Data Scientist
TITLE: DATA SCIENCE QUALITY ENGINEER
Location: Dallas, TX ( NEED ONLY LOCALS – ONE ROUND OF FACE TO FACE AVAILABILITY
IS MUST)
Duration: Long term
Job Requirements: Must Haves Skills
Experience with Building different Data Science Projects and its Testing
activities.
Experience with Training and Testing supervised and unsupervised Machine
Learning Models.
Experience with different kinds of metrics for evaluating Data Science model
and its accuracies.
Experience with Python on building Automation framework.
Extensive experience with Python scripting with respective to Data
processing, Data mining and Data cleansing.
Extensive experience with Python scripting with respective Data Science and
Machine Learning activities.
Experience in Data Science platforms like SageMaker/Machine Learning
Studio/ H2O.
Experience in building Gen AI projects with different kinds of LLMs.
Extensive experience with AWS components like S3, Athena, EMR, Glue,
Redshift, Kinesis and Sage maker
Experience in Automating ETL process with Python and Automation around
AWS Data & Infrastructure
Extensive experience on Developing/testing Cloud/On Prem ETL (AWS Glue,
Alteryx)
Experienced in large-scale application development testing – Cloud/ On Prem
Data warehouse, Data Lake, Data Science
Experience in building Data flow CI/CD pipelines in GitLab
Extensive experience in DevOps/Data Ops space.
Strong experience of Kafka.
Soft Skills
• Great communication skills (regularly interacts with cross functional team members)
• Who takes Ownership to complete the tasks on time with less supervision
• Guiding developers and automation teams in case of an issue
• Monitoring, reviewing, and managing technical operations
• Effective problem-solving expertise, trouble shooting, code debugging, and root cause analysis skills.
TITLE: DATA SCIENCE QUALITY ENGINEER
Location: Dallas, TX ( NEED ONLY LOCALS – ONE ROUND OF FACE TO FACE AVAILABILITY
IS MUST)
Duration: Long term
Job Requirements: Must Haves Skills
Experience with Building different Data Science Projects and its Testing
activities.
Experience with Training and Testing supervised and unsupervised Machine
Learning Models.
Experience with different kinds of metrics for evaluating Data Science model
and its accuracies.
Experience with Python on building Automation framework.
Extensive experience with Python scripting with respective to Data
processing, Data mining and Data cleansing.
Extensive experience with Python scripting with respective Data Science and
Machine Learning activities.
Experience in Data Science platforms like SageMaker/Machine Learning
Studio/ H2O.
Experience in building Gen AI projects with different kinds of LLMs.
Extensive experience with AWS components like S3, Athena, EMR, Glue,
Redshift, Kinesis and Sage maker
Experience in Automating ETL process with Python and Automation around
AWS Data & Infrastructure
Extensive experience on Developing/testing Cloud/On Prem ETL (AWS Glue,
Alteryx)
Experienced in large-scale application development testing – Cloud/ On Prem
Data warehouse, Data Lake, Data Science
Experience in building Data flow CI/CD pipelines in GitLab
Extensive experience in DevOps/Data Ops space.
Strong experience of Kafka.
Soft Skills
• Great communication skills (regularly interacts with cross functional team members)
• Who takes Ownership to complete the tasks on time with less supervision
• Guiding developers and automation teams in case of an issue
• Monitoring, reviewing, and managing technical operations
• Effective problem-solving expertise, trouble shooting, code debugging, and root cause analysis skills.
