Analytical Instruments β’ Laboratory Supply Chain Programs and eCommerce β’ Laboratory Equipment β’ Lab Services β’ Specialty Diagnostics
10,000+
2 days ago
Analytical Instruments β’ Laboratory Supply Chain Programs and eCommerce β’ Laboratory Equipment β’ Lab Services β’ Specialty Diagnostics
10,000+
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
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
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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