Aktualne oferty pracy związane z Data Scientist with Adobe tools - Warszawa, mazowieckie - Sii
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Warszawa, mazowieckie, Polska Google Pełny etatMinimum qualifications:Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis,...
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Warszawa, mazowieckie, Polska Google Pełny etatAbout the jobWe collaborate closely with engineering and product teams, and our impact is substantial across many areas as Google Cloud continues its rapid expansion. Our projects include building experiment frameworks for users and resources, understanding user engagement, and optimizing product resource usage and efficiency. To understand our users, we...
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Warszawa, mazowieckie, Polska Google Pełny etatMinimum qualifications:Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3...
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Warszawa, mazowieckie, Polska Google Pełny etatMinimum qualifications:Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3...
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Data Engineer
2 tygodni temu
Warszawa, mazowieckie, Polska Transition Technologies MS Pełny etatWe offer:Participation in interesting and challenging projectsFlexible working hoursA great, non-corporate atmosphereStable employment conditions (contract of employment or B2B contract)Opportunities for development and promotionAttractive package of benefitsRemote workYour tasks:The responsibilities of this person will include development of components...
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Data Engineer
4 tygodni temu
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Senior Data Engineer
1 miesiąc temu
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Data Scientist with Adobe tools
2 miesięcy temu
At Competency Center Customer Experience we seek an experienced Data Scientist specializing in Generative AI.
You will work hands-on with Machine Learning and Big Data technologies within the Adobe Marketing Cloud and third-party tools to build scalable machine learning data products and solutions.
Your tasks
- Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to develop new data products or improve the performance/quality of existing products
- Build, evaluate, and optimize models that incorporate machine learning, artificial intelligence, and Generative AI
- Specialize in building data pipelines, developing machine learning models, and performing advanced analytics and statistical analysis
- Collaborate with internal and external stakeholders to understand business and insight goals, define a learning agenda, and identify relevant KPIs and diagnostics to pursue
- Cooperate with other data scientists and define project requirements including data sources, algorithms, and implementation
- Prepare and present compelling analytical presentations and effectively communicate complex concepts to marketing and business audiences
- Build expert knowledge of the various data sources brought together for audience segmentation solutions – survey/panel data, 3rd-party data (demographics, psychographics, lifestyle segments), media content activity (TV, Digital, Mobile), and product purchase or transaction data
Requirements
- Experience with Adobe’s analytics tools (e.g. Adobe Analytics) and third-party SaaS tools (e.g. Databricks, R)
- At least 5 years of relevant work experience
- Familiarity with applying statistics and data science tools on large datasets
- Deep knowledge of supervised vs. unsupervised learning algorithms, including neural networks/deep learning, SVM, decision trees (bagging, random forests, boosting), clustering, regression, and dimensionality reduction techniques
- Expertise in model training approaches, hyperparameter tuning, tuning learning rates, and model evaluation approaches
- Extensive experience with data preparation (normalization, scaling, etc.) for modeling
- Proficiency in Python/R, APIs, LLMs, SQL (including techniques for writing efficient code over large datasets), and Power Automate, exposure to Spark/PySpark systems in a distributed computing environment
- Strong analytical skills and proven track record in deploying innovative SaaS solutions in the tech industry
