Inclusively is partnering with a multinational professional services network to hire a 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.
Specifically, you will be expected to:
- Develop, test, and deploy machine learning/AI models
- Collaborate daily with Data Science Managers and Senior Data Scientists to receive guidance and feedback on your work to develop your skills and ensure alignment with workstream objectives
- Be a contributor to the planning and direction of a project and effectively prioritize your tasks and objectives
- Contribute to internal discussions on emerging machine learning methodologies
- Communicate complex concepts clearly and effectively through excellent written and verbal communication skills, ensuring alignment among team members and stakeholders
Required:
- Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)
- 2+ years of relevant experience
- Experience using Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.)
- Coursework related to machine learning, deep learning, and programming
- At least an introductory understanding of LLMs and prompt engineering
- Hands-on application experience using common machine learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain
- Demonstrated ability to write high-quality code
- Demonstrated ability to develop machine learning models
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
- You should expect to co-locate with team members or other colleagues in office, at a client site and/or virtually, based on specific team and business expectations.
- Ability to travel up to 10%, on average, based on the type of work you perform and the clients served
- Limited immigration sponsorship may be available
Preferred:
- 3+ years of relevant experience
- Master’s degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)
- Relevant work experience (internships, school jobs, etc.)
- Familiarity with the Microsoft Azure cloud-based ecosystem, including Azure DevOps
- Familiarity with machine learning model development life cycles
- Experience with version control practices and tools (Git, etc.)
- Public AI-related projects you have developed available on GitHub
Salary: $76,600 - $157,200
