September 9, 2024

Sii

Białystok

Data Scientist with Adobe tools

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
Saa S
Adobe Analytics / Customer Journey Analytics

Nice-to-have:

Spark/Py Spark

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 Saa S 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/Py Spark systems in a distributed computing environment
Strong analytical skills and proven track record in deploying innovative Saa S solutions in the tech industry

Job no. 240909-BDO5W