Senior Data Scientist
S
ScaloData analytics
Realizację usług w trybie zdalnymContractSenior
Salary160 - 180 PLN per hour net b2b
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Job Details
- Languages
- English at C1/C2 level
- Required Skills
- PythonSQLData MiningMachine LearningData modeling
Requirements
- Have extensive commercial experience as a Data Scientist, Machine Learning Engineer, Data Analyst, or Advanced Analytics Consultant.
- Have strong experience working with complex, heterogeneous datasets.
- Have practical knowledge of data matching, entity resolution, and data integration.
- Have experience with clustering algorithms, similarity matching, classification, anomaly detection, and Exploratory Data Analysis (EDA).
- Know machine learning, data mining, feature engineering, and data modeling.
- Be able to analyze ambiguous business problems and recommend appropriate methods and algorithms.
- Have experience defining analytical strategies and roadmaps for further development of data solutions.
- Have consulting skills and experience working with business stakeholders.
- Be able to lead workshops and present recommendations to non-technical audiences.
- Know the AI-augmented IT product development approach.
- Be self-directed and proactive, and be able to work at an early, not fully defined project stage.
- Have English proficiency at C1/C2 level for leading workshops and communicating with stakeholders.
Responsibilities
- Analyze existing and newly acquired datasets to identify shared characteristics, relationships, and hidden patterns.
- Design approaches for integrating, matching, and consolidating data from different sources.
- Identify opportunities for clustering, segmentation, entity resolution, similarity matching, and pattern recognition.
- Evaluate and recommend machine-learning, statistical-analysis, and data-mining methods.
- Advise on data modeling, feature engineering, and algorithm selection.
- Lead discovery workshops and collaborate with business stakeholders.
- Develop proof-of-concept concepts, success criteria, and analytical roadmaps for subsequent project stages.
- Define strategic directions for data use beyond ad hoc analysis.
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