Work Schedule

Other

Environmental Conditions

Office

Job Description

This is a 100% remote position. Must be based in the United States.

Summarized Purpose:

Drives analytics modeling based on exploratory data analysis through application of statistics, machine

learning, programming, data modeling, simulation, and/or mathematics to recognize patterns, identify

opportunities, and generate valuable predictive business insights in support of innovative business

decisions. Supports organization leadership through data-driven decision validation and support.

Job Complexity

Works on problems of moderate scope where analysis of situations or data requires

a review of a variety of factors.

Job Knowledge

Developing professional expertise, applies company policies and procedures to

resolve a variety of issues.

Supervision Received

Normally receives general instructions on routine work, detailed instructions on new

projects or assignments. Exercises judgment within defined procedures and

practices to determine appropriate action.

Business Relationships

Contacts are primarily internal to the company with infrequent external customer /

vendor contact on routine matters. Builds productive internal / external working

relationships.

Education and Experience:

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 0-2 years).

In some cases, an equivalency, consisting of a combination of appropriate education, training and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role.

Knowledge, Skills, and Abilities:

Strong working knowledge and practical experience in the application of statistics, programming, data modeling, simulation, and advanced mathematics to business questions for data analysis, with a specific focus on Generative AI.

Proficiency in exploratory data analysis techniques involving structured and unstructured data, as well as expertise in machine learning algorithms such as decision trees, neural networks, clustering, classification, Bayesian networks, and generative models.

Experience in model validation techniques, data visualization techniques, and the ability to apply them effectively in the context of Generative AI.

Proficient in using modern technical tools and frameworks relevant to Generative AI, such as Snowflake, Python, R, TensorFlow, PyTorch, or other deep learning libraries.

Strong skills in data engineering, including data pipelining, data wrangling, and data preprocessing techniques, specifically tailored to support Generative AI workflows.

Proficiency in data visualization and modeling tools, with a focus on techniques and frameworks used in Generative AI.

In-depth understanding of mathematical approaches to handle imperfect data and techniques to address challenges specific to Generative AI.

Familiarity with modern data management approaches, including relational databases, data schemas, object stores, column stores, triple stores, graph stores, and/or document stores, with an emphasis on handling data relevant to Generative AI.

Proven ability to deliver accurate work products in a cross-functional matrix environment, spanning data warehousing, data modeling, data analytics, and Generative AI, while effectively managing multiple competing priorities.

Strong analytical skills, showed strength in developing detailed analysis, models, plan calculations, and tools, with a specific focus on Generative AI applications.

Management Role:

No management responsibility

Working Conditions and Environment:

Work is performed in an office environment with exposure to electrical office equipment.

Occasional drives to site locations with occasional travel both domestic and international.

Physical Requirements:

Frequently stationary for 6-8 hours per day.

Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements

of the fingers, hands, and wrists.

Frequent mobility required.

Occasional crouching, stooping, bending and twisting of upper body and neck.

Light to moderate lifting and carrying (or otherwise moves) objects including luggage and laptop

computer with a maximum lift of 15-20 lbs.

Ability to access and use a variety of computer software developed both in-house and off-the-shelf.

Ability to communicate information and ideas so others will understand; with the ability to listen to

and understand information and ideas presented through spoken words and sentences.

Frequently interacts with others to acquire or relate information to diverse groups.

Works independently with little guidance or reliance on oral or written instructions and plans work

schedules to meet goals. Requires multiple periods of driven concentration.

Performs a wide range of variable tasks as dictated by variable demands and changing conditions

with little predictability as to the occurrence. Ability to perform under stress. Ability to multitask.

Regular and consistent attendance.

Percent Billable:

0% - 20%

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.