Main Objective:

Responsible for supporting full life cycle development of machine learning models, which includes problem analysis, data collection, data exploration and preparation, model design, testing and validation, model maintenance.

Essential Duties and Responsibilities:

• Collaborates with data engineers and domain experts to profile and understand the quality of data sources and propose data clean up methods.
• Applies Statistical Analysis and Machine Learning (ML) techniques to profile and organize data sources and understand their quality.
• Collaborates with business leaders, domain experts and ML engineers to design ML solutions and their acceptance criteria.
• Independently designs and conducts numerical experiments to prove principles and concepts behind ML solutions.
• Collaborates with domain experts and ML Engineers to understand how best to deliver a ML solution.
• Collaborates with external partners to integrate Analytics and ML tools into clinical solutions.
• Communicates with business leaders, domain experts and ML engineers to provide actionable insights from the data sources.
• Participates in the review of design model verification, deployment, and monitoring procedures.
• Participates in the review of software product complaints and performs root cause failure analysis.
• Identifies and pursues novel technology to support future strategic opportunities.
• Supports Quality System Audits conducted by external agencies, such as FDA, Notified Body and/or Regulatory Agency audits.
• Travel up to 10-15% domestically and internationally.

Skills:

• Ability to lead complex, cross functional teams required.
• Ability to contribute to strategic discussions that address both business and technical risks required.
• Experience in scripting languages to conduct data manipulation, statistical analysis, and ML modeling.
• Technical knowledge in ML methods, their design, and implementation trade-offs.
• Strong technical communication skills required to communicate complex technical concepts.
• Knowledge of Software agile (SDLC) practices.

Education/ Experience:

• Bachelor’s degree in a related field required in Statistics, Applied Math, Engineering or Physics.
• Master Degree or 5 years of relevant work experience required.

Job Type: Full-time

Pay: $90,000.00 - $160,000.00 per year

Benefits:

• Dental insurance
• Health insurance
• Vision insurance

Schedule:

• 8 hour shift
• Day shift
• Monday to Friday

Supplemental pay types:

• Bonus pay

Work Location: Remote

Please Note :
apexdining.ca is the go-to platform for job seekers looking for the best job postings from around the web. With a focus on quality, the platform guarantees that all job postings are from reliable sources and are up-to-date. It also offers a variety of tools to help users find the perfect job for them, such as searching by location and filtering by industry. Furthermore, apexdining.ca provides helpful resources like resume tips and career advice to give job seekers an edge in their search. With its commitment to quality and user-friendliness, Site.com is the ideal place to find your next job.