Position Details
Head of Data Science Apply
Job Description
Job Description
Head of Data Science - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.This job was first posted by CyberCoders on 01/14/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.
-This is remote opportunity
We automatically ingest incoming documents, emails, and attachments. We are a fast-paced, rapidly growing startup. We are hiring a Head of Data Science to drive applied machine learning and generative AI initiatives across our platform while leading and growing our Data Science team. This is a high-impact role for someone who can think strategically, manage and mentor a team, and still contribute hands-on building and evaluating production-grade models and partnering closely with Engineering and Product to deliver measurable outcomes. You will focus on Document AI including unitization, classification, and extraction and you will own our model monitoring and evaluation frameworks, ensuring we deliver world-class accuracy, scalability, and reliability in production.
What you will be doing:
-Lead applied research and experimentation on document understanding models, unitization, classification, information extraction, and hybrid (LLM + traditional ML) architectures.
-Collaborate with the India-based Data Science team on model design, evaluation, and deployment strategies.
-Partner with Product, Customer Success, and Implementation teams in the U.S. to translate business needs into data-driven solutions and measurable KPIs.
-Develop and improve model monitoring and evaluation pipelines for accuracy, drift detection, and cost-performance tradeoffs.
-Explore and benchmark commercial and open-source models (OpenAI, Anthropic, Claude, Mistral, Hugging Face, etc.) for Document AI use cases.
-Design data sampling and feedback strategies (e.g., golden datasets, active learning, fine-tuning datasets) to continuously improve model performance.
-Develop frameworks for scalable experimentation, A/B testing, and prompt optimization frameworks.
What you need:
-5+ yrs of experience in applied Data Science / ML, including at least 2+ years in NLP or Document AI.
-Strong command of Python, PyTorch / TensorFlow, Hugging Face, OpenAI / Anthropic APIs, and vector databases (Qdrant, pgvector, Pinecone).
-Deep experience in document classification, entity extraction, embeddings, and text similarity.
-Strong experience in LLM prompt engineering, fine-tuning, and evaluation frameworks.
-Experience with MLOps / model evaluation pipelines (MLflow, Weights & Biases, LangFuse, or equivalent).
-Strong grasp of SQL and data modeling (PostgreSQL, RDS, etc.).
-Prior work on multimodal (image and text) document pipelines or OCR-based data extraction.
-Experience with active learning, RLHF, or auto-validation frameworks.
-Familiarity with AWS (EKS, SageMaker, Bedrock) and containerized model deployments.
-Previous experience working in a remote-first or cross-border team environment.
-Background in regulated industries
Why us:
-Be the first Data Scientist hire in the U.S., shaping the foundation for future growth.
-Work on cutting-edge Generative AI and Document AI problems at scale.
-Collaborate directly with leadership across continents.
-Contribute to a product that used daily by enterprises across the U.S.
-High ownership, autonomy, and opportunity to make measurable impact.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.
