Data Science Engineer

dotData, Inc.

  • Python
  • Apache Spark
  • Databricks
  • Snowflake
  • AutoML
  • SQL
  • AWS
  • Azure
  • GCP
  • Docker
  • Hadoop
  • AI
  • Computational Science
  • Statistical Analysis
  • Data processing
  • Specialized Quantities Design
  • Model Construction
  • data bases
  • Machine Learning
  • Data Science
  • Business Intelligence
  • English

Company Info

dotData is a startup company that provides automated product offerings to support the analysis of corporate data. It is a company that leads the forefront of the world by automatically extracting insights from data and providing them to businesses.

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

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Data Science Engineer

dotData, Inc.

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