Job Details

ID #52713381
Estado Pennsylvania
Ciudad Philadelphia
Full-time
Salario USD TBD TBD
Fuente GlaxoSmithKline LLC
Showed 2024-10-16
Fecha 2024-10-17
Fecha tope 2024-12-15
Categoría Etcétera
Crear un currículum vítae
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Senior Data Scientist

Pennsylvania, Philadelphia, 19113 Philadelphia USA
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Reference #: 402992

Site Name: USA - Pennsylvania - Philadelphia, Durham Blackwell Street

Posted Date: Oct 15 2024GSK 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 stakeholdersWhy You?Basic Qualifications:Bachelor's degree in computer science, statistics, mathematics, or engineering6+ years of experience in developing product-level ML algorithms (4+ with a Masters)Experience creating production-level Python & SQL modelsExperience with Data Visualization tools and Apache SparkExperience in Bayesian Markov Chain Monte Carlo modeling and experience with PyTorch, SciKit, PyMC or TensorFlowPreferred 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 algorithmsPython 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, etcSubstantial knowledge in statistics and probabilities is requiredStrong written and verbal communication skillsAbility to translate analysis and modeling into insightful narratives is keyExperience in managing stakeholders and offshore teams, strong execution ability to run and manage end-to-end analytical projects and deliver meaningful insights and actionable recommendationsSuperior technical and problem-solving skills, with in-depth knowledge of various secondary databasesAbility to work independently and prioritize effectively.#LI-GSK

#GSKTech1Please 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 peopl 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).Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.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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