TechClub Inc
Lead Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist, offering a contract length of "unknown," with a pay rate of "unknown." Key skills include AI, data pipeline architecture, machine learning, and leadership. Industry experience in data science and analytics is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 19, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Malvern, PA
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🧠 - Skills detailed
#A/B Testing #Scala #Data Pipeline #Data Quality #Data Engineering #AI (Artificial Intelligence) #Leadership #Data Science #ML (Machine Learning) #Visualization #Deployment #Model Deployment
Role description
Job Description:
Lead Data Scientist
· Lead the end-to-end development of data science solutions, from problem definition to model deployment.
· Oversee advanced analytics, machine learning, and statistical modeling to drive strategic business decisions.
· Collaborate with cross-functional teams to identify high-impact opportunities for data-driven innovation.
· Mentor and guide data scientists, analysts, and engineers; establish best practices and technical standards.
· Architect scalable data pipelines and model-serving frameworks in partnership with data engineering teams.
· Communicate technical insights to senior leadership through clear reports and visualizations.
· Evaluate new tools, technologies, and methodologies to enhance analytical capabilities.
· Ensure data quality, governance, and ethical use of AI across all projects.
· Manage project timelines, prioritize workloads, and deliver high-quality solutions on schedule.
· Drive experimentation, A/B testing, and continuous model improvement to maximize business impact
Job Description:
Lead Data Scientist
· Lead the end-to-end development of data science solutions, from problem definition to model deployment.
· Oversee advanced analytics, machine learning, and statistical modeling to drive strategic business decisions.
· Collaborate with cross-functional teams to identify high-impact opportunities for data-driven innovation.
· Mentor and guide data scientists, analysts, and engineers; establish best practices and technical standards.
· Architect scalable data pipelines and model-serving frameworks in partnership with data engineering teams.
· Communicate technical insights to senior leadership through clear reports and visualizations.
· Evaluate new tools, technologies, and methodologies to enhance analytical capabilities.
· Ensure data quality, governance, and ethical use of AI across all projects.
· Manage project timelines, prioritize workloads, and deliver high-quality solutions on schedule.
· Drive experimentation, A/B testing, and continuous model improvement to maximize business impact
