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. The salary range estimated for this position is $60,000 – 74,000. This position will also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. Actual compensation will be confirmed in writing at the time of offer. We offer a comprehensive Total Rewards package that our US colleagues and their families can count on, which generally include:
- 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 rime off in accordance with company policy.
- Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
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.
statistics Analytical skills Data Engineering data-preprocessing snowflake-cloud-data-platform data-modeling deep-learning Machine Learning exploratory-data-analysis Software Developer Classification Algorithms GenAI Data Analyst mathematics Python bayesian-networks data-warehouse R model-validation data-wrangling simulation data-visualization cluster-analysis TensorFlow neural-network RDBMS PyTorch