Bachelor's degree with 10+ years of experience in engineering, economics, statistics, computer science, or a related quantitative field.
Advanced degree with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, or a related field preferred.
Extensive experience using data science models in a business environment.
Experience influencing commercial strategies, particularly in pharmaceuticals or healthcare is preferred.
Responsibilities
Utilize data science models to resolve complex business challenges.
Analyze and interpret extensive datasets to inform strategic decisions.
Develop and implement machine learning technologies for business applications.
Manage secondary datasets and apply insights to real-world scenarios.
Integrate and synthesize data analyses into actionable recommendations.
Communicate data caveats and their implications for business strategy.
Adapt to changing priorities and manage multiple demands in a dynamic environment.
Benefits
Opportunities for professional development and advancement.
Exposure to cutting-edge data science technologies.
Collaborative and innovative working environment.
Engagement with significant projects in the healthcare sector.
Full Job Description
Job Description:
Qualifications
Minimum of bachelor's degree with 10+ years of experience, preferably in engineering, economics, statistics, computer science, or related quantitative field.
Advanced degree with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
Extensive experience using data science models to solve problems in a business environment setting.
Experience with influencing commercial strategies and tactics, experience in pharmaceutical or healthcare industry is preferred.
Relevant Experience
Extensive expertise and experience with, both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks.
Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques.
Deep understanding of artificial intelligence concepts, experience with AI frameworks and libraries such as TensorFlow or PyTorch is also valuable.
Extensive experience in management of secondary data with application to real-world data.
Exceptional ability to connect, integrate and synthesize analysis and data into a meaningful so what' to drive concrete strategic recommendations for brand tactics.
Skilled of describing relevant caveats in data or in a model and how they relate to business question or recommendation.
Ability to be flexible, prioritize multiple demands and deal with ambiguity.
