Senior Data Scientist

• Job Title: Senior Data Scientist
• Location: New York, United States
• Type: Full Time

Our Client is Looking an innovative and highly skilled Senior Data Scientist – Generative AI & Machine Learning to join a cutting-edge AI team focused on building next-generation intelligent applications. This role offers the opportunity to work with advanced technologies across NLP, speech, computer vision, and generative AI to deliver impactful enterprise and customer-facing solutions.

• Key Responsibilities
• AI/ML Development & Innovation
• Design, build, and deploy machine learning models across the full lifecycle (design → training → validation → production)
• Develop solutions leveraging generative AI, NLP, speech recognition, and computer vision
• Apply advanced analytics to extract insights from large-scale structured and unstructured datasets
• Experiment with emerging AI technologies and contribute to innovation initiatives
• Cross-Functional Collaboration
• Partner with data scientists, software engineers, product managers, and design teams
• Translate complex technical concepts into actionable business outcomes
• Contribute to building high-impact products and solutions that enhance user experience
• Cloud & Data Engineering
• Utilize modern technology stacks including Python, AWS, Spark, Kubernetes, and related tools
• Work with large-scale distributed systems and cloud-based data platforms
• Process and analyze large datasets efficiently to support scalable ML solutions
• Thought Leadership & Research
• Contribute to research and innovation in AI/ML domains
• Stay up to date with advancements in generative AI and emerging technologies
• Share knowledge and participate in technical communities and conferences

• What We’re Looking For
• Technical Expertise
• Strong experience in:
• Machine learning and deep learning
• Generative AI and NLP
• Large-scale data processing and analytics
• Proficiency in:
• Python, Scala, or R
• Cloud platforms (AWS preferred)
• Distributed computing frameworks (e.g., Spark)
• Experience working with relational databases and large datasets
• Analytical & Problem-Solving Skills
• Ability to work on complex, ambiguous problems and develop innovative solutions
• Strong statistical and modeling expertise
• Creativity and curiosity in exploring new approaches and technologies
• Leadership & Collaboration
• Strong communication and stakeholder engagement skills
• Ability to influence and lead initiatives within cross-functional teams
• Passion for mentoring and developing talent

Qualifications

• Required
• Bachelor’s, Master’s, or PhD in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Analytics)
• Relevant experience in data science or analytics based on degree level
• Experience with open-source programming languages for large-scale data analysis
• Experience building machine learning models and working with relational databases

Preferred

• Advanced degree in STEM discipline
• Experience with AWS or cloud-based ML platforms
• Experience managing or mentoring teams
• Strong background in large-scale AI/ML deployment and production systems