DS Technologies Inc · 7 hours ago
Data Engineer
New York City, NY 07020
Full-time
Onsite
Mid, Senior Level
$150K/yr - $150K/yr
4+ years expDS Technologies Inc is a company that provides innovative IT services and solutions, and they are seeking a Data Engineer for one of their premier clients. The role focuses on model reproduction, feature engineering logic, and performance validation while ensuring alignment with the client's established modeling frameworks.
Information Technology & Services
Responsibilities
Rebuild and port existing client's Python based models into customer’s Databricks platform
Develop, train, and validate predictive models using Python, PySpark, and ML frameworks such as scikitlearn, XGBoost, and Spark MLlib
Develop, validate and reproduce feature engineering logic and ensure parity with client's models
Train, retain, validate, and benchmark model performance using customer provided datasets while maintain performance parity with baseline models
Work with data engineers to define feature requirements and ensure datasets support model needs
Perform model diagnostics, bias checks, stability checks, and accuracy assessments
Prepare model documentation, validation summaries, and stakeholder ready insights
Support scoring pipeline design and ensure reproducibility across Dev/QA/Prod
Collaborate with compliance and platform teams to ensure adherence to governance
Perform model diagnostics, hyperparameter tuning, and stability analysis
Evaluate model performance across population segments and time periods
Work with platform and engineering teams to support scoring pipeline deployment across Dev/QA/Prod
Qualification
Required
4–6 years of experience in applied machine learning or data science
Strong hands-on experience with Python, scikit-learn, XGBoost, LightGBM, CatBoost, or similar libraries
Experience developing ML models in Databricks with Python or PySpark
Strong knowledge of feature engineering, model training workflows, and evaluation techniques
Experience working with large structured datasets (financial or transactional data preferred)
Ability to write clear documentation and communicate technical results to non-technical stakeholders
4+ years of hands-on experience developing, deploying, and maintaining machine-learning models
Advanced proficiency in Python (NumPy, pandas, scikit-learn, PyTorch or TensorFlow)
Strong statistical and mathematical foundation, including regression, classification, probability, optimization, etc
Experience building end-to-end ML pipelines: data ingestion, cleaning, feature engineering, modeling, evaluation, deployment
Experience working within client environments, including adapting to unfamiliar infrastructure, constraints, and security requirements
Experience with cloud platforms (AWS, Azure, or GCP) and on-prem environments
Advanced SQL ability and experience with big-data tools (Spark, Databricks, Hadoop)
Company
DS Technologies Inc
DS Technologies Inc - SUCCESS IS OUR DUTY At DS Technologies, we’re more than just a technology provider – we’re your strategic partner in navigating the digital revolution.
51-200 employees
H1B Sponsorship
DS Technologies Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
2022 (5)
2021 (4)
Funding
Current Stage
Growth StageCompany data provided by crunchbase