At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:

• Career development with an international company where you can grow the career you dream of.
• Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
• An excellent retirement savings plan with high employer contribution
• Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit – an affordable and convenient path to getting a bachelor’s degree.
• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This position works for the Abbott Diabetes Care (ADC) division where we’re focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology.

The primary role of the Data Scientist in Data Strategy and Analytics of is to design, validate, and solve strategic questions addressing business opportunities across the organization using data sources using a wide variety of structured and unstructured data sources such as app utilization data, customer contacts, sales performance, and secondary analytics on market performance. The Data Scientist will take a leadership role in the development, integration and execution of Data Science projects across strategic business partners. He/she will work cross functionally with sales management, finance, marketing, forecasting and pricing. He/she will present analyses and recommendations concerning strategic investments to senior management as well as scenario analysis for various strategic options on spend and budget allocation.

What You’ll Work On

• Focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them
• Manage the creation of mathematical models to deliver business value by leveraging statistical practices, operations research techniques, and data analysis
• Coordinate efforts with cross functional divisions and strategic business partners to design systems that support analysis
• Design, validate, and solve strategic questions addressing business opportunities across the organization using data sources using a wide variety of structured and unstructured data sources such as app utilization data, customer contacts, sales performance, and secondary analytics on market performance
• Create data-driven stories that address strategic business questions, supported by strong analytical skills with a solid foundation in programming (e.g. R, python), database environment (e.g. big-data platforms, SQL), and dashboard development (e.g. PowerBI)
• Work cross-functionally to design systems that will support deep analysis
• Define and implement a clear data science and analytics roadmap for the division, with proven ability to influence cross-functionally in order to materially impact the business
• Design, create, test, and implement complex models and algorithms that drive analytical solutions throughout the organization
• Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance
• Collaborate with technical translators and understand business opportunities to implement scalable and sustainable solutions
• Collaborate with other teams to develop novel ways of meeting business objectives utilizing cutting-edge technologies and tools and disseminate best practices
• Stay abreast of developments at the intersection of data science, technology, and business relevant to the company and drive business innovation through analytics
• Effectively communicate the analytics approach and how it will meet and address objectives to business partners
• Develop reporting/dashboards and communicate results to senior management.
• Manage across both internal and external partners to develop and maintain data science infrastructure.
• Identify market opportunities within a channel as well as across channels.
• Evaluate the ROI of promotional efforts and.
• Provide recommendations to optimize promotional spend.
• Identify secondary data sources and manage external vendors to conduct advance analyses of various sales efforts.
• Understand and incorporate key factors such as market demand, category trends, inventory position and contract terms to drive comprehensive sales forecasts.
• Manage and develop people.
• Responsible for people management and development initiatives including:
• Leading recruitment efforts.
• Coordination of training for new data scientists and ongoing education and development of all direct reports.
• Business Communications
• Build an understanding of strategic issues.
• Develop insightful summaries of key findings.
• Conclusions and recommendations for senior management.
• Create and implement training concerning analytics Policies/Compliance.
• Adhere to all financial, quality and compliance policies and procedures.
• Ensure all direct reports are adhering to the policies and procedures.

Required Qualifications

Bachelor’s degree in Mathematics, Statistics, related technical field, or equivalent practical experience.

8+ years of relevant experience in the biological data analytics/science in a relevant industrial or academic setting.

Preferred Qualifications

10+ years of experience in analytics

Strong understanding of data analytics, structured and unstructured data analysis, predictive modeling techniques, and data visualization as well as a good command of emerging methodologies like artificial intelligence

Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) plus reporting tools such as PowerBI, SAP BI

Experience engaging cross-functional teams to build a strong data infrastructure

A recognized thought leader and innovator in the development of new tools, methodologies, and problem-solving approaches

Broad understanding of the latest data science, analytics, and technology trends and their impact on business strategies and operations

Curiosity-driven, with mindset geared towards continuous learning.  Must be comfortable with ambiguity with a proven track record of being a self-starter.

Outstanding communication skills, particularly in conveying complex technical concepts to non-technical audiences such as clients, team members and senior executives.

Ability to travel / work in Europe and other countries for extensive periods when needed (initially 1-3 months at a time; longer-term settling to 10%)

MSc/PhD ideally in Computer Science, Mathematics, Statistics, Engineering, or similar technical disciplines/experience

Good understanding of AWS tools such as Athena, Sagemaker, Comprehend

Good understanding of data pipelines such as data transfer methods, API documentation

Experience with large-scale A/B testing systems, especially in the domain of online advertising

Apply Now

* Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year.

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: 

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.