Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

WHAT YOU WILL DO

Let’s do this. Let’s change the world.

The ATO Manufacturing and Clinical Supply (MCS) is responsible for enabling the commercialization of the product pipeline while ensuring the global supply of our medicines to clinical studies across the globe. Our vision is to be an industry leader in delivering a diverse portfolio of innovative clinical and commercial medicines to patients worldwide, ensuring every patient, every study, every time.

MCS is seeking a DATA SCIENTIST who would focus on integrating complex data sources, performing data analytics, applying data science models, and developing various visualizations and dashboards. This role will actively collaborate with various business leaders and design and implement sophisticated analytical models.

Responsibilities:

• Leverage large datasets to conduct end-to-end supply chain and manufacturing analytics that include data gathering and requirements specifications, processing, analytics, and presentations
• Understand and collect business/functional requirements, recommend metrics, and create a roadmap/timeline
• Interact cross-functionally with a wide variety of people and teams. Work closely with subject matter experts to deliver value by developing novel, practical, scientific, data-driven solutions to meet business needs
• Synthesize input into a prioritized feature list and build User Stories (requirements) for each feature
• Build a wide range of data and analytics solutions, from descriptive to prescriptive, using sophisticated statistical and machine learning models
• Prototype, build, and customize analytical applications to enable in-depth analysis
• Define and create automated interactive dashboards and tools that turn data into business insights
• Document data relations, data flows, and business logic
• Partner with IS and Data Engineers to ensure that the models feeding the dashboards are robust, functional, and relevant to business needs
• Ensures delivery of efficient, agile, integrated business and system processes while incorporating agile project management approaches

POSSIBLE REMOTE OPPORTUNITY

WIN

WHAT WE EXPECT OF YOU

We are all different, yet we all use our unique contributions to serve patients.

BASIC QUALIFICATIONS:

• Doctorate OR
• Master’s degree and 3 years of engineering/data sciences/business analytics and/or life sciences experience OR
• Bachelor’s degree and 5 years of engineering/data sciences/business analytics and/or life sciences experience OR
• Associate’s degree and 10 years of engineering/data sciences/business analytics and/or life sciences experience OR
• High school diploma / GED and 12 years of engineering/data sciences/business analytics and/or life science experience

PREFERRED QUALIFICATIONS:

• Basic understanding of biologics manufacturing operations
• Expertise in advanced analytics and associated capabilities (e.g., AI, ML, pattern recognition, cloud-based application deployment, data lake/data fabric)
• In-depth hands-on experience with analytical tools (e.g., Python/R, Dash, Tableau, SQL, React, other data visualization, data pipeline tools)
• Experience in application development, application lifecycle management, and Agile development methodologies
• Experience in collaborative coding
• Experience with DevOps and software standard methodologies (i.e., version control, continuous integration, test-driven development)
• Ability to bridge functions, particularly technical and non-technical worlds
• Ability to communicate and provide significant business insights from data
• Strong verbal/written communication skills with attention to detail and organization
• Shown success in delivering results on multiple projects in an agile and fast-paced environment
• Excellent problem solving, storytelling, and communication skills with the ability to explain technical details for the business
• Independent, organized, able to multi-task in time-sensitive environments, and skilled in communication, facilitation, and collaboration
• Comfortable working in a fast-paced, collaborative, Agile team environment