Epitria Consulting LLC
Staff Data Scientist - AI Innovation for Talent Platforms
Epitria Consulting LLC, New York, New York, us, 10261
Job Description
Were hiring a Staff Data Scientist to help shape the future of our AI-powered technology marketplace for engineering talent. In this strategic role, you'll apply deep statistical knowledge, advanced modeling, and rigorous experimentation to build data-driven products that enhance talent matching, client engagement, and enterprise AI solutions.
What You'll Do
Lead development of machine learning, statistical, and generative AI models focused on recommendation systems and predictive analytics
Drive research initiatives to improve model scalability, interpretability, and real-world impact
Build experimentation frameworks (A / B testing, causal inference, statistical validation) to guide product decisions
Collaborate with engineering to deploy and monitor models in production
Align data science efforts with product strategy and client needs
Stay ahead of AI and GenAI trends, recommending innovations and best practices
Share thought leadership through publications, conferences, and mentoring
Leadership Mindset You'll lead through influence and example not hierarchy. We value :
Humility and accountability : You share credit, own mistakes, and welcome better ideas
Cross-functional collaboration : You break silos and prioritize company-wide success
Curiosity and feedback : You seek diverse perspectives and continuous improvement
Ownership mentality : You solve problems proactively and follow through
Hands-on leadership : You stay engaged in the details while guiding others
Business-first thinking : You connect data science to real-world impact
Qualifications
Ph.D. in a STEM field with strong research experience
10+ years in data science, with expertise in modeling, optimization, and statistical analysis
Proven success building and deploying ML and GenAI models, ideally in marketplace or recommendation systems
Proficiency in Python, TensorFlow, PyTorch, SQL, and cloud-based platforms
Strong communication skills and ability to influence cross-functional teams
Experience translating complex findings into actionable insights
Bonus : Published research, patents, or conference presentations
This is a high-impact opportunity for a data science leader ready to drive innovation and shape the future of AI-powered talent solutions.
#J-18808-Ljbffr
What You'll Do
Lead development of machine learning, statistical, and generative AI models focused on recommendation systems and predictive analytics
Drive research initiatives to improve model scalability, interpretability, and real-world impact
Build experimentation frameworks (A / B testing, causal inference, statistical validation) to guide product decisions
Collaborate with engineering to deploy and monitor models in production
Align data science efforts with product strategy and client needs
Stay ahead of AI and GenAI trends, recommending innovations and best practices
Share thought leadership through publications, conferences, and mentoring
Leadership Mindset You'll lead through influence and example not hierarchy. We value :
Humility and accountability : You share credit, own mistakes, and welcome better ideas
Cross-functional collaboration : You break silos and prioritize company-wide success
Curiosity and feedback : You seek diverse perspectives and continuous improvement
Ownership mentality : You solve problems proactively and follow through
Hands-on leadership : You stay engaged in the details while guiding others
Business-first thinking : You connect data science to real-world impact
Qualifications
Ph.D. in a STEM field with strong research experience
10+ years in data science, with expertise in modeling, optimization, and statistical analysis
Proven success building and deploying ML and GenAI models, ideally in marketplace or recommendation systems
Proficiency in Python, TensorFlow, PyTorch, SQL, and cloud-based platforms
Strong communication skills and ability to influence cross-functional teams
Experience translating complex findings into actionable insights
Bonus : Published research, patents, or conference presentations
This is a high-impact opportunity for a data science leader ready to drive innovation and shape the future of AI-powered talent solutions.
#J-18808-Ljbffr