Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist in Weston, FL, lasting until the end of the year with potential extension. Requires a Master's degree, 7+ years in Data Science/Machine Learning, strong Python skills, and expertise in ML frameworks and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
May 30, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
On-site
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Weston, FL
-
🧠 - Skills detailed
#NumPy #AWS (Amazon Web Services) #PostgreSQL #Libraries #SQL (Structured Query Language) #Data Integration #Leadership #ML (Machine Learning) #BigQuery #SageMaker #NoSQL #Cloud #MongoDB #Computer Science #Data Modeling #Version Control #Pandas #Python #GCP (Google Cloud Platform) #Redshift #Deployment #Deep Learning #AI (Artificial Intelligence) #PyTorch #Azure #Statistics #R #"ETL (Extract #Transform #Load)" #Data Science #Data Analysis #Time Series #Data Cleaning #MySQL #Programming #GitHub #Databases #TensorFlow #SQL Server
Role description
Title: Lead Data Scientist
Location: Weston, FL (2-3d/wk onsite, Local Only)
Duration: End of Year (Potential to extend)
• They need a Data Scientist who has Machine Learning experience writing Python code and utilizing version control (GitHub)
• Requirements:
• Master's degree in Statistics, Computer Science, Data Science, or a related field.
• 7+ years of experience in a Data Science and/or Machine Learning role, with experience developing and deploying successful machine learning solutions.
• Strong proficiency in Python, R, or other statistical programming languages.
• Expertise in machine learning algorithms, including deep learning, ensemble methods, and time series analysis.
• Experience with specific ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms such as AWS, Azure, or GCP, and experience with cloud services specifically tailored for ML development and deployment (Vertex AI, BigQuery, SageMaker, Redshift, Azure ML Studio).
• Experience working with relational databases (e.g., MySQL, PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra), including data modeling, query optimization, and data integration.
• Strong proficiency in SQL for data querying, manipulation, and analysis, including experience with advanced SQL features like window functions and CTEs.
• Experience using Python libraries like Pandas, NumPy, and Dask for data cleaning, transformation, and feature engineering.
• Strong understanding of statistical concepts, hypothesis testing, and data analysis.
• Demonstrated leadership skills, including the ability to mentor and guide other data scientists.
• Proven ability to identify opportunities for AI/ML applications and communicate their potential value to business stakeholders.
Title: Lead Data Scientist
Location: Weston, FL (2-3d/wk onsite, Local Only)
Duration: End of Year (Potential to extend)
• They need a Data Scientist who has Machine Learning experience writing Python code and utilizing version control (GitHub)
• Requirements:
• Master's degree in Statistics, Computer Science, Data Science, or a related field.
• 7+ years of experience in a Data Science and/or Machine Learning role, with experience developing and deploying successful machine learning solutions.
• Strong proficiency in Python, R, or other statistical programming languages.
• Expertise in machine learning algorithms, including deep learning, ensemble methods, and time series analysis.
• Experience with specific ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms such as AWS, Azure, or GCP, and experience with cloud services specifically tailored for ML development and deployment (Vertex AI, BigQuery, SageMaker, Redshift, Azure ML Studio).
• Experience working with relational databases (e.g., MySQL, PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra), including data modeling, query optimization, and data integration.
• Strong proficiency in SQL for data querying, manipulation, and analysis, including experience with advanced SQL features like window functions and CTEs.
• Experience using Python libraries like Pandas, NumPy, and Dask for data cleaning, transformation, and feature engineering.
• Strong understanding of statistical concepts, hypothesis testing, and data analysis.
• Demonstrated leadership skills, including the ability to mentor and guide other data scientists.
• Proven ability to identify opportunities for AI/ML applications and communicate their potential value to business stakeholders.
