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 doingOur 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 team's portfolio - Design text-based features from noisy, real-world user data - prompts, project metadata, usage patterns — where off-the-shelf embeddings aren't necessarily enough and domain-specific signal extraction matters - Evaluate, calibrate, 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, Marketing, Product, and other internal teams Your skills and experience - 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 - Strong programming skills in Python and SQL (BigQuery or equivalent) - Experience with ML frameworks; familiarity with time-series methods is a plus - 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 - Strong communication skills - ability to present complex technical findings clearly to non-technical audiences, and collaborate effectively across teams Good to haves - Experience with anomaly detection or unsupervised methods - Experience evaluating, calibrating, or benchmarking LLM and AI agent outputs - Fine-tuning or RAG production experience Why Join Us:We’re here to push the boundaries of what’s possible with AI and video - not for the buzz, but for the craft, the challenge, and the chance to make something genuinely new. We believe in an environment where people are encouraged to think, create and explore. Real impact happens when people are empowered to experiment, evolve, and elevate together. At Lightricks, every breakthrough starts with great people and a collaborative mindset. If you're looking for a place that combines deep tech, creative energy, and zero buzzword culture, you might be in the right place. We got you covered!We empower employees with cutting-edge tools and learning opportunities to grow and succeed through workshops, access and training on platforms, subscriptions, and clear guidelines for responsible AI use. We offer Car-to-go subscriptions and run daily door-to-door shuttles from several locations in central Israel, plus free parking and train-station pickups. We’re proud to have 2 chef-led restaurants on site by the legendary Machneyuda Group (yes, that Machneyuda!), plus a bakery nestled in the heart of our office, filled daily with the scent of fresh pastries.

Role Description We are seeking a highly motivated and hands-on Data Scientist / Senior Data Engineer to help build and scale KPI’s Closed-Loop Design Program — an initiative focused on accelerating pre-sales engineering, improving automation design accuracy, and leveraging AI-driven insights across the customer solution lifecycle. This role sits at the intersection of: - Data Engineering - Applied AI & Analytics - Supply Chain Automation - Solution Design You will work closely with solution architects, engineering teams, and business stakeholders to transform RFPs, customer requirements, and historical project data into intelligent, repeatable outputs that drive faster and more accurate proposal development. This is an exciting opportunity for someone who enjoys building systems from the ground up, solving complex operational problems, and influencing how advanced automation solutions are designed and delivered. What You’ll Deliver: High-Impact Use Cases - RFP & Specification Intelligence: Extract requirements, generate compliance matrices, and identify clarifying questions automatically. - Cost & ROI Scenario Modeling: Support data-driven decision-making through option comparisons and sensitivity analysis. - Proposal “Fact Pack” Automation: Create scalable executive summaries and SOW-ready proposal content from governed datasets. - Design & Operational Analytics: Analyze throughput, staffing models, slotting strategies, and replenishment impacts. - Benchmark-Driven Solution Guidance: Leverage historical project data and comparable implementations to guide future designs. What You’ll Do - Build and maintain curated datasets using Databricks (Delta tables, jobs, SQL Warehouses) and SQL-based governed reporting tables. - Ingest and manage full pursuit lifecycle artifacts including RFPs, specifications, drawings, and addenda with proper metadata and version control. - Develop applied analytics solutions including: - Forecasting - Scenario modeling - Optimization (LP/MILP or practical heuristics) - Similarity modeling and benchmarking - Publish reliable datasets and insights for Tableau Cloud consumption with consistent business definitions. - Establish a closed-loop learning cycle by comparing design assumptions against operational outcomes to continuously improve benchmarks and estimate accuracy. - Partner cross-functionally with engineering, analytics, and solution design teams to improve automation decision-making at scale. What Success Looks Like - Accelerate proposal development with intelligent, governed “first draft” solution packs. - Improve confidence and accuracy in complex automation pursuits. - Build scalable benchmarking capabilities that improve operational estimates over time. - Create data products that directly influence automation strategy and customer outcomes. Qualifications - 4+ years of experience in: - Data Science - Analytics Engineering - Applied Machine Learning - Strong SQL skills including: - Data modeling - Query optimization - Governance-ready dataset development - Hands-on experience with Databricks (Delta Lake, notebooks, jobs, SQL Warehouses) or similar enterprise data platforms. - Strong Python experience preferred for: - Data preparation - Modeling - Workflow automation - Ability to communicate assumptions, risks, and analytical outcomes clearly to technical and non-technical stakeholders. Preferred Qualifications - Experience in warehouse automation or intralogistics environments: - AMRs - AutoStore - Shuttle systems - Sortation - WES/WCS platforms - Experience with: - Forecasting - Optimization - Simulation / Digital Twin technologies - Decision-support analytics - Familiarity with document parsing and extraction workflows for RFP/specification processing. - Tableau experience including: - Curated dataset publishing - Dashboard performance optimization Benefits - Medical Insurance - Dental Insurance - Vision Insurance - Health Care Concierge Service - 401(k) Retirement Plan (Pre-tax & Roth) - Company paid Basic Life Insurance, Short-Term Disability & Long-Term Disability - Voluntary Life & AD&D Insurance - Voluntary Accident, Critical Illness & Hospital Indemnity Insurance - Pet Insurance - Milk Stork Program - Wellness Program with gift card redemption and wellness challenges - Paid Time Off (Vacation, Sick & 10 Holidays) - Training & Development

• Build, validate, and deploy statistical and machine learning models (e.g. anomaly detection, fraud detection, clustering, NLP, generative AI). • Experiment with advanced techniques (e.g. graph neural networks, LLMs, deep learning) to push the boundaries of what data can deliver. • Collaborate with engineering, product, and business teams to translate strategic questions into data-driven solutions. • Contribute to architectural discussions on scalable, production-ready ML systems. • Share your knowledge with a team of passionate engineers and help foster a culture of agile, data-driven decision-making.

Role Description As the Head of Data Science & AI and Implementation at Buyers Edge Platform, you will lead our Data Science & AI transformation and shape the future of our business through innovative AI solutions. This is an exciting opportunity to develop and execute a forward-thinking AI strategy that aligns with our global objectives, driving operational excellence, enhancing data capabilities, and delivering actionable insights. You'll achieve this by collaborating cross-functionally across our platform of brands to integrate AI technologies into our operations, ensuring they deliver measurable value while upholding the highest standards of responsibility and ethics. Your impact: - Lead the team: - Own technical direction, hiring, performance, and career development for a ~20-person org spanning product management, data science, ML engineering, and applied AI. - Oversee the operating model, from project inception to evaluation and maintenance. - Mentor leaders and technical teams while creating scalable operating models. - Serve as a trusted advisor to executive leadership and translate highly technical concepts into actionable business strategy. - Ship into Platform products: - Partner with product and engineering teams across the Buyers Edge Platform organization to determine and deploy data science and AI applications that deliver value, automation, and efficiency. - Direct build-vs-buy calls when it comes to software, tools, data and other assets required for Buyers Edge to succeed in its data science & AI mandates. - Drive enterprise decision support: - Use proprietary and external data sources to build forecasting, anomaly detection, and decision-support capabilities for internal ops, brand presidents, and customers. - Champion KPI frameworks that make model impact tangible for business leaders. - Set the bar for responsible AI: - Establish governance, evaluation, and monitoring standards appropriate for a regulated B2B environment. - Partner with legal, IT and security to ensure compliance and security across the team’s implementations as well as AI tools used by other teams. - Develop policies addressing data privacy, compliance, explainability, model bias mitigation, and responsible AI practices. - Year One Impacts: - Clarify operating model and roadmap for Data Science & AI team, ensuring team buy-in and efficient allocation of resources. - Direct deployment of at least two AI- or ML-powered capabilities into Buyers Edge products with measurable business impact. - Architect and retrofit evaluation and monitor infrastructure for new and existing products. - Develop and execute a company-wide AI strategy that supports Buyers Edge Platform’s long-term growth strategy across our portfolio of brands and solutions. Qualifications - Expert-level proficiency in Python and SQL. - Advanced knowledge of database architecture and schema design. - Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, Google Cloud). - Proven expertise with large language models (LLMs), including prompting and fine-tuning, and predictive AI for time series challenges. - Exceptional ability to align AI strategies with business objectives and drive organizational change. - Strong project management experience, including Agile methodologies. - Outstanding communication skills, with the ability to convey complex AI concepts to non-technical audiences. - Deep understanding of AI ethics, bias mitigation, and explainability techniques. - Experience developing governance frameworks for responsible AI use. - Leverage AI to enhance operational efficiency, customer satisfaction, and revenue growth, contributing to company success. - Collaborate with the executive team to align AI initiatives with organizational goals, using data-driven insights to solve complex challenges. - Champion experimentation and adaptability, driving transformative change in a dynamic environment. - Lead with integrity and emotional intelligence, fostering a collaborative and inclusive culture while mentoring talent for current and future needs. Education - Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Business, or a related field (PhD preferred). - 8+ years of experience in AI, data science, or digital transformation, including 5+ years in a senior leadership role. - Proven success implementing AI strategies in fast-paced, innovative environments (e.g., start-ups or high-growth tech companies). - Extensive knowledge of machine learning, NLP, generative AI, and automation technologies. - Expertise in AI governance, risk management, and regulatory compliance. - Strong business acumen with a track record of communicating AI value to non-technical stakeholders. Benefits - Great benefits from day one. We offer medical, dental, vision, FSA, company-paid life insurance, and more—plus a 401(k) with company match. - Grow with us. Enjoy strong training, development, and competitive pay. - Work-life balance. Our flexible PTO policy lets you take time when you need it—no accrual required. Company Description Buyers Edge Platform stands at the forefront of revolutionizing the foodservice industry through technology, purchasing power and partnerships. We are dedicated to empowering stakeholders across the entire foodservice ecosystem (operators, distributors, manufacturers) with efficiency and unprecedented visibility. With a diverse portfolio of over a dozen brands, our mission is clear: to reduce costs, streamline the foodservice supply chain, and propel the industry from manual to automated. Today, we are one of the largest players in foodservice, with over 200K operator locations across North America and over $50 billion of aggregated spend volume. Our commitment to foodservice excellence is proven in four distinct areas of value: Digital Procurement Network, Fresh Solutions, Supply Chain Management, and Software. Buyers Edge Platform is not just a provider – we are a strategic partner on the journey towards a more efficient, connected, and automated future for the foodservice industry.