

TalentBurst, an Inc 5000 company
AI, Data Science & Advanced Analytics Consultant | Hybrid
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI, Data Science & Advanced Analytics Consultant in Alhambra, CA, for 12+ months at a competitive pay rate. Requires 5+ years in data analysis and SQL, 2+ years with Databricks, and relevant certifications.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
656
-
🗓️ - Date
April 15, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Alhambra, CA
-
🧠 - Skills detailed
#Data Warehouse #Snowflake #Azure #SQL Server #Data Quality #Statistics #Data Engineering #Scala #Computer Science #Data Architecture #AWS (Amazon Web Services) #Classification #Predictive Modeling #Data Management #Clustering #Databases #PostgreSQL #Cloud #Mathematics #Database Design #Visualization #Data Analysis #Oracle #AI (Artificial Intelligence) #AWS Machine Learning #Programming #Databricks #Microsoft Azure #Forecasting #NLP (Natural Language Processing) #Data Transformations #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Regression #SQL (Structured Query Language) #Data Science #Data Pipeline
Role description
Position: Data Scientist
Location: Alhambra, CA
Duration: 12+ MonthsJob Description
Skills Required:
The AI, Data Science & Advanced Analytics Consultant should possess the following skills and competencies:
• Exceptional communication and stakeholder engagement skills, with the ability to clearly translate complex data, analytical models, and AI concepts into actionable insights for both technical and non-technical audiences, while maintaining a strong customer service orientation.
• Advanced analytical and business acumen, including experience with statistical methods and modeling techniques such as regression analysis, association analysis, clustering, and outlier detection, along with a solid foundation in exploratory data analysis and problem framing.
• Working knowledge of data architecture and database design principles, with the ability to collaborate effectively with Data Management and Data Engineering teams to ensure data quality, accessibility, and alignment with enterprise standards.
• Proficiency in data visualization and reporting tools to effectively communicate insights, trends, and performance metrics to support decision-making.
• Strong project and time management capabilities, with a proven ability to manage multiple priorities, meet deadlines, and deliver high-quality outputs in a fast-paced, evolving environment.
• Demonstrated ability to work both collaboratively and independently, driving initiatives forward with minimal oversight while aligning data, analytics, and business objectives across cross-functional teams.
• High attention to detail and commitment to data quality, ensuring accuracy, consistency, and reliability in all analyses, models, and deliverables.
• Experience supporting the development and operationalization of data science solutions, including contributing to scalable analytics frameworks and enabling knowledge transfer to internal teams.
Experience Required:
• Five (5)+ years of experience in data analysis, analytics, data visualization and reporting with the ability to present insights to business and executive stakeholders.
• Five (5)+ years of experience with SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases.
• Two (2)+ years of experience working with Databricks, Genie and similar AI cloud-based analytics platforms, including notebook development, feature engineering, Machine Learning model training, and workflow orchestration.
• Two (2)+ years of experience collaborating with data engineering and data science teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms).
• One (1)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing).
Education Required:
• This classification requires possession of a Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Information Technology, or a closely related quantitative field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis.
• Industry-recognized certifications in data science or cloud analytics, such as:
• 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.
Additional Information:
• California Resident Candidates Only.
• Work is expected to be HYBRID, and interviews will be conducted on-site.
• Work schedule will be 4/40, 10-hour day within the M-TH work schedule at the discretion of the program manager.
• Work shift ranges from 7:15am to 6:00pm.
#TB\_EN
#ZR
Why TalentBurst?
At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth.
Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships.
We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options.
TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.
Position: Data Scientist
Location: Alhambra, CA
Duration: 12+ MonthsJob Description
Skills Required:
The AI, Data Science & Advanced Analytics Consultant should possess the following skills and competencies:
• Exceptional communication and stakeholder engagement skills, with the ability to clearly translate complex data, analytical models, and AI concepts into actionable insights for both technical and non-technical audiences, while maintaining a strong customer service orientation.
• Advanced analytical and business acumen, including experience with statistical methods and modeling techniques such as regression analysis, association analysis, clustering, and outlier detection, along with a solid foundation in exploratory data analysis and problem framing.
• Working knowledge of data architecture and database design principles, with the ability to collaborate effectively with Data Management and Data Engineering teams to ensure data quality, accessibility, and alignment with enterprise standards.
• Proficiency in data visualization and reporting tools to effectively communicate insights, trends, and performance metrics to support decision-making.
• Strong project and time management capabilities, with a proven ability to manage multiple priorities, meet deadlines, and deliver high-quality outputs in a fast-paced, evolving environment.
• Demonstrated ability to work both collaboratively and independently, driving initiatives forward with minimal oversight while aligning data, analytics, and business objectives across cross-functional teams.
• High attention to detail and commitment to data quality, ensuring accuracy, consistency, and reliability in all analyses, models, and deliverables.
• Experience supporting the development and operationalization of data science solutions, including contributing to scalable analytics frameworks and enabling knowledge transfer to internal teams.
Experience Required:
• Five (5)+ years of experience in data analysis, analytics, data visualization and reporting with the ability to present insights to business and executive stakeholders.
• Five (5)+ years of experience with SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases.
• Two (2)+ years of experience working with Databricks, Genie and similar AI cloud-based analytics platforms, including notebook development, feature engineering, Machine Learning model training, and workflow orchestration.
• Two (2)+ years of experience collaborating with data engineering and data science teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms).
• One (1)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing).
Education Required:
• This classification requires possession of a Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Information Technology, or a closely related quantitative field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis.
• Industry-recognized certifications in data science or cloud analytics, such as:
• 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.
Additional Information:
• California Resident Candidates Only.
• Work is expected to be HYBRID, and interviews will be conducted on-site.
• Work schedule will be 4/40, 10-hour day within the M-TH work schedule at the discretion of the program manager.
• Work shift ranges from 7:15am to 6:00pm.
#TB\_EN
#ZR
Why TalentBurst?
At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth.
Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships.
We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options.
TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.






