Inclusively is partnering with an insurance technology company to hire a Senior Data Scientist. **Please note: this role is NOT an internal position with Inclusively but with the partner company.**

ABOUT INCLUSIVELY:

Inclusively is a digital tech platform that empowers job seekers with disabilities, caregivers, and veterans by using Success Enablers–accommodations and personalized workplace modifications that help all job seekers reach their full potential and excel. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD).

Create your profile, select Success Enablers, and connect to jobs from our partnered employers who are committed to creating diverse and inclusive teams. When registering, you must acknowledge that this platform is for people with disabilities, caregivers, and veterans. However, Inclusively does not require candidates to disclose their specific disability to join the platform.

What You’ll Do

• Develop and implement robust AI solutions
• Run projects to drive business growth
• Conduct research to determine viable paths for AI product services, easily factoring in cost analysis and accuracy results.
• Participate in the architectural design, hands-on development, and collaborative deployment of cloud-native AI solutions that are efficient and scalable.
• Lead initiatives within the team and across teams to identify, prioritize, and address critical needs, challenges, and opportunities
• Conduct model research and options analysis to prepare potential solutions for evaluation and recommendation
• Make recommendations while balancing tradeoffs between short-term and long-term goals
• Provide comprehensive feedback in design reviews, code reviews, and data analysis
• Contribute to the end-to-end AI processes from data acquisition, data processing and validation, model training or algorithm design, robust experience in testing, to familiarity with deployment
• Ensure the quality and accuracy of models by applying data and AI best practices, conducting thorough testing, and work collaboratively with team for maintenance of AI services

What You’ll Need to Succeed

Your experience should include some or all of the following:

• 5+ years of experience in data science / mathematics & stats / ML / AI engineering roles of increasing complexity
• Experience in developing AI models using Python / Golang or other related programming languages
• Experience optimizing Natural Language Processing or Computer Vision models for specialized tasks
• Experience with deep learning frameworks such as Tensorflow, Keras, or PyTorch
• Experience with vector databases such as ChromaDB, ElasticSearch
• Experience building a RAG model
• Experience with Gen AI services in a native cloud service
• Demonstrated experience supporting all phases of an AI model’s lifecycle
• Demonstrated experience in cloud-native technologies, including cloud computing, distributed computing, data warehousing, and big data processing
• Proven track record of effectively collaborating with cross-functional teams to deliver high-quality AI solutions
• Excellent communication skills, including the ability to communicate complex technical concepts to both technical and non-technical stakeholders
• Demonstrated ability to work independently, with minimal guidance, and balance multiple projects simultaneously
• Strong problem-solving skills and ability to think creatively to derive effective solutions to complex challenges
• Degree in computer science, math, statistics, data science, engineering, or a related field
• We proudly support and encourage people with military experience, as well as military spouses, to apply

What You’ll Gain

Benefits from Day One

• Health insurance plans, dental, and vision
• Wellness incentives
• 401(k) and/or RRSP retirement savings plans with employer match

Work-Life Balance

• Competitive paid vacation time and a free day for your birthday
• Personal/sick time
• Paid holidays
• Flex Time
• Paid parental leave (U.S. candidates)
• Volunteer time off