Apply data science expertise in machine learning, statistics, text-mining/NLP, forecasting, and optimization to multiple analytics projects.
Build models, algorithms, and simulations by writing highly optimized code and using state-of-the-art machine learning technologies.
Work with developers, engineers, and MLOps to deliver production-ready AI/ML solutions.
Requirements & Skills:
Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML.
Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization
Experience developing deployable code and deploying models in product-focused development under an agile environment
Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
Experience in production-ready software development
Excellent written and verbal communication, business analysis, data visualization, and data storytelling skills
A demonstrated ability to work and collaborate in a team environment
Nice to have:
Experience in writing optimization models (linear programming, mixed-integer programming, etc.) using Python or other programming languages.
Experience developing optimization models using open-source packages (Pyomo, PuLP etc.) or optimization solvers (Gurobi, CPLEX etc.), or Supply Chain Guru, etc.
Experience in life sciences and healthcare and experience in a complex global organization
PhD in mathematics, computer science, engineering, physics, statistics, economics, operation research or a related quantitative discipline with strong coding skills and 2+ years of hands-on data science/analytics experience, OR Master’s Degree in relevant domain with 6+ years of data science/analytics experience
Expertise with core data science languages (such as Python, R, Scala), and familiarity with different database systems (e.g. SQL, NoSQL)
Disciplined AI/ML development (CI/CD, Orchestration)
Knowledge of Tableau, Power BI, Plotly or similar
Experience with various enterprise-level Application Programming Interfaces (APIs)
Experience working in the Tech industry or technology consulting
Experience in pharmaceutical or industrial industries
