GSK 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.

Responsibilities:

• Peruse GSK’s dataframes and use the insights attained to develop actionable initiatives that have a high likelihood of increasing ROAS, ROI, market share or cash flow.

• Collaborate and partner effectively with various stakeholders across the enterprise, including Marketing, Commercial Insight, Marketing, Finance and Managed Market teams across the US and Global teams to 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.

• Create presentations and communicate results/findings to internal stakeholders

Why You?

Basic Qualifications:

• Bachelor's degree in computer science, statistics, mathematics, or engineering

• 6+ years of experience in developing product-level ML algorithms (4+ with a Masters)

• Experience creating production-level Python & SQL models

• Experience with Data Visualization tools and Apache Spark

• Experience in Bayesian Markov Chain Monte Carlo modeling and experience with PyTorch, SciKit, PyMC or TensorFlow

Preferred Qualifications:

• 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

• Python coding experience exceeding 4,000 hours is preferred.

• Expertise in all regression modeling techniques (multi-variate and logistical)

• 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

• Substantial knowledge in statistics and probabilities is required

• Strong written and verbal communication skills

• Ability to translate analysis and modeling into insightful narratives is key

• Experience in managing stakeholders and offshore teams, strong execution ability to run and manage end-to-end analytical projects and deliver meaningful insights and actionable recommendations

• Superior technical and problem-solving skills, with in-depth knowledge of various secondary databases

• Ability to work independently and prioritize effectively.

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The annual base salary for new hires in this position ranges from $130,900 to $177,100 taking into account a number of factors including work location, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

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 pe