Data Science Architect (1116674)
Location: somehwere, NJ, USA
Salary: $160,000.00 USD Annually - $170,000.00 USD Annually
Description
Data Scientist Architect
Remote
Fulltime Role
Job Description
We are looking for an experienced Machine Learning Engineer with strong expertise in Python, PySpark, and model validation. The ideal candidate will work on migrating Java-based ML models—primarily XGBoost—to Python, validating outputs, and ensuring consistency across platforms.
Must Have Technical/Functional Skills
• 7-10 years hands-on with Python for machine learning – especially XGBoost, scikit-learn and NumPy/pandas.
• Proficiency in PySpark for reading, transforming and analyzing large datasets stored in parquet.
• Experience in validating or reverse engineering ML models from business logic or legacy implementation.
• Exposure to Java-based ML libraries or understanding of how internals map across languages.
• Hands-on with Python frameworks for meta-modelling libraries.
Roles & Responsibilities
• Collaborate with the customer team to understand the logic, structure and parameters of the Java-based
XGBoost models.
• Interpret data transformation logic and validate feature pipelines from existing Java implementations.
• Run Python-converted models on historical datasets and validate output metrics against Java model benchmarks.
• Collaborate with model validation teams to review performance, consistency and explain metric deviations if any.
• Design unit tests and validation scenarios to support each migrated model’s readiness for signoff.
• Ingest model input data from parquet files using PySpark and pandas to reproduce training and scoring workflows.
• Conduct EDA and spot-check row-level predictions where needed.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact: [email protected]
This job and many more are available through The Judge Group. Find us on the web at www.judge.com
Apply Now
Apply Now
Salary: $160,000.00 USD Annually - $170,000.00 USD Annually
Description
Data Scientist Architect
Remote
Fulltime Role
Job Description
We are looking for an experienced Machine Learning Engineer with strong expertise in Python, PySpark, and model validation. The ideal candidate will work on migrating Java-based ML models—primarily XGBoost—to Python, validating outputs, and ensuring consistency across platforms.
Must Have Technical/Functional Skills
• 7-10 years hands-on with Python for machine learning – especially XGBoost, scikit-learn and NumPy/pandas.
• Proficiency in PySpark for reading, transforming and analyzing large datasets stored in parquet.
• Experience in validating or reverse engineering ML models from business logic or legacy implementation.
• Exposure to Java-based ML libraries or understanding of how internals map across languages.
• Hands-on with Python frameworks for meta-modelling libraries.
Roles & Responsibilities
• Collaborate with the customer team to understand the logic, structure and parameters of the Java-based
XGBoost models.
• Interpret data transformation logic and validate feature pipelines from existing Java implementations.
• Run Python-converted models on historical datasets and validate output metrics against Java model benchmarks.
• Collaborate with model validation teams to review performance, consistency and explain metric deviations if any.
• Design unit tests and validation scenarios to support each migrated model’s readiness for signoff.
• Ingest model input data from parquet files using PySpark and pandas to reproduce training and scoring workflows.
• Conduct EDA and spot-check row-level predictions where needed.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact: [email protected]
This job and many more are available through The Judge Group. Find us on the web at www.judge.com
Apply Now
Apply Now