Sr Data Scientist - Richmond, United States - myGwork - LGBTQ+ professionals & allies
Description
This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community.Job Description
At Thermo Fisher Scientific, you'll discover meaningful work that makes a positive impact on a global scale.
Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner and safer.
We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies.
With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services.
Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on - now and in the future.
Location/Division Specific Information:
The Sr Data Scientist - AI/ML is a remote based position (East Coast U.S. preferred) and will support the Analytical Services Division (ASD) Laboratories.
Discover Impactful Work
In this role, we are excited for you to build artificial intelligence (AI) and machine learning (ML) models that will be used to deploy projects that will improve the efficiency, productivity, and quality of laboratory processes.
You will collaborate with cross-functional teams to define research objectives, design experiments, and collect invaluable data.
We need your help visualizing large datasets to convey sophisticated findings and recommendations to collaborators, and you will strive to stay up-to-date with the latest advancements in AI/ML, and integrate them into our work.
A Day In The Life
Lead innovations that support Materials Science that use Large Language Models, Artificial Intelligence (AI), Machine Learning (ML, Computer Vision, and Deep Learning.
Effectively collaborates with cross-functional partners to identify questions and business challenges and decides plans of action to define, design, and develop ML 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 ML techniques.
Designs, develops and programs methods, processes, and AI/ML 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 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 leadershipKeys To Success
Education
Bachelor's degree in data science, computer science or related field, or equivalent and relevant formal academic / vocational qualification
Experience
Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to 5+ 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 AbilitiesExperience working with large-scale datasets and distributed computing frameworks.
Skilled at NLP, fluency with machine learning libraries such as scikit learn (sklearn], pytorch, tensorflow
Familiarity with cloud computing platforms, such as Azure or Databricks and other applications such as Power Apps, PowerBI, Power Automate
Programming experience with Python, R, or javascript
Expertise in data preprocessing techniques, feature engineering, and data augmentation.
Validated understanding of statistical methodologies and their applications in data analysis and modeling.
Solid understanding of application of statistics, programming, data modeling, simulation, and advanced mathematics to business questions for data analysis
Demonstrated skills involving structured and unstructured data, machine learning, model validation techniques, and data visualization techniques
Proficiency with the following data science approaches: data engineering, pipelining and wrangling tools, data visualization and modeling tools, and mathematical approaches to imperfect data
Extensive knowledge of data management approaches such as relational databases, data schemas, object stores, column stores, triple stores, graph stores, and/or document stores
Consistent record of delivering work products in a cross-functional matrix environment spanning data warehousing, data modeling, and data analytics while leading multiple priorities
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
Work Environment
Thermo Fisher Scientific values the health and wellbeing of our employees. We support and encourage individuals to create a healthy and balanced environment where they can thrive.
Below is listed the working environment/requirements for this role:
Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.
Ability to use and learn standard office equipment and technology with proficiency.
Able to perform successfully while prioritizing and handling multiple projects or activities.
Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us.
As one team of 100,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need.
#StartYourStory with PPD, part of Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.Apply today
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.
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