Senior AI Engineer

2 days ago

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Logo of Thermo Fisher Scientific

Thermo Fisher Scientific

Analytical Instruments β€’ Laboratory Supply Chain Programs and eCommerce β€’ Laboratory Equipment β€’ Lab Services β€’ Specialty Diagnostics

10,000+

Description

β€’ Executes advanced analytics modeling based on exploratory data analysis from complex and high-dimensional datasets β€’ Supports organization leadership through data-driven decision validation and support β€’ Effectively collaborates with cross-functional stakeholders to identify questions and business challenges β€’ Generates and tests hypotheses and analyzes and interprets the results β€’ Navigates large, complex datasets for data mining, profiling, and curation β€’ Designs, develops and programs methods, processes, and software programs to consolidate, cleanse, and analyze unstructured, diverse data sources β€’ Identifies meaningful insights from large data and metadata sources in support of continuous improvement efforts β€’ Effectively communicates and guides stakeholders through the machine learning process

Requirements

β€’ Bachelor's degree or equivalent and relevant formal academic / vocational qualification β€’ Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to 5+ years) β€’ Strong working knowledge of application of statistics, programming, data modeling, simulation, and advanced mathematics to business questions for data analysis β€’ 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 β€’ 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 β€’ Thorough knowledge of and exposure to cloud architectures across NoSQL, lambda functions, kafka, sagemaker, tensorflow, etc. β€’ 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 β€’ Solid executive presence with ability to communicate effectively and influence at all levels

Benefits

β€’ A choice of national medical and dental plans, and a national vision plan β€’ A wellness program, and valuable health incentive opportunities for company contributions to a Health Reimbursement Accounts (HSAs) or Health Savings Account (HSA) β€’ Tax-advantaged savings and spending accounts and commuter benefits β€’ Employee assistance programs β€’ 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 rime off in accordance with company policy. β€’ Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

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