Harnham

Senior Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in Charlottesville, VA, offering a 12-month contract-to-hire at competitive pay. Requires an MS/PhD in a STEM field, 5+ years of experience, proficiency in Python/R, and expertise in machine learning and analytics.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
920
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🗓️ - Date
December 17, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlottesville, VA
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🧠 - Skills detailed
#Data Analysis #AI (Artificial Intelligence) #NoSQL #Consulting #Databases #Data Science #R #Streamlit #Leadership #ML (Machine Learning) #Python #SQL (Structured Query Language) #Statistics #Libraries #Computer Science
Role description
Senior / Principal Data Scientist Location: Charlottesville, VA Employment Type: 12 Month Contract-to-hire About Us Our client is an engineering consultancy delivering advanced testing, analytics, and consulting services to organizations worldwide. Our mission is to leverage cutting-edge technology and data-driven insights to improve safety and performance in sports and related industries. Role Overview We are seeking a Senior / Principal Data Scientist to lead modeling and analytics initiatives across diverse domains, including: • Computer Vision: Detect and interpret events from game video. • Sensor Data Analysis: Event detection from athlete-worn devices. • Generative AI: Develop solutions to deliver actionable insights to end users. You will design and implement machine learning models, build simulation-based tools, and create dashboards that provide injury risk assessments and mitigation strategies. This role involves research, algorithm development, and presenting findings to executive stakeholders. Key Responsibilities • Develop and implement advanced machine learning models and algorithms. • Build analytical tools and dashboards using frameworks like Shiny, Dash, or Streamlit. • Collaborate with cross-functional teams to deliver actionable insights. • Present research and analytics to leadership and clients. Qualifications • Education: MS or PhD in Computer Science, Statistics, or related STEM field. • Strong understanding of machine learning theory and structure. • Proficiency in Python or R and experience with common ML libraries. • Experience with SQL/NoSQL databases and distributed processing. • 5+ years of post-graduate experience in engineering, consulting, or leadership roles. Preferred: • Background in biomechanics or sports analytics. • Publications or conference contributions in relevant fields. • Experience with professional sports organizations. • Consulting experience with executive-level presentations. Ideal Candidate You are passionate about applying data science to enhance athlete safety and performance. You thrive in collaborative environments and enjoy building innovative solutions that make a real-world impact.