Manager, Data Science
Philadelphia Walnut Street
GSK
At GSK, we unite science, technology and talent to get ahead of disease togetherGSK is one of the world's preeminent pharmaceutical and healthcare companies. We take pride in leading a healthcare revolution. Through disruptive approaches in R&D and commercial business processes, our Data & Analytics team integrates, simplifies, and unlocks all our data. This drives innovation, decision-making, and allows us to better serve our patients, healthcare professionals, and consumers.
This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following…
- Utilize sales and marketing data to develop actionable insights and recommendations to improve patient access with a focus on ROAS/ROI.
- Collaborate and partner effectively with various stakeholders across the enterprise, including Marketing/Sales, Commercial Insight, Finance and Managed Market teams across the US to identify analytics needs and formulate analysis plans.
- Conduct cross-portfolio ad-hoc analyses (e.g. marketing mix, test/control, subnational trend assessment) according to US Pharma’s business needs, and in support of US enterprise workstreams and senior management requests.
- Conduct brand & portfolio consumer-segment, campaign, and channel analytics and implement marketing performance measurement processes such as Marketing Mix Optimization and campaign assessment ROI.
- Standardize analytic processes to monitor and measure performance across brands continually.
- Coordinate with the offshore team and partner with them on various projects, setting project scopes, timelines, and deliverables.
- Create presentations and communicate results/findings to internal stakeholders
Why you?
Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:
- Bachelor's degree in computer science, statistics, mathematics, engineering, or a related field, with 6+ years of indicative experience in developing product-level ML algorithms (4+ with a Masters)
- knowledge in statistics and probabilities is required
- Experience creating production-level Python & SQL models
- Excellent problem-solving and data analytic skills, with a working knowledge of various statistical modeling techniques and their application within complex analytical projects, e.g., machine learning techniques, regression modeling, Bayesian modeling, decision trees and related tree enhancement techniques, promotion response modeling, ROI and Test-control analysis, etc…
- Experience in translating analysis and modeling into insightful narratives
Preferred Qualifications:
If you have the following characteristics, it would be a plus:
- Master's degree in computer science or a related field (see the fields listed above), with 4+ years of indicative experience in developing product-level ML algorithms
- Working knowledge of healthcare/pharma datasets, such as patient claims data.
- Ability to work independently and prioritize effectively.
- Python coding experience exceeding 4,000 hours is preferred. Interviews will test knowledge of Python
- Experience with Data Visualization tools, and Apache Spark
- Experience in Bayesian Markov Chain Monte Carlo modeling is a plus, as is familiarity with PyTorch, SciKit, PyMC or TensorFlow
- Expertise in all regression modeling techniques (multi-variate and logistical)
- Lead and manage end-to-end analytical projects and deliver meaningful insights and actionable recommendations
#LI-GSK
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.
If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).
GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bayesian Computer Science Data visualization Engineering Finance Machine Learning Markov Chain Mathematics Monte Carlo Pharma Python PyTorch R R&D Scikit-learn Spark SQL Statistical modeling Statistics TensorFlow
Perks/benefits: Career development Health care
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