Applied Scientist Resume
Objective : As an Applied Scientist, I am involved in procedures used in the planning, design, and maintenance of stormwater infrastructure, particularly green stormwater BMPs, and in Scoping green stormwater infrastructure maintenance projects.
Skills : Machine Learning, Data Analysis, Data Analysis, Data Visualization, Natural Language Processing
Description :
- Read and understand engineering plans US Environmental Protection Agency and Georgia Environmental Protection Division regulatory programs related to stormwater.
- Interacted with coworkers, management, other County Departments, consultants, contractors, and the public, sufficient to exchange or convey information and receive work direction.
- Used Geographic Information System (GIS) tools and software, scoping and planning coordination for a variety of stormwater projects.
- Worked alongside other applied scientists, data scientists, and economists to develop hierarchical forecasts for the housing market at various.
- Identified economic and demographic driving forces of housing market growth across regions and extracted features that predict housing market trends.
- Collaborated with cross-functional teams to integrate AI solutions into existing products.
- Conducted statistical analysis on large datasets to identify trends and inform business strategies.
Experience
2-5 Years
Level
Executive
Education
BEng CE
Applied Scientist Resume
Objective : As an Applied Scientist, expert in an analytics field, preferably with eCommerce and consumer goods experience, customized modern ML systems such as NLP, reinforcement learning, and neural networks. Experience with Bayesian modeling is highly desirable.
Skills : Data Analysis, Statistical modeling, Knowledge of deep learning frameworks
Description :
- Designed custom systems using frameworks such as PyTorch and PyMC.
- Used the Python data science/ML stack in a collaborative development environment using version control tools (git).
- Utilized statistical methods to assess model accuracy and reliability.
- Presented findings and recommendations to stakeholders through detailed reports and visualizations.
- Researched and applied state-of-the-art techniques in natural language processing.
- Participated in code reviews and contributed to best practices in software development.
- Participated in code reviews and contributed to best practices in software development.
Experience
2-5 Years
Level
Executive
Education
BEng CE
Applied Scientist Resume
Objective : As an Applied Scientist, created and maintained standards for writing clean, organized code to streamline workflow, and created and maintained documentation for learning and knowledge transfer.
Skills : Research Methodology, Software Development, Optimization Techniques, Cloud Computing
Description :
- Formulated hypotheses and used existing data to test.
- Found or constructed proxies and other means of evaluating the business when ideal data is not available.
- Provided critical thought leadership to enhance organizational capabilities through the application of data analytics.
- Partnered with business stakeholders to identify and execute opportunities for extension and enhancement of capabilities.
- Played an integral role in supporting a core capability for the company by leveraging large volumes of data, scientific methods, and analytics to drive performance improvement.
- Visited with impact globally across all Newell business units.
- Quickly accessed and analyzed data for insights that enable the teams to provide impactful improvements in business-critical areas like forecast accuracy, revenue management, consumer journey, and media measurement, which will drive the macro company objectives enabling growth, cash conversion, and productivity.
Experience
2-5 Years
Level
Junior
Education
MSc Stats
Applied Scientist Resume
Summary : As an Applied Scientist, I articulated and was compelled to describe ideas to both technical and non-technical audiences, and built IR, ML, or NLP systems in academia or industry.
Skills : Analytical Skills, Time Series Analysis, Research Methodology, Software Development
Description :
- Designed and implemented solutions with large language models.
- Wrote production quality code and contributed to well-managed software delivery.
- Collaborated with business partners to identify areas where advanced data science techniques can have an impact and deliver insights while improving the organization's capabilities.
- Applied advanced analytics knowledge to existing business problems to grow revenue or reduce cost.
- Applied analytical rigor and statistical methods to analyze large amounts of data across all channels.
- Applied new technologies and methods in data science, data engineering, and data visualization to improve the technical capabilities of the team.
- Developed and implemented diagnostic tools for use by business users to identify performance opportunities and root causes for action planning.
Experience
7-10 Years
Level
Consultant
Education
BEng CE
Applied Scientist Resume
Summary : As an Applied Scientist, led and participated in passive acoustic data collection surveys in the Gulf of Mexico, North Atlantic, and the Caribbean, wrote reports and presented findings in scientific settings including in peer-reviewed publications
Skills : Strong problem-solving abilities, Proficiency in hypothesis testing, Data-driven decision-making
Description :
- Hired specialists across a variety of AI research and engineering disciplines to drive the company’s digital transformation.
- Delivered innovative AI products that serve Thomson Reuters customers in new and exciting ways.
- Executed the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery.
- Worked on a collaborative cross-functional team, value diverse ideas, and partner effectively with colleagues across the globe.
- Tried new approaches and learned new technologies.
- Implemented innovative ideas to solve real-world challenges.
- Engaged in continuous learning to stay updated with the latest advancements in applied science.
Experience
7-10 Years
Level
Management
Education
BSc Physics
Applied Scientist Resume
Headline : As an Applied Scientist, I quantified absolute noise levels in long-term acoustic recordings and evaluated spatiotemporal variation in noise sources and levels, including the effects of noise-reduction technology implementation.
Skills : Research Skills, Project Management Skills, Model Evaluation, Feature Engineering, Data Mining
Description :
- Handled fieldwork logistics communicating with project team members and stakeholders, and writing reports.
- Led and participated in passive acoustic data collection surveys in the Gulf of Mexico, North Atlantic, and Caribbean.
- Wrote reports and presented findings in scientific settings including in peer-reviewed publications.
- Quantified absolute noise levels in long-term acoustic recordings and evaluated spatiotemporal variation in noise sources and levels, including effects of noise-reduction technology implementation.
- Handled fieldwork logistics communicating with project team members and stakeholders, and writing reports.
- Analyzed user feedback and behavior to refine product features and improve user experience.
- Utilized statistical software and programming languages such as Python and R for data analysis.
Experience
5-7 Years
Level
Executive
Education
MSc Stats
Applied Scientist Resume
Objective : As an Applied Scientist, worked on models that can support multilingual users, customized speech models, and created publications (patents, libraries, peer-reviewed academic papers).
Skills : Time management and organizational skills, Statistical Modeling, Data Analysis
Description :
- Presented at conferences or other events in the outside research/industry community as an invited speaker.
- Conducted research as part of a research program (in academic or industry settings).
- Developed and deployed live production systems, as part of a product team.
- Developed and deployed products or systems at multiple points in the product cycle from ideation to shipping.
- Presented at conferences such as Automatic Speech Recognition and Understanding (ASRU) International Conference on Acoustics Speech and Signal Processing (ICASSP), Interspeech, or other events research/industry community as an invited speaker.
- Developed and implemented signal-processing tools for the detection, classification, localization, and density estimation of marine mammal acoustic signals.
- Developed and implemented underwater acoustic propagation models to estimate marine mammal source levels, marine mammal detection ranges, and anthropogenic noise impacts on marine mammals, and evaluate the effect size of modeled parameters and associated uncertainty.
- Used machine learning and statistical techniques to analyze and understand intricate cardiac signals, aiding in diagnosis and treatment.
Experience
2-5 Years
Level
Executive
Education
BEng SE
Applied Scientist Resume
Summary : As an Applied Scientist, possessed a broad understanding of machine learning, deep learning, and statistical techniques, essential for developing advanced algorithms, expertise in areas such as time series analysis, self-supervised learning, signal processing, or graph signal processing, showcasing specialized skills applicable to the role.
Skills : Communication Skills, Strong presentation, Collaboration skills, Problem Solving, Technical Writing, Teamwork, Software Development
Description :
- Built models for business application experience.
- Expert in patents or publications at top-tier peer-reviewed conferences or journals.
- Collaborated with data engineers to ensure data quality and accessibility for analysis.
- Presented findings at industry conferences to share insights and foster collaboration.
- Developed prototypes for new algorithms and tested their effectiveness in real-world scenarios.
- Led workshops and training sessions to educate team members on data science methodologies.
- Evaluated and selected appropriate machine learning frameworks and tools for projects.
Experience
7-10 Years
Level
Consultant
Education
BSc CE
Applied Scientist Resume
Summary : As an Applied Scientist, collaborated with cross-functional teams, mentored junior team members, and helped drive the scientific roadmap of the area, led the development of core AI/ML models and algorithms that drive our products key use cases in the cybersecurity and observability domains.
Skills : Machine Learning Algorithms, Unsupervised Reinforcement Learning, Data Analysis and Statistical Modeling, Time Series Analysis, Computer Vision
Description :
- Collaborated closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services.
- Stayed up to date with the latest research and developments in the field of AI/ML, and ensured that these advancements were properly incorporated into our technology roadmap.
- Provided technical guidance and mentorship to team members to ensure the development of their skills.
- Participated in cross-functional discussions and strategic decisions related to AI research directions and product roadmaps.
- Trained and fined tuning LLMs.
- Researched and implemented state-of-the-art algorithms in computer vision.
- Developed data pipelines for real-time data processing, ensuring timely insights for business stakeholders.
Experience
7-10 Years
Level
Senior
Education
BEng CE
Applied Scientist Resume
Headline : As an Applied Scientist, conveyed complex concepts to a broad audience, worked in time series/spatial forecasting space, and explored and developed real-time applications and algorithms for cardiac signals, pushing the boundaries of innovation.
Skills : Research Methodology, Time Series Analysis, Computer Vision, Collaboration and Communication, Cloud Computing
Description :
- Translated research insights into practical solutions that address real-world challenges.
- Understood ML frameworks (TensorFlow, PyTorch) and programming languages commonly used in AI research.
- Articulated complex technical concepts to both technical and non-technical audiences.
- Innovated speech recognition, speech translation, or speech+LLM algorithms.
- Built speech recognition, speech translation, or speech+LLM models.
- Implemented A/B testing frameworks to evaluate the impact of changes on user engagement.
- Mentored junior data scientists and interns, providing guidance on best practices in data analysis and model development.
Experience
5-7 Years
Level
Executive
Education
BSc Math
