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Form of workSummary:
Design Interactive is seeking an Senior Data Scientist who can help formulate and execute on DI’s strategic positioning in ML and AI, specifically with regards to decision support systems and machine perception. You’ll build and deploy statistical and machine learning models to solve a variety of research and applied science problems, conceptualize research approaches in these domains, and support the written and verbal communication of these ideas in the form of reports, presentations and grant proposals. The ideal candidate will have the ability to work with a wide variety of unstructured data throughout a research process from conceptualization to deployment, be a motivated, quick learner who has a track record of conceptualizing and employing creative solutions to novel research problems, and is a strong communicator and analytical thinker.
You’ll join a fast-paced and highly flexible team working on a wide variety of research, development, and applied science problems across several disciplines, including physiology/neuroscience, cognition, human performance, adaptive training, computer vision, decision support, and extended reality (XR). We’re excited to see what passion and expertise you bring to the team to help shape the direction these projects go.
What you’ll need:
Education: Masters degree (Ph.D. preferred) in a technical field, such as Machine Learning, Computer Science, Mathematics, Statistics, Physics, or Computational Neuroscience / Computational Biology
Experience: 8+ years’ applicable experience
Basic Qualifications
- A history of successful grant proposals and/or peer-reviewed publications
- Proven ability to lead a data science effort with strong management, team building, and communication skills
- Processing, cleaning, organizing, and exploring data and using it to build and validate models using Python and the Python data science stack
- Functional and object-oriented programming paradigms in Python.
- Software development tools relevant for data science development (e.g., version control, virtual environments, debugging tools)
- Strong statistical foundation, including topics such as regression, estimators, confidence intervals, hypothesis testing, and Bayesian statistics
- Understanding of theory and applied research experience using advanced AI/ML approaches
- Data visualization skills
- Oral communication skills, including the ability to present and interpret technical findings for non-technical audiences both externally and internally
- Written communication skills, including the ability to succinctly describe technical findings for the purposes of generating reports, proposals, and other documents
Preferred Qualifications
- Experience with other programming languages (especially C#, Java, R, and shell scripting)
- Experience with database and process management (especially through Azure) and distributed processing tools
- Experience deploying models to servers or devices (e.g. smartphones) and relevant deployment tools (e.g. Docker)
- Experience working with and querying databases and web services (using e.g. SQL, APIs, RabbitMQ)
- Experience building or supporting dashboards (e.g. PowerBI, Tableau)
- Domain experience in human performance, human-computer interaction, or VR/AR/XR technology.
- Experience in project management
Salary for the position is commensurate with experience
Travel:
Position requires a moderate amount of local, overnight, and extended travel.
Physical Functions/Environment:
Physical requirements involve performing general office activities.
