Senior AI Engineer

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Thermo Fisher Scientific

WebsiteLinkedInAll Job Openings

Analytical Instruments • Laboratory Supply Chain Programs and eCommerce • Laboratory Equipment • Lab Services • Specialty Diagnostics

10,000+ employees

Founded 1956

🧬 Biotechnology

💊 Pharmaceuticals

🔬 Science

Description

• Executes advanced analytics modeling based on exploratory data analysis from complex and high-dimensional datasets. • Supports organization leadership through data-driven decision validation and support. • Effectively collaborates with cross-functional stakeholders to identify questions and business challenges. • Designs, develops, and programs methods, processes, and software programs to analyze unstructured, diverse data sources. • Identifies meaningful insights from large data and metadata sources through exploratory data analysis. • Effectively communicates and guides stakeholders through the machine learning process.

Requirements

• Bachelor's degree or equivalent and relevant formal academic / vocational qualification • Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to 5+ years). • Strong working knowledge of application of statistics, programming, data modeling, simulation, and advanced mathematics to business questions for data analysis • Demonstrated skills with exploratory data analysis techniques involving structured and unstructured data, machine learning (e.g. decision trees, neural networks, clustering, classification, Bayesian networks), model validation techniques, and data visualization techniques • In depth knowledge in one or more of the following technical areas: Snowflake, AWS EMR, Python, Spark, R, Shiny, jupyter, and associated packages and libraries from numpy, pandas, SciPy or NLTK • Thorough knowledge of and exposure to cloud architectures across NoSQL, lambda functions, kafka, sagemaker, tensorflow, etc. • Proficiency with the following data science approaches: data engineering, pipelining and wrangling tools, data visualization and modeling tools, and mathematical approaches to imperfect data • Substantial knowledge of data management approaches such as relational databases, data schemas, object stores, column stores, triple stores, graph stores, and/or document stores • Proven ability to deliver accurate work products in a cross-functional matrix environment spanning data warehousing, data modeling, and data analytics while managing multiple competing priorities • Sound analytical skills and demonstrated proficiency in developing detailed analysis, models, plan calculations, and tools • Solid executive presence with ability to communicate effectively and influence at all levels • Demonstrated creativity in identifying non-traditional data sources in addition to rigorous application of leading analytic techniques

Benefits

• A choice of national medical and dental plans, and a national vision plan • A wellness program, and valuable health incentive opportunities for company contributions to a Health Reimbursement Accounts (HSAs) or Health Savings Account (HSA) • Tax-advantaged savings and spending accounts and commuter benefits • Employee assistance programs • At least 120 hours paid time off (PTO). • 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, short- and long-term disability, and volunteer time off in accordance with company policy. • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan