Applied Scientist

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.

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)

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…