151 applicants

This job has closed.

Company

Thermo Fisher Scientific · 3 hours ago

Senior AI Engineer

Full-time

Remote

Senior Level

$90K/yr - $130K/yr

5+ years exp

Maximize your interview chances

BioinformaticsBiotechnology

H1B Sponsor Likely

Insider Connection @Thermo Fisher Scientific

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

StatisticsMachine LearningData ModelingPythonData VisualizationAWS EMRSnowflakeRSparkNatural Language Processing (NLP)Data EngineeringData ManagementRelational DatabasesData Warehousing

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

Glassdoor

3.6

Thermo Fisher Scientific is a biotechnology and laboratory equipment company that provides a wide range of scientific products and services.

Founded in 1956

Waltham, Massachusetts, USA

10,001+ employees

https://www.thermofisher.com

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)