Straive · 9 hours ago
Data Scientist
San Francisco Bay Area
Full-time
Onsite
Mid, Senior Level
4+ years expStraive is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses with cutting-edge technology. They are seeking a Data Scientist to focus on model reproduction, feature engineering, and performance validation, ensuring alignment with client modeling frameworks.
CRMOutsourcing
Hiring Manager
Jeffrey Evans M Victor
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 maintaining 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
Straive
Straive is a global provider of technology-driven content and data services.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
unknown2021-08-20Acquired
Leadership Team
Ankor Rai
Chief Executive Officer
Lori Silverstein
SVP Global Sales, Data and Content Solutions
Recent News
2025-06-21
Canada NewsWire
2025-06-19
Company data provided by crunchbase