Senior Data Science Engineer

Posted 2 Days Ago
Hiring Remotely in Bethesda, MD
Remote
Senior level
Healthtech
The Role
The Senior Data Science Engineer will lead the end-to-end development and deployment of machine learning models, ensuring their performance through testing and optimization. Responsibilities include data extraction and cleaning, model tuning, creating prototypes, and collaborating with cross-functional teams to support data infrastructure needs.
Summary Generated by Built In

Company Description

RightEye™ uses the power of science, data, and artificial intelligence to illuminate and understand the health and physiological status of people while using eye tracking technology.

Job Description

RightEye™ is seeking a skilled and experienced senior data science engineer familiar with cloud technologies to join our data science team. This position will report directly to our Chief Product Officer and be responsible for end-to-end development of production ready machine learning models capable of being deployed to a variety of edge computing devices.

Qualifications

Responsibilities

  • Experience in data extraction, cleaning, EDA, model decision making, model development, tuning and productionizing. Experience in each of these areas of the Data Analytics Life Cycle
  • Demonstrated experience in productionizing ML models
  • Ability to generalize and validate models
  • Creating algorithm prototypes based on project specifications
  • Experience in developing projects from concept to production
  • Running tests to assess model performance
  • Implementing changes to algorithms to improve model performance
  • Troubleshooting and addressing problems with deployed ML models to improve user experience
  • Documenting all steps in the development process
  • Remaining up to date on the latest innovations in machine learning
  • Assembling large, complex sets of data that meet non-functional and functional business requirements
  • Identifying, designing, and implementing internal process improvements, optimizing data delivery, and automating manual processes
  • Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
  • Building analytical tools to utilize the data pipeline, providing actionable insights
  • Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues
  • Working with stakeholders including the Executive, Product, Data, Engineering and Design teams to support their data infrastructure needs while assisting with data-related technical issues

Skill set:

  • 5+ years in a Data Science and Engineering role
  • Experienced Python developer
  • Experience with using machine learning frameworks such as pycharm, pytorch, AWS SageMaker
  • Experience with SDLC for machine learning (building, testing, and production deployments)
  • Demonstrated ability to build resilient, scalable and secure code
  • AWS
  • SQL and NoSQL databases
  • Developing data pipelines from scratch

Additional Information

Personal skills:

  • Creative and think outside the box
  • Flexible
  • Diligent
  • Strong communication skills


Nice to have:

  • Medical or Health and Wellness industry data
  • Small company experience

Top Skills

Python
The Company
Bethesda, MD
22 Employees
On-site Workplace
Year Founded: 2012

What We Do

Life is not static -- 20/20 vision is not enough. Life’s most essential activities require dynamic vision skills such as vision tracking, eye teaming, and more.

RightEye leverages proven scientific research and a patented cloud-based software platform to uncover, illustrate, and improve eye movement impairments. RightEye’s eye-tracking platform aids in the early and accurate detection of issues such as concussion, traumatic brain injury, autism, reading, general eye health, sports vision, and Parkinson’s disease, and other movement disorders.

By making health and vision care more accessible, affordable, and effective, RightEye can better outcomes, lower costs and improve health.

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