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Data Scientist with Adobe tools

  • Intern
  • Junior
  • Regular
  • Senior
Maciej, Junior Software Engineer
Possible locations
  • Bialystok
  • Bydgoszcz
  • Cracow
  • Czestochowa
  • Gdansk
  • Gliwice
  • Katowice
  • Lodz
  • Lublin
  • Pila
  • Poznan
  • Rzeszow
  • Szczecin
  • Torun
  • Warsaw
  • Wroclaw
  • Remote work
Technologies & tools

Must have:

  • Generative AI
  • LLMs
  • Python
  • ML
  • SaaS
  • Adobe Analytics / Customer Journey Analytics

Nice-to-have:

  • Spark/PySpark

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 role

  • 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

Your skills
  • 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

Job no. 240909-BDO5W

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