Senior Manager, Data Science - Foundational Models in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager, Data Science in United States.

This role sits at the intersection of advanced machine learning, generative AI, and large-scale personalization systems, driving the development of foundational models that power recommendation and ranking engines.
The position leads a high-impact team of data scientists and machine learning engineers focused on building intelligent systems that directly shape customer experiences.
It offers the opportunity to influence core algorithmic strategies that connect users with highly personalized products and services in a dynamic, data-rich environment.
The work spans end-to-end model development, from research and experimentation to production deployment at scale.
You will collaborate closely with cross-functional partners and senior leadership to translate business needs into robust technical solutions.
The environment is fast-paced, innovation-driven, and centered on applied AI, experimentation, and continuous improvement.
This is a leadership role for someone passionate about building impactful AI systems that combine technical excellence with real-world business value.

• Lead the development of advanced machine learning and AI-driven ranking and recommendation systems that enhance personalization, engagement, and business growth.
• Oversee the full lifecycle of model development, including ideation, experimentation, training, validation, deployment, and monitoring in production.
• Guide and mentor a team of machine learning engineers and data scientists, fostering a culture of ownership, innovation, and accountability.
• Partner with cross-functional stakeholders and executive leadership to translate business objectives into scalable technical solutions.
• Manage prioritization of algorithmic initiatives, balancing technical complexity, timelines, and business impact.
• Establish and promote best practices in coding standards, experimentation, data management, and AI-assisted development workflows.

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field; advanced degree preferred.
• 5+ years of experience building and deploying machine learning models, with strong exposure to recommendation systems or deep learning applications.
• 2+ years of experience in people management, with a proven ability to lead, motivate, and develop technical teams.
• Strong programming skills in Python with experience in production-grade code development and review.
• Experience with A/B testing frameworks, experimentation design, and performance evaluation metrics.
• Familiarity with cloud infrastructure, distributed systems, and large-scale data processing environments.
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Demonstrated ability to build trust and collaborate effectively across technical and business teams.

• Competitive base salary aligned with US market benchmarks and experience level.
• Eligibility for annual performance bonus and equity-based compensation (restricted stock units).
• Comprehensive health coverage including medical, dental, and vision insurance.
• Flexible remote work environment across the United States.
• Professional growth opportunities in advanced AI, machine learning, and applied data science.
• Access to cutting-edge tools, technologies, and innovation-driven projects.
• Inclusive and collaborative work culture focused on continuous learning and impact.