... with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions. Independence and responsibility in delivering solutions. Ability to work under agile ...
... problems into data-driven solutions Requirements: 3+ years of professional experience building data science-driven solutions Experience with data processing, feature engineering selection ... data science solutions and driving business impact. Bachelors ...
... language Experience with data warehouse solutions (like BigQuery Redshift Snowflake) Experience with data modeling, data catalog concepts, data formats, data pipelines ETL design, implementation and ... or any DWH solution, Data modeling, Python or any modern ...
... accredited course of study in data analytics: statistics, mathematics, computer science, ... . 2+ years of experience in data analytics. 2+ years of experience ... Skills Experience): Masters degree in data analytics, applied statistics, mathematics, or ...
... -usable, self-service frameworks for data ingestion implementation of warehouses, data lakes, data marts and data processing pipeline solutions for new and existing clients. ...
... , as well as ML and data analysis libraries (e.g. pandas, numpy, scikit-learn, keras pytorch, etc.) Knowledge and experience in PySpark, relational databases, cloud solutions (e.g. Databricks, Azure, GCP, ...
... , as well as ML and data analysis libraries (e.g. pandas, numpy, scikit-learn, keras pytorch, etc.) Knowledge and experience in PySpark, relational databases, cloud solutions (e.g. Databricks, Azure, GCP, ...
... , analysis, and evaluation of various data sources to identify the most appropriate data Selection of the most suitable models and training them Conducting analysis of the business and technical impact of proposed solutions Collaborating with the team to ...
... and build Azure Virtual Desktop solutions with required security, data privacy and export compliances for ...
... -depth knowledge of data science tools and techniques, which ... to cleanse and prepare data before including it in data science products and can put ... develop and implement advanced data science, AI, and Machine Learning solutions to drive business growth by ...