Senior Data Scientist

Role snapshot

• Title: Senior Data Scientist
• Location: Indianapolis, IN (hybrid)
• Travel: Minimal
• Engagement: Full-time, placed with a global life sciences client of Augmented
• Level: Senior (12+ years in data science or related work)
• Reports to: Enterprise Data Science team

About the role

• Augmented is hiring a Senior Data Scientist for a global life sciences client. You will use advanced analytics to solve complex problems across the client's entire value chain, partnering with Strategy & Innovation, R&D, Manufacturing, Finance and Commercial teams.
• This role suits a curious, creative problem-solver who turns data into tangible business value. The work focuses on four strategic priorities:
• Pipeline acceleration: speed up the search for and approval of high-impact products, with a focus on speed, cost and precision
• Manufacturing excellence: improve the efficiency, quality and consistency of core manufacturing processes, including execution and equipment effectiveness
• Sales effectiveness: make relevant customer insights easier to find, trust and use, driving sales growth and engagement
• Productivity: grow operating margin by systematically reducing operating expenses across the business
• Key responsibilities

• End-to-end model development: design, develop and validate statistical and machine learning models, from initial data exploration to final analysis
• Analytical thought leadership: analyze large, complex data sets to solve business problems, including operations research methods to optimize decisions and processes
• Cross-functional problem solving: translate business challenges into data science frameworks, for example:
• Strategy & Innovation: market and competitor analysis
• R&D: drug discovery, target identification, clinical trial analysis and drug repurposing
• Manufacturing: supply chain optimization, predictive quality control and predictive maintenance to improve yields
• Finance: financial, margin and profitability analysis
• Commercial: sales forecasting, pricing and promotion optimization, personalized marketing, customer behavior analysis and insights surfaced through large language models
• Actionable insights: interpret results, synthesize findings and give clear recommendations to stakeholders at all levels
• Data storytelling: present complex findings as clear, compelling narratives using data visualization
• Deployment: partner with Data, AI and ML Engineers to integrate models into business processes and applications
• Innovation: research and apply new methods in machine learning, statistics and AI
• Data-driven culture: educate and mentor colleagues on data science principles and best practices
• Required qualifications

• Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science or Operations Research
• 12+ years of experience in data science or related work
• Strong programming skills in Python or R, with expertise in data manipulation and machine learning libraries
• Deep understanding of statistics and experimental design, including hypothesis testing, regression and classification
• Proven use of a range of ML techniques (e.g. gradient boosting, clustering, NLP, time-series forecasting) on real-world problems
• Expertise with visualization tools and the ability to explain complex topics to non-technical audiences
• Authorized to work in the United States
• Nice to have

• Finance domain experience: financial data, forecasting, budgeting, profitability and business performance analytics
• Business acumen: quick to grasp business challenges and connect insights to strategic goals; experience in pharma, life sciences, manufacturing or commercial analytics is a major plus
• Life sciences industry knowledge: business model, regulatory and compliance requirements, risks and rewards
• Strong SQL for querying relational databases
• Experience with Microsoft Azure and Google Cloud Platform (GCP) data and analytics services
• Why Augmented

• Augmented is an AI-native engineering delivery hub serving large enterprises in Life Sciences and Fintech, with teams in Toronto and the US.
• Lead high-impact data science across R&D, manufacturing, finance and commercial functions
• Work alongside senior teams with direct access to business leaders
• Exposure to AI-native delivery practices and modern tooling
• Compensation: [salary range to confirm] plus benefits
• How to apply

• Don't meet every requirement? We still encourage you to apply. You may be the right fit for this role or others.
• Apply through this posting with your resume and a short note on a data science project that delivered measurable business impact.
• Augmented is an equal opportunity employer and does not discriminate on the basis of any legally protected status. Accommodations are available on request at any stage of the hiring process.