Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist in Weston, FL, with a 40-hour onsite workweek. The position requires a Master’s degree, 7+ years of experience, proficiency in Python or R, SQL, and familiarity with cloud ML tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 8, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Weston, FL
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🧠 - Skills detailed
#Data Quality #"ETL (Extract #Transform #Load)" #Classification #R #Scala #Databases #Cloud #SQL (Structured Query Language) #Python #Clustering #NLP (Natural Language Processing) #Data Pipeline #SaaS (Software as a Service) #Agile #Azure #ML (Machine Learning) #SageMaker #Computer Science #Scrum #NLU (Natural Language Understanding) #Deployment #Statistics #Data Science #Forecasting #NoSQL #Regression #Leadership #PyTorch #AI (Artificial Intelligence) #Reinforcement Learning #TensorFlow
Role description
Job Title: Lead Data Scientist Location: Weston, FL (Onsite) Hours: Mon–Fri, 8 AM – 5 PM EST (40 hours/week; no OT or weekends) Overview: An opportunity for a seasoned Lead Data Scientist to guide impactful AI/ML projects, mentor a team, and collaborate cross-functionally to drive data-informed decision-making. This role blends advanced technical expertise with business acumen and leadership. Key Responsibilities: • Lead and mentor a team of data scientists in delivering end-to-end ML projects. • Translate business needs from Sales, Marketing, Product, and Customer Success into data science solutions. • Design, develop, and deploy ML models (regression, classification, clustering, forecasting, reinforcement learning). • Build and maintain scalable data pipelines and ensure data quality. • Optimize model performance and drive continuous improvement. • Set best practices and standards for data science workflows. • Support strategic initiatives through data science roadmapping and stakeholder engagement. • Stay current on AI/ML trends and promote a data-driven culture. Required Qualifications: • Master’s degree in a quantitative field (e.g., Data Science, Computer Science, Statistics). • 7+ years of hands-on data science experience, including production ML deployments. • Strong skills in Python or R; SQL expertise. • Proficient with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). • Experience with cloud ML tools (e.g., SageMaker, Vertex AI, Azure ML). • Familiar with relational and NoSQL databases. • Solid understanding of statistics, hypothesis testing, and data transformation tools. • Strong communication skills for technical and non-technical audiences. • Agile/Scrum experience. Preferred Skills: • Experience in SaaS environments. • Exposure to NLP, LLMs, NLU, RAG, or other generative AI technologies. • Demonstrated leadership and mentoring in data science teams.