

5+ years of experience as a Data Scientist, Machine Learning Engineer, Applied Scientist, or similar role.
Proven experience delivering machine learning and analytical solutions from discovery through deployment and business impact.
Advanced proficiency in Python and relevant data science libraries, including NumPy, PySpark, Scikit-learn, TensorFlow, and/or PyTorch.
Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow.
Experience collaborating with business stakeholders to define problems, scope solutions, and communicate outcomes.
Experience mentoring data scientists or providing technical leadership within a cross-functional team.
Bachelor's degree or higher in Statistics, Mathematics, Computer Science, Data Science, Engineering, or related quantitative discipline.
Strong statistical, analytical, and problem-solving skills.
Expertise in machine learning and predictive modelling with deployment experience.
Ability to evaluate and refine models using experimentation and performance metrics.
Strong stakeholder management and communication skills.
Ability to operate independently and prioritize tasks for business impact.
Collaborative mindset for effective cross-team work.

Obowiązki

Lead development and deployment of machine learning, forecasting, recommendation, and analytical solutions creating measurable business impact.
Partner with Product, Commercial, Engineering, and Data teams to identify opportunities and translate business challenges into data-driven solutions.
Design and implement evaluation frameworks, experiments, and success metrics to measure performance and business outcomes.
Apply statistical modelling, machine learning, and advanced analytical techniques to solve complex business problems.
Build scalable feature engineering, model development, and deployment workflows with Data Engineering and Software Engineering teams.
Drive rapid MVP development ensuring sustainable production solutions.
Define and promote best practices for model development, evaluation, monitoring, and governance.
Mentor and support other data scientists, contributing to technical capability and knowledge sharing.
Communicate findings, recommendations, and technical concepts clearly to technical and non-technical audiences.
Contribute to the evolution of the Data Science roadmap, identifying new opportunities for advanced analytics and machine learning.

Benefity

Four-day Flexi-Week with one lighter or disconnected day weekly at full pay, no reduction to annual holiday allowance.
Hybrid/remote working scheme offering flexibility and an international culture.
Monthly allowance for work expenses and furniture package for home workspace setup.
Support and access to initiatives and sports offers promoting mental and physical wellbeing.
Extensive training suite, Awin Academy, supporting professional and personal growth.
Peer-to-peer recognition programme with vouchers to appreciate and reward colleagues.
Additional benefits including health and wellbeing offerings discussed during the initial interview.

Elastyczne godziny

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Awin

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