TalentBurst, an Inc 5000 company
Principal Data Scientist | Hybrid
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Data Scientist in Alhambra, CA, hybrid (2 days onsite, 2 remote), with a 12+ month contract at a pay rate of "unknown." Key skills include Databricks, Python, SQL, and advanced analytics certifications.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
688
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🗓️ - Date
December 4, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Alhambra, CA 91803
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🧠 - Skills detailed
#Classification #Python #Clustering #Data Warehouse #Data Science #SQL (Structured Query Language) #Predictive Modeling #Regression #Oracle #Data Pipeline #Programming #Forecasting #Data Transformations #PostgreSQL #Compliance #SQL Server #Data Management #Azure #Microsoft Azure #AWS Machine Learning #Monitoring #MLflow #"ETL (Extract #Transform #Load)" #Snowflake #Security #AI (Artificial Intelligence) #NLP (Natural Language Processing) #Databases #Cloud #AWS (Amazon Web Services) #Data Engineering #Databricks #ML (Machine Learning)
Role description
Principal Data Scientist Alhambra, CA - HYBRID (2 days onsite, 2 days Remote) 4 Days / Week 40 & hours / Week (Mon – Thurs.) 12+ Months (Possible Extension) The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights Professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. Experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. Experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). Experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. Experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). Experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. Experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. At least one of the following industry-recognized certifications in Data science or Cloud analytics: Microsoft Azure Data Scientist Associate (DP-100) Databricks Certified Data Scientist or Machine Learning Professional AWS Machine Learning Specialty Google Professional Data Engineer or equivalent advanced analytics certifications. #TB\_EN #ZR
Principal Data Scientist Alhambra, CA - HYBRID (2 days onsite, 2 days Remote) 4 Days / Week 40 & hours / Week (Mon – Thurs.) 12+ Months (Possible Extension) The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights Professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. Experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. Experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). Experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. Experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). Experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. Experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. At least one of the following industry-recognized certifications in Data science or Cloud analytics: Microsoft Azure Data Scientist Associate (DP-100) Databricks Certified Data Scientist or Machine Learning Professional AWS Machine Learning Specialty Google Professional Data Engineer or equivalent advanced analytics certifications. #TB\_EN #ZR
