What are the responsibilities and job description for the Software Engineer II (Data Scientist) position at ATR International, Inc.?
Job Description
Job Description:
We are seeking a Data Scientist for a very important client
Job Description:
• Deliver highquality analytic insights from a large data warehouse, especially time series data
• Implement Deep Learning algorithms in time series data and computer vision
• Experience working in a cloud-native environment such as AWS
• Demonstrated abilities in problem formulation, algorithm design, and model building, including statistical analysis and evaluation
• Compare the results of predicted values and actual values, based on historical data availability
• Drive development of data products in collaboration with data scientists and analysts Automate reporting where possible to make team more efficient
• Maintain software traceability through GitHub
Requirement:
The ideal candidate will possess the following qualifications:
Key Qualifications:
• 1-2 years as data scientist or machine learning engineer
• Working knowledge and experience with big data
• Familiar with machine learning algorithm and capable to use proper metrics to evaluate model results
• Proficiency developing machine learning solutions using Python and its associated ecosystem - numpy, pandas, TensorFlow, PyTorch, etc
• Experience working with large-scale time series data processing and image recognition pipelines is a good plus
Education:
MS or Ph.D in Computer Science, Software Engineer, Data Science,
Machine Learning, Statistics, Operations Research or related field
Required Skills:
Tensorflow
AWS
DEEP LEARNING
pytorch
COMPUTER VISION
Additional Skills:
DATA SCIENCE
PYTHON
Languages:
English
Read
Write
Speak
We are seeking a Data Scientist for a very important client
Job Description:
• Deliver highquality analytic insights from a large data warehouse, especially time series data
• Implement Deep Learning algorithms in time series data and computer vision
• Experience working in a cloud-native environment such as AWS
• Demonstrated abilities in problem formulation, algorithm design, and model building, including statistical analysis and evaluation
• Compare the results of predicted values and actual values, based on historical data availability
• Drive development of data products in collaboration with data scientists and analysts Automate reporting where possible to make team more efficient
• Maintain software traceability through GitHub
Requirement:
The ideal candidate will possess the following qualifications:
Key Qualifications:
• 1-2 years as data scientist or machine learning engineer
• Working knowledge and experience with big data
• Familiar with machine learning algorithm and capable to use proper metrics to evaluate model results
• Proficiency developing machine learning solutions using Python and its associated ecosystem - numpy, pandas, TensorFlow, PyTorch, etc
• Experience working with large-scale time series data processing and image recognition pipelines is a good plus
Education:
MS or Ph.D in Computer Science, Software Engineer, Data Science,
Machine Learning, Statistics, Operations Research or related field
Required Skills:
Tensorflow
AWS
DEEP LEARNING
pytorch
COMPUTER VISION
Additional Skills:
DATA SCIENCE
PYTHON
Languages:
English
Read
Write
Speak
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