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.

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Contact: [email protected]

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