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Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io As a Finance Operations Specialist , you will be the technological and operational engine of our Finance department, designed to bridge the gap between finance, engineering, and data teams. You will play a key role in managing and optimizing our finance tech stack, ensuring our core systems are tailored to support our rapid growth, while acting as a central node for cross-departmental financial data flows. You will act as an automation leader within the team, proactively identifying manual bottlenecks and replacing them with smart workflows and modern finance tools. By stabilizing our systems and strengthening our data infrastructure, you will free up the FP&A and Accounting teams from repetitive technical tasks, allowing the entire department to shift its focus from manual data gathering to strategic decision-making. What You Will Own Cross-Functional Data Leadership: Act as the central partner between the Finance and Data departments, defining data requirements, maintaining operational models, and ensuring data integrity across all financial systems. System Maintenance & Optimization: Support the ongoing configuration, maintenance, and technical health of core financial platforms (such as our ERP and AP workflows), ensuring they meet the team's evolving needs. Process Automation: Proactively identify manual finance processes and design automated solutions using advanced tools and integrations to save time and reduce human error. Cloud & Tech Spend Analytics: Partner with Engineering and Data teams to represent the financial side of our cloud and AI spend, analyzing cost data and building real-time dashboards to track unit economics. Financial Workflows: Streamline bookkeeping and accounting workflows, including vendor management and month-end tasks, ensuring the "finance machine" runs smoothly and autonomously. Tech Evaluation: Constantly evaluate and implement new technologies and features to ensure Artlist remains at the forefront of modern, data-driven finance.

Required Customer-Facing Data Scientist - Demand Forecasting
HQ in Tel Aviv with a growing sales and marketing organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, Mars, and SciPlay.
Demand Forecasting Team:
The Demand Forecasting team is at a pivotal, high-growth stage. We have successfully built our core pipeline and are now aggressively onboarding new, diverse customers. This role is highly dynamic, requiring a blend of technical depth, proactive research, and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities:
As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will:
Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models.
Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling.
Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business.
Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not.
Be instrumental in helping our clients achieve their business goals and realize the measurable value of our Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.