Product Engineering Data Sciences Architect
2 days ago
As a Product Engineering Data Sciences Architect at JobRialto, you will collaborate with cross-functional teams to design, develop, and implement data-driven solutions that enhance our product offerings. Your major responsibility will be to collaborate with product design and engineering teams to understand and address data-related needs. You will develop and maintain data processing systems and pipelines to ensure efficient data flow and accessibility. Additionally, you will design and implement innovative statistical models and data science algorithms for data analysis. You will analyze high-volume, unstructured data sources to build structured models for product quality assessment. You will create visualizations and dashboards to communicate data insights to stakeholders. You will ensure data integrity and security throughout the data lifecycle. You will stay current with industry trends and advancements in data science and engineering.
Good to have:
Programming Languages:
Proficiency in languages such as Python, R, Java, and SQL is essential for data manipulation, analysis, and building data pipelines.
Statistical Analysis:
Ability to apply statistical methods to Analyze and interpret complex data sets.
Optimization:
Understanding of different optimization techniques and familiarity with Gurobi.
Data Visualization:
Skills in using BI tools like Tableau, Power BI, or similar to create insightful visualizations and dashboards.
Data Processing Frameworks:
Familiarity with big data technologies like Apache Spark, Hadoop, and Kafka is crucial for handling large datasets.
ETL Processes:
Knowledge of Extract, Transform, Load (ETL) tools and processes to ensure efficient data flow and integration.
Familiarity with machine learning libraries and tools such as TensorFlow, Scikit-learn, and PyTorch for developing predictive models.
Education:
Bachelors Degree
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