Descripción de la oferta
Work on high-impact AI problems with forecasting, classification, regression, recommendations, LLMs or agents. Learn how to take ideas from inception to production, having an impact on Fortune-500 companies. Collaborate with talented Data Scientists, ML Engineers, Data Practitioners, PMs, and domain experts. Competitive package: top salary + performance bonus, private health insurance, flexible benefits (Cobee), hybrid work policy. About this role Spearhead the deployment of Aily at new client engagements by defining the initial AI insight strategy: identify high-impact business questions, prioritize analysis, and turn them into actionable analytical problems. Lead the first wave of analysis during onboarding, delivering high-quality insights through hands‑on work with Python, SQL, and data exploration to validate value and shape downstream AI solutions. Strategize how insights should come to life within the product experience: decide which insights belong in conversational LLM interactions, narrative story formats, or curated playlist‑style views, ensuring insights are timely, intuitive, and embedded where they drive the most user value. Partner with AI and product teams to align on feasibility and long-term scalability, and support AI teams on the creation of AI tools that answer the defined insights. Validate, interpret, and stress‑test AI model outputs to ensure accuracy, relevance, and business impact, continuously refining insight logic based on client feedback and real‑world usage. Communicate complex insights clearly to internal and external stakeholders: present findings, frame recommendations, surface gaps and opportunities, and help clients understand how AI drives measurable outcomes. Journey to impact Month 1: Deliver fast, industry‑specific impact. Quickly ramp up on a new client’s financial drivers and industry (pharma, luxury retail, music production, automotive), define and deliver high‑value analyses and prototypes using Python and SQL, and present actionable insights to client and internal stakeholders. Month 3: Turn insights into product experiences. Own how insights are designed and surfaced in the Aily product across LLM conversations, stories, and playlist‑style views. Partner with AI and engineering teams to automate and scale validated analyses into reliable insight pipelines. Month 6: Lead cross‑industry insight strategy. Become a trusted AI Insights Strategist, able to decode new industries rapidly, define high‑impact financial insights, influence best practices and the product roadmap, and communicate strategic recommendations to leadership and clients. We’re looking for a professional at the intersection of business, analytics, and AI, who excels at identifying high‑impact insights and ensuring AI drives real business value. You understand client context quickly, ask the right questions, and help translate analysis into productized insights. Analytical & technical foundation: Strong hands‑on skills in Python and SQL for exploratory and financial analysis. Comfortable working with ML or LLM‑based systems and collaborating with AI teams to scale analyses into production. Business & financial acumen: Deep understanding of how businesses create and measure value. Able to rapidly become a temporary subject‑matter expert in a client’s industry (e.g., pharma, retail, luxury, media) and prioritize insights by impact versus effort. Product & insight strategy mindset: Skilled at deciding how and where insights should live in the product across conversational LLMs, narrative stories, or curated views to maximize relevance and adoption. Insight‑driven problem solver: Curious, pragmatic, and fast‑moving. You test assumptions, interpret results critically, and favor simple, explainable solutions when they deliver the most value. Communication & collaboration: Clear and persuasive communicator with both technical and non‑technical stakeholders. Effective partner to product, engineering, AI teams, and clients. Startup mindset & ownership: Comfortable with ambiguity, short client cycles, and cross‑industry rotations. Autonomous, proactive, and accountable for delivering outcomes. Bonus points: Advanced quantitative background, strong software/data engineering fundamentals, or experience with modern LLMs and agentic systems. We currently have open positions at all levels, from Junior to Principal. #J-18808-Ljbffr
