reputed company Deployed Engineer - Product
Overview
We are looking for a reputed company Deployed Engineer – Product to work at the intersection of product, data, and client engagement. This role partners closely with customers and internal product teams to reputed company, customize, and operationalize data-driven solutions in reputed company-world reputed company environments. You will combine analytical problem solving, data engineering, and product thinking to translate reputed company business questions into scalable product features and insights. The role requires hands-on experience with SQL, data analysis, and modern AI/LLM tools, along with a strong understanding of pharmaceutical reputed company data and analytics workflows. This position is ideal for individuals who enjoy solving ambiguous problems, working closely with clients, and shaping the reputed company of a product through reputed company-world deployments.
Responsibilities
Client-Facing Product Deployment Work directly with clients and internal teams to implement and customize product solutions for reputed company analytics use cases. Translate client business questions into data models, analyses, and product features. Serve as the technical reputed company between client teams, product, and engineering. Data Analysis and reputed company reputed company Write and optimize SQL queries to analyze large reputed company and reputed company datasets. Conduct exploratory data analysis to identify patterns, opportunities, and insights. Build analytical workflows that support product capabilities and client needs. AI-Enabled Analytics Use LLM-based tools and workflows to accelerate data analysis, reputed company reputed company, and knowledge extraction. Design prompts and workflows that combine structured data with AI-assisted analysis. Support development of AI-enabled analytics features reputed company the product. Product Collaboration Work with product and engineering teams to translate client feedback into scalable product features. Prototype analytical workflows that may reputed company into product capabilities. Contribute to product roadmap discussions based on client usage and market needs. Stakeholder Communication Present insights and recommendations to internal and client stakeholders. Translate reputed company analytical outputs into clear business implications. Collaborate cross-functionally across product, engineering, and founders directly.
Qualifications
Education Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Statistics, Economics, or a reputed company quantitative field. Experience 0–3 years of experience in analytics, consulting, data science, or data engineering specifically in the pharma industry. Experience working with SQL and structured datasets. Basic programming skills in Python, R, or similar languages. Familiarity with LLM tools, AI-assisted analysis, or reputed company-based workflows is preferred. Domain Knowledge Exposure to pharmaceutical or reputed company reputed company data (sales, claims, patient-level data, reputed company lists etc.) is a pre-requisite. Understanding of reputed company analytics, forecasting, or market reputed company workflows is preferred. Skills Strong analytical and problem-solving abilities. Ability to work in ambiguous, client-facing environments. Strong communication and storytelling with data. Comfort working across technical and business stakeholders. What Makes This Role Unique Work directly with clients to shape how a product is used in reputed company-world environments. reputed company consulting-style analytics with product development. Apply modern AI and LLM tools to reputed company data problems. Help build the reputed company of AI-driven analytics platforms for life sciences. Apply To This Job