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Senior Data Scientist
Odpowiedz na ogłoszenietechnologies-expected :
- SparkML
- PySpark
- MLOps
- SQL
- Python
- Torch/PyTorch
- AWS
responsibilities :
- Quickly identify, orient, and familiarize yourself with our data sources, processes, systems providing recommendations for improvement optimizing data operations
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Perform exploratory data analysis to uncover insights
- On-going development & support of our Data Quality Monitoring system to ensure data accuracy, completeness and integrity
- Build predictive models and machine-learning algorithms, including emerging best practices in large-language models related to distilling & supporting non-data scientist customers' exploration and interaction with our products & and services
- Put the customer & non-technical user first, propose solutions and strategies to business challenges & challenge the status quo
- Collaborate with the Engineering team to productionize proven data processing, analysis and modeling approaches by providing detailed technical specifications
- Collaborate with Product Innovation team to explore new ideas, features and user experiences
- Document and share workflows with the team to facilitate the adaptation of the product to meet the needs of the customer
- Provide user feedback to the engineering and product team, with communications back to the leadership team.
requirements-expected :
- Bachelor's degree in a relevant field such as Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline.
- Strong English Skills.
- Experience (4+ years) as a Data Scientist is required
- Proficiency in programming languages such as Python and SQL.
- Proficiency with Spark, especially PySpark and SparkML
- Experience with MLOps
- Good communication skills and the ability to convey complex technical concepts to diverse audiences.
- Experience with Ad data.
- Experience with Databricks and Delta Table, especially with the concept of Data Lakehouse.
- Experience with some Data quality and observability tools (i. e Monte Carlo Data, Data Hub, etc).
- Experience with cloud-based platforms, especially AWS.
offered :
- Above average salary
- Cooperation in international projects
- Working from home
- Startup, friendly atmosphere
- Chance to influence shape of the Cognitiva products
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