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.