Thermo Fisher Scientific · 12 hours ago
Senior AI Engineer
NC
Full-time
Remote
Mid, Senior Level
$90K/yr - $130K/yr
5+ years exp
Maximize your interview chancesBioinformaticsBiotechnology
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Responsibilities
Effectively collaborates with cross-functional stakeholders to identify questions and business challenges and determine plans of action in order to effectively define, design, and develop machine learning models and algorithms to derive insights into each problem.
Generates and tests hypotheses and analyzes and interprets the results.
Navigates large, complex datasets for data mining, profiling, and curation, and natural language processing (NLP), as well as identifies related data that is fundamental to successfully applying predictive and machine learning techniques.
Designs, develops and programs methods, processes, and software programs to consolidate, cleanse, and analyze unstructured, diverse data sources to recognize patterns, identify opportunities, and generate actionable business insights and solutions.
Designs, develops, and evaluates predictive models and algorithms that lead to optimal value extraction from the data in order to support business process improvements and solve business challenges.
Identifies meaningful insights from large data and metadata sources in support of continuous improvement efforts and business process upgrades through exploratory data analysis.
Effectively communicates and guides stakeholders through the machine learning process; Interprets and communicates findings and solutions from analysis and experiments to a broad audience, including business leadership.
Qualification
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Required
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
Company
Thermo Fisher Scientific
Thermo Fisher Scientific is a biotechnology and laboratory equipment company that provides a wide range of scientific products and services.
10001+ employees
H1B Sponsorship
Thermo Fisher Scientific has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (173)
2022 (314)
2021 (349)
2020 (251)
Funding
Current Stage
Public CompanyTotal Funding
$11.05BKey Investors
National Grid
2023-08-07Post Ipo Debt· $2.95B
2023-03-27Grant· $0.5M
2022-11-15Post Ipo Debt· $1.29B
Leadership Team
Daniella Cramp
Senior Vice President and President
Frederick Lowery
Senior Vice President Thermo Fisher and President Customer Channels
Recent News
Company data provided by crunchbase
