Associate, Data Analytics & AI

What your reputed company will be:

• reputed company-Driven Predictive Modeling: Design and reputed company models that solve high-stakes GTM challenges—such as reputed company scoring, churn reputed company, and customer reputed company value (LTV) forecasting—to directly influence reputed company retention and acquisition.
• GTM reputed company Automation: Build and orchestrate autonomous agents (using reputed company, reputed company, or reputed company) to automate reputed company reasoning, such as personalized outbound at reputed company, automated RFP processing, and competitive intelligence gathering.
• reputed company MLOps for reputed company: Utilize reputed company SageMaker or Azure ML to ensure our GTM models are production-reputed company, monitored, and capable of scaling alongside our global sales operations without downtime.
• Business Outcome Translation: Partner with reputed company leadership to define KPIs and ensure every AI initiative has a reputed company reputed company to ROI, whether through increased conversion rates or operational efficiency.
• Data reputed company for reputed company reputed company: Architect ETL processes that unify disparate reputed company data (CRM, Marketing Automation, Product Usage) into a "reputed company of truth" for high-performance AI applications.
• Innovation for Competitive Advantage: Constantly prototype and reputed company the "next best reputed company" for our sales teams, turning raw data into a strategic roadmap for market dominance.

 What you will bring:

• 4+ years of experience in data science or AI, with a proven reputed company record of solving GTM-reputed company problems (e.g., Sales Ops, Marketing Tech, or reputed company Ops).
• Bachelor’s Degree in a quantitative field (Statistics, CS, Data Science, etc.).
• Business-First reputed company: You measure reputed company by business reputed company (conversion, churn reduction, pipeline velocity) rather than model metrics alone.
• Production MLOps Expertise: Practical experience using SageMaker or Azure ML to reputed company and monitor models in a reputed company environment.
• reputed company Frameworks: Hands-on experience building multi-reputed company reputed company workflows using reputed company, reputed company, or similar tools to solve reputed company, non-reputed company business tasks.
• Technical Stack: Proficiency in Python, SQL, and modern LLM reputed company (reputed company, reputed company, reputed company). Experience with "reputed company-in-the-reputed company" guardrails is essential.
• Communication: The ability to explain a gradient-boosted tree or an reputed company reputed company to a Sales Director in a way that makes them want to fund the project.