

VDart Canada
Senior Data Scientist (13+ Years)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist (13+ years) in Juno Beach, FL, offering a long-term contract. Key skills include SQL Server, Python, and machine learning. A Bachelor's in a related field is required; Master's preferred. Experience with Salesforce is a plus.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
January 9, 2026
π - Duration
Unknown
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ποΈ - Location
On-site
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Juno Beach, FL
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π§ - Skills detailed
#BI (Business Intelligence) #Mathematics #Agile #SQL Server #Microsoft Power BI #Oracle #AI (Artificial Intelligence) #Computer Science #Databases #PostgreSQL #Visualization #MySQL #Data Science #AWS (Amazon Web Services) #Datasets #Data Quality #SQL (Structured Query Language) #Compliance #Cloud #Python #Azure #DevOps #ML (Machine Learning) #Data Mining #Data Pipeline #Programming #"ETL (Extract #Transform #Load)" #Data Engineering #Statistics #R #Tableau #RDBMS (Relational Database Management System)
Role description
Position: Data Scientist
Location: Juno Beach, FL (Onsite)
Duration: Long Term Contract
Total Years of Experience : 13+ Years
Job Description
We are seeking an experienced Data Scientist to join our client Salesforce team to drive data-driven insights, develop predictive models, and support AI/ML initiatives across the Salesforce platform. The ideal candidate will combine strong statistical analysis skills with hands-on experience in SQL Server (2012 or similar) and modern data science tools to transform business data into actionable intelligence.
Key Responsibilities
β’ Design and develop predictive models, machine learning algorithms, and statistical analyses to solve complex business problems and optimize Salesforce platform performance
β’ Extract, transform, and analyze large datasets from SQL Server 2012 (or similar databases) and Salesforce to identify trends, patterns, and opportunities for business improvement
β’ Collaborate with cross-functional teams including architects, developers, and business stakeholders to translate analytical findings into strategic recommendations
β’ Build and maintain data pipelines, ETL processes, and automated reporting solutions to support ongoing analytics initiatives
β’ Implement AI/ML models within the Salesforce ecosystem, leveraging Einstein Analytics, predictive scoring, and recommendation engines
β’ Develop data visualizations and dashboards using Power BI, Tableau, or similar tools to communicate insights to technical and non-technical audiences
β’ Ensure data quality, governance, and compliance standards are maintained throughout all analytical processes
Required Qualifications
β’ Bachelor's degree in Computer Science, Statistics, Data Science, Mathematics, or related field; Master's degree preferred
β’ 5+ years of experience in data science, analytics, or related roles
β’ Strong proficiency in SQL Server 2012 (or similar RDBMS such as Oracle, PostgreSQL, MySQL) with expertise in complex query writing, stored procedures, and performance optimization
β’ Hands-on experience with Python, R, or similar statistical programming languages
β’ Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques
β’ Experience with Salesforce platform and Einstein Analytics is a plus
β’ Excellent analytical, problem-solving, and communication skills
Preferred Skills
β’ Knowledge of cloud data platforms (AWS, Azure, Google Cloud)
β’ Familiarity with data engineering tools and ETL frameworks
β’ Experience with generative AI and large language models
β’ Understanding of agile methodologies and DevOps practices
Position: Data Scientist
Location: Juno Beach, FL (Onsite)
Duration: Long Term Contract
Total Years of Experience : 13+ Years
Job Description
We are seeking an experienced Data Scientist to join our client Salesforce team to drive data-driven insights, develop predictive models, and support AI/ML initiatives across the Salesforce platform. The ideal candidate will combine strong statistical analysis skills with hands-on experience in SQL Server (2012 or similar) and modern data science tools to transform business data into actionable intelligence.
Key Responsibilities
β’ Design and develop predictive models, machine learning algorithms, and statistical analyses to solve complex business problems and optimize Salesforce platform performance
β’ Extract, transform, and analyze large datasets from SQL Server 2012 (or similar databases) and Salesforce to identify trends, patterns, and opportunities for business improvement
β’ Collaborate with cross-functional teams including architects, developers, and business stakeholders to translate analytical findings into strategic recommendations
β’ Build and maintain data pipelines, ETL processes, and automated reporting solutions to support ongoing analytics initiatives
β’ Implement AI/ML models within the Salesforce ecosystem, leveraging Einstein Analytics, predictive scoring, and recommendation engines
β’ Develop data visualizations and dashboards using Power BI, Tableau, or similar tools to communicate insights to technical and non-technical audiences
β’ Ensure data quality, governance, and compliance standards are maintained throughout all analytical processes
Required Qualifications
β’ Bachelor's degree in Computer Science, Statistics, Data Science, Mathematics, or related field; Master's degree preferred
β’ 5+ years of experience in data science, analytics, or related roles
β’ Strong proficiency in SQL Server 2012 (or similar RDBMS such as Oracle, PostgreSQL, MySQL) with expertise in complex query writing, stored procedures, and performance optimization
β’ Hands-on experience with Python, R, or similar statistical programming languages
β’ Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques
β’ Experience with Salesforce platform and Einstein Analytics is a plus
β’ Excellent analytical, problem-solving, and communication skills
Preferred Skills
β’ Knowledge of cloud data platforms (AWS, Azure, Google Cloud)
β’ Familiarity with data engineering tools and ETL frameworks
β’ Experience with generative AI and large language models
β’ Understanding of agile methodologies and DevOps practices






