Data Science Engineer
dotData, Inc.
- Python
- AWS
- AI
- GCP
- Azure
- Machine Learning
- SQL
- Docker
- Data Science
- Snowflake
- Hadoop
- Statistical Analysis
- remote work
- English
- Data processing
- Databricks
- Business Intelligence
- Apache Spark
- Computational Science
- AutoML
- data bases
- Model Construction
- Specialized Quantities Design
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Under 10
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Company Homepage
Company Info
dotData has developed a state-of-the-art platform for automating machine learning and data science. The platform completely automates the end-to-end predictive model construction process, from raw business data to hundreds of millions of predictive features, to deliver the most impactful and demanding data science and data engineering tasks. By automating the extraction and evaluation of hundreds of millions of predictive features from business data, dotData's platform eliminates a significant portion of the most time- and labor-intensive data science and data engineering tasks.Job Summary
In this position, you will verify the value of products by conducting customer and community feedback, solve customer issues using products, and collaborate with customers to strengthen product feedback and strengthen products. You will also be responsible for products that involve using Python.Duties
In this position, you will verify the value of products by conducting customer and community feedback, solve customer issues using products, and collaborate with customers to strengthen product feedback and strengthen products. You will also be responsible for products that involve using Python.Requirements
Advanced number theory and statistical calculation (and other related fields such as mathematics, statistics, and optimization), 3 years or more of work experience, Standard knowledge and skills related to effective coding (Python desired) and SQL and data bases, Technical knowledge related to data science (data processing, specialized quantities design, model construction, and model development), Strong data mining and processing capabilities, and enthusiasm for promoting data science and business intelligence
Welcomed Skills
General knowledge related to the ecosystem of data science (cloud environments such as AWS, Azure, GCP, and data management such as Snowflake and Databricks, machine learning development environments such as Amazon SageMaker), General knowledge related to analysis environments and computational foundations such as Docker, Hadoop, and Spark, Experience in designing and developing data pipelines for business, Specialized knowledge related to finance systems, insurance, and other specific industries, Strong skills in reading and writing English in business