Lead Data Scientist (Ref: 195211) jobs in United States
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Forsyth Barnes · 2 days ago

Lead Data Scientist (Ref: 195211)

Forsyth Barnes is seeking a highly skilled and passionate Lead Data Scientist, Search to help build next-generation, AI-powered search experiences at enterprise scale. The role involves leading the design of advanced search and recommendation systems, collaborating with various teams to deliver world-class search capabilities using state-of-the-art technologies.

E-CommerceFinTechManagement ConsultingRecruitingSports
Hiring Manager
Jessica Dobie
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Responsibilities

Lead the design and implementation of advanced search algorithms, improving query understanding, retrieval, ranking, and page-level optimization using embeddings, graph learning, deep learning, and LLMs
Design and deploy ranking algorithms that go beyond keywords to consider content quality, user intent, and experience signals
Build AI-driven personalization systems that adapt search results based on user behavior, preferences, and contextual metadata
Collaborate with data and search engineers to develop scalable data pipelines supporting large-scale, multimodal datasets
Partner with software engineers and architects to design and optimize search infrastructure for performance, reliability, and scale
Create monitoring tools and processes to track search quality, data health, and system performance in real time
Design and analyze A/B tests and experiments to measure the impact of search improvements and validate hypotheses
Research emerging technologies in AI, ML, and search, and translate them into production-ready solutions
Mentor junior data scientists and ML engineers, helping grow a strong technical community focused on search excellence
Act as a technical leader, influencing enterprise-level architecture and strategy across AI and data systems

Qualification

Data ScienceMachine LearningSearch TechnologiesPythonDeep LearningBig DataAPIsTechnical LeadershipMentoringCollaboration

Required

6+ years of experience in data science, machine learning, or search systems, with 2–3+ years in a technical leadership role
Deep experience with search technologies such as Elastic, Solr, or similar platforms, including customization and tuning
Proven ability to lead multiple projects simultaneously, owning delivery and business impact
Strong experience with Python and modern ML/DL frameworks (TensorFlow, PyTorch, OpenAI, LangChain, etc.)
Expertise in big data and distributed systems (Spark, Kafka, streaming or batch processing systems)
Experience designing and maintaining APIs and production ML systems
Solid understanding of software engineering best practices for machine learning platforms
Comfortable presenting technical strategy and results to senior stakeholders and executives
Experience mentoring and developing junior technical talent
Strong knowledge of state-of-the-art search and ranking models; experience with multimodal search is a plus
A collaborative mindset with a strong focus on problem-solving, ownership, and delivery

Preferred

Master's degree (or equivalent experience) in Computer Science, Engineering, Mathematics, Physics, or another quantitative field preferred
6–10 years of progressive experience in a relevant technical domain

Company

Forsyth Barnes

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Specialists in mid to executive level appointments across FinTech, eTail and Sports & Entertainment industries.

Funding

Current Stage
Growth Stage

Leadership Team

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Scott Parsons
Managing Partner
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Company data provided by crunchbase