Job Details

Updated: July 26, 2024 - The Applied Scientist in this role spearheads the progression of intelligent experience projects from conceptualization to global implementation, ensuring the integration of cutting-edge technologies and optimal performance in real-time applications. This professional constructs and refines deep learning models tailored for Office environments, emphasizing the importance of user feedback for continuous improvement and rigorous evaluation to enhance AI-driven features. Collaboration with international experts is key to addressing complex challenges and advancing machine learning solutions through meticulous data analysis and experimental approaches.

Tips for Applied Scientist Skills and Responsibilities on a Resume

1. Applied Scientist, Gilead Sciences, Foster City, CA

Job Summary:

• Take ownership of special reporting requests for our customers and internal teams
• Perform exploratory data analysis to gain deeper understanding of the data and discover new patterns and insights for further analysis or to support stakeholder decision-making
• Develop and test statistical and machine learning models
• Write production-quality code to build models and deploy them into production
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Collaborate with product management and engineering teams to deliver projects on time and enhance features delivered to customers
• Identify and evaluate relevant external data sources
• Follow new research and technologies in the field of data science and apply as appropriate
• Demonstrate respect, teamwork and a persistent focus on customer needs both internally and externally
• Building production real-time Computer Vision and AI systems to solve hard problems in a wide range of uncontrolled environments.
• Scene understanding, object detection and other fun aspects of computer vision and AI.

Skills on Resume:

• Reporting Management (Hard Skills)
• Data Exploration and Insight Discovery (Hard Skills)
• Statistical and Machine Learning Modeling (Hard Skills)
• Production Code Development (Hard Skills)
• Model Performance Monitoring (Hard Skills)
• Collaborative Project Delivery (Soft Skills)
• External Data Evaluation (Hard Skills)

2. Applied Scientist, Airbnb, San Francisco, CA

Job Summary:

• Own the whole development cycle end to end, from exploring gaps in model performance to model production.
• Reduce abstract business requirements into manageable scientific problems
• Proficient in analyzing data and building models with common tools like Python, R, Scala, SQL.
• Leveraging commonly used ML/optimization packages (e.g. sklearn, scipy) as well as deep learning frameworks to solve critical business problems.
• Derive insights and help steer the development of a product
• Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about systems, and enabling them to interact with our data products.
• Present scientific insights in plain words
• Drive fast and iterative improvements to established models.
• Actively reduce uncertainty by forming/validating hypotheses in problem solving
• Fostering an inclusive and diverse team environment

Skills on Resume:

• Development Cycle Management (Hard Skills)
• Data Analysis Proficiency (Hard Skills)
• Insights Generation (Hard Skills)
• Effective Communication (Soft Skills)
• Clear Presentation (Soft Skills)
• Iterative Improvement (Hard Skills)

Job Summary:

• Contribute to the development of Automated reports and Visualizations.
• Create statistical models and visualizations that integrate many types of data to create comprehensive models.
• Models will then be applied to determine the stability of Product and Analytical Methods.
• Experience in data analytics, Programming and creation of Visualizations.
• Automated Statistical Data Reports utilizing R Programming Language
• Automated eReports utilizing Pipeline Pilot programming language
• Support in Development and testing of UAT for eReport.
• Work closely with Engineering, Product and customers to scientifically frame the business problems and come up with the underlying mathematical models.
• Perform exploratory data analysis to gain deeper understanding of the data.
• Develop and test statistical and machine learning models, Visualizations utilizing Spotfire
• Write production-quality code to build models and work with Software Engineering teams to deploy them in production.

Skills on Resume:

• Automated Reporting & Visualization (Hard Skills)
• Statistical Modeling & Data Integration (Hard Skills)
• Stability Assessment (Hard Skills)
• R Programming (Hard Skills)
• UAT Support (Hard Skills)
• Problem Framing & Mathematical Modeling (Soft Skills)

4. Applied Scientist, Moderna Therapeutics, Cambridge, MA

Job Summary:

• Drive intelligent experiences projects through entire lifecycle from idea creation through implementation, experimentation and finally to worldwide availability
• Build and deploy deep learning models for Office scenarios
• Work with research teams on adoption of the latest technologies
• Ensure performance and latency of models is appropriate for interactive real-time scenarios
• Design and build feedback loops for retraining models from production
• Measure the impact of models and work with product teams on appropriate designs of AI-powered experiences
• Follow documentation and coding best practices
• Build models, algorithms, and mechanisms in large scale production systems using A/B experimentation and using state-of-the-art research techniques.
• Deeply analyze existing userand customer data to understand gaps and opportunities to improve our ML solutions.
• Run A/Bexperiments, andunderstand how to deploy robust ML models to production.
• Collaborate with a global team of world-class researchers, scientists and engineers to solve very challenging problems.

Skills on Resume:

• Project Management (Hard Skills)
• Deep Learning Model Building and Deployment (Hard Skills)
• Performance Optimization (Hard Skills)
• Feedback Loop Design (Hard Skills)
• Impact Measurement (Soft Skills)
• Documentation and Coding Best Practices (Hard Skills)

5. Applied Data Scientist, Genentech, South San Francisco, CA

Job Summary:

• Bring strong scientific experience in researching and building machine learning and deep learning based solutions to help our millions of customers in inspiration journey.
• Tackle challenging state-of-the-art fashion problems, such as outfit generation and recommendation.
• Contribute to our scientific efforts with rigorous peer reviews and through publications in international conferences.
• Actively collaborate with other teams and share knowledge and expertise within our talented applied science community.
• Work closely with other applied scientists and engineers to bring our state of the art solutions to the customers and to discover and identify new opportunities.
• Perform RandD in Machine Learning for Recommendation Systems and drive full life-cycle Machine Learning projects.
• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy models into production.
• Run A/B experiments, gather data, and perform statistical tests.
• Establish scalable, efficient, automated processes for large-scale data mining, machine-learning model development, model validation and serving.
• Work closely with software engineers and product managers to assist in productizing ML algorithms.

Skills on Resume:

• Strong Scientific Background (Hard Skills)
• Expertise in Machine Learning and Deep Learning (Hard Skills)
• Publication Record (Hard Skills)
• Collaboration and Communication (Soft Skills)
• Research and Development (R&D) Skills (Hard Skills)
• Model Development and Optimization (Hard Skills)
• Experimental Design and Analysis (Hard Skills)
• Scalable and Efficient Processes (Hard Skills)

6. Applied Scientist, Regeneron Pharmaceuticals, Tarrytown, NY

Job Summary:

• Collaborate closely with engineers, applied scientists and product managers
• Develop computer vision and machine learning algorithms and software
• Take responsibility for technical problem solving, including creatively meeting product objectives and developing best practices.
• Interact with teammates in variety of roles to accomplish goals
• Identify and initiate investigations of new technologies, prototype and test solutions for product features
• Design and validate designs that deliver an exceptional user experience.
• Create a winning culture built on collaboration and shared accomplishments.
• Explore problems, formulate hypotheses, design experiments, prototype and validate solutions balancing scientific rigor and business impact.
• Accelerate the pace of innovation by building and continuously improving cutting-edge models at scale.
• Encourage creative approaches to problems and help achieve the team's objectives through reviews, mentoring and coaching.
• Create a strong customer experience and a positive business impact.

Skills on Resume:

• Collaboration and Teamwork (Soft Skills)
• Computer Vision & ML (Hard Skills)
• Problem-Solving Skills (Soft Skills)
• Communication and Interpersonal Skills (Soft Skills)
• Innovation and Adaptability (Soft Skills)
• User Experience Design (Hard Skills)
• Leadership and Team Building (Soft Skills)