Lightricks
SeniorDataScientist-ML&NLP
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optimal for Senior candidates.
“Senior Data Scientist- ML & NLP at Lightricks. Skills: NLP, ML, Python, BigQuery, GCP, classification, scoring, prediction, text-based features, AI agent evaluation. Build classification, scoring, and prediction models across B2B and B2C domains - lead prediction, account health monitoring, revenue and marketing forecasting, and extracting signals from unstructured user data. Contribute to the team's AI ecosystem, including evaluating and calibrating AI agent outputs”
What You'll Achieve.
models directly impact budget planning, marketing spend allocation, and product prioritization; building an agentic AI ecosystem that shapes how we research, ship, and monitor across the company
Industry & Context.
modeling instincts who cares about business impact; making sure the work lands and changes how decisions are made
What They're Looking For.
Must Have
M. Sc. or Ph. D. in Statistics, Computer Science, Mathematics, or a related quantitative field, 5+ years of hands-on data science experience, Proven experience deploying NLP or text-based models into production environments, programming skills in Python and SQL (BigQuery or equivalent), Experience with ML, End-to-end project experience: from business problem definition through research, modeling, production, and stakeholder delivery, Proven experience working with both unstructured and structured data, Daily use of AI tools in your workflow - you already work with LLMs, coding assistants, or AI-powered tooling as a natural part of how you get things done
Nice to Have
Ph. D. in Statistics, Computer Science, Mathematics, or a related quantitative field, familiarity with time-series methods is a plus, Experience with anomaly detection or unsupervised methods, Experience evaluating, calibrating, or benchmarking LLM and AI agent outputs, Fine-tuning or RAG production experience
What You'll Do.
and prediction models across B2B and B2C domains - lead prediction
account health monitoring
revenue and marketing forecasting
and extracting signals from unstructured user data
Contribute to the team's AI ecosystem
including evaluating and calibrating AI agent outputs
Work on ML projects across our revenue and marketing portfolio
Design text-based features from noisy
real-world user data - prompts
and improve AI agent outputs - measuring accuracy
and identifying failure modes in AI-generated results
Lead projects end-to-end: from identifying a business problem with stakeholders
through DS project planning and research
to production deployment and integration
Apply DS solutions to solve business problems across Finance
and other internal teams
How You'll Work.
Team & Collaboration
collaborate effectively across teams
Communication Scope
ability to present complex technical findings clearly to non-technical audiences
Process & Methodology
DS project planning, Lead projects end-to-end
Full Job Description
Lightricks is an AI-first company creating next-generation content creation technology for businesses, enterprises, and studios with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration. The company is also known globally for pioneering consumer creativity through products like Facetune, one of the world’s most recognized creative brands, which helped introduce AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution from concept to final render, to bring the future of expression to all. What you will be doing Our Data Science team is high-impact. Our models directly impact budget planning, marketing spend allocation, and product prioritization. We're building an agentic AI ecosystem that shapes how we research, ship, and monitor across the company. We're hiring a Senior Data Scientist with strong NLP and ML skills. You'll build classification, scoring, and prediction models across both B2B and B2C domains - lead prediction, account health monitoring, revenue and marketing forecasting, and extracting signals from unstructured user data. You'll also contribute to the team's AI ecosystem, including evaluating and calibrating AI agent outputs, and work on ML projects across our revenue and marketing portfolio. Our stack: Python, BigQuery, GCP, our own production pipeline framework, Prefect, and Grafana. We're looking for someone with strong modeling instincts who cares about business impact - not just technical depth, but making sure the work lands and changes how decisions are made. Build classification, scoring, and prediction models across B2B and B2C domains - lead scoring, account health monitoring, user segmentation, among owning ML projects across the
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