
Sr Data Scientist
- Massachusetts
- $80,000-120,000 per year
- Permanent
- Full-time
- Design, build, and scale advanced analytics models for behavioral insights, pricing optimization, retention, and other enterprise use cases.
- Own the development of machine learning, natural language processing (NLP), and generative AI solutions aligned with business priorities.
- Translate complex business challenges into data science approaches that are scalable, explainable, and actionable.
- Partner with business leaders to co-create analytics roadmaps, define success metrics, and drive adoption of data-driven solutions.
- Collaborate with analytics and technology teams to ensure data readiness and seamless model deployment.
- Mentor junior data scientists and promote standard methodologies in ethical AI, model development, and reproducibility.
- Communicate insights clearly and persuasively to both technical and non-technical audiences, including senior leadership.
- 7+ years of hands-on experience in advanced analytics, machine learning, and AI with a track record of delivering business impact.
- Advanced degree (Ph.D. preferred) in Data Science, Statistics, Applied Mathematics, Economics, Operations Research, or a related field.
- Deep expertise in behavioral modeling, discrete choice modeling, clustering, forecasting, and optimization.
- Proficiency in Python or R, with experience using ML/AI libraries such as TensorFlow, PyTorch, or Hugging Face.
- Demonstrated success developing and deploying generative AI, NLP models, or recommendation systems.
- Strong ability to engage with partners, define use cases, and scale solutions from proof-of-concept to production.
- Excellent communication skills with the ability to tailor insights to diverse audiences.
- A proactive approach with a strong sense of ownership, accountability, and a bias for action.
- Comfort working in ambiguous environments and leading multiple projects with varying timelines.
- Passion for collaboration and a desire to elevate analytics maturity across the organization.
- Experience in education technology is a plus, but not required.
- Be a key player in crafting enterprise-wide analytics strategy and innovation.
- Work in a collaborative, mission-driven environment that values curiosity, creativity, and continuous learning.
- Make a measurable impact on how we serve learners and educators around the globe!