11 дней назад
Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI) (Machine Learning/Education): Building end-to-end machine learning solutions that personalize onsite education experiences, create online journeys, and optimize business processes with an accent on model development, deployment, monitoring, and cross-functional delivery. Focus on formulating complex data science problems, translating stakeholder needs into production solutions, and communicating technical results to broad audiences.
Location: San Juan, Puerto Rico; hybrid schedule with in-office work at the Santurce office Tuesday through Thursday and fully remote work on Mondays and Fridays.
Company
is a portfolio of high-growth companies delivering digital experiences and growth solutions, including education services through RV Education.
What you will do
- Execute multidisciplinary data science solutions end to end with limited guidance.
- Develop machine learning systems that personalize onsite experiences, create online journeys, and optimize processes.
- Collaborate with data scientists, product managers, engineers, business stakeholders, creative teams, and engineering groups.
- Take ideas from discovery through production and communicate project status, timelines, and technical results.
- Participate in the broader data science community and contribute to project design and execution.
- Research new data science, machine learning, and AI techniques and assess their applicability to projects.
Requirements
- 1+ year of professional data science experience with an MS or PhD in a relevant STEM field, or 3–5 years of professional data science or machine learning experience.
- Experience with end-to-end model development, deployment, and monitoring workflows.
- Proficiency in Python and experience with Databricks.
- Ability to understand business context, define value propositions, and solve complex data science problems with limited guidance.
- Strong communication, execution, project ownership, and stakeholder collaboration skills.
- Experience scoping data science projects and developing specialization through research, literature reviews, and communicating findings.
Culture & Benefits
- Collaborative environment spanning technical, business, creative, and engineering teams.
- Inclusive workplace focused on helping team members feel comfortable and empowered.
- Matching 401(k) plan, subject to eligibility.
- Medical, dental, and vision coverage, subject to eligibility.
- Flexible PTO, with 20 days accrued annually for full-time employees and an increase to 25 days after five years.
- Casual dress code.
Hiring process
- Expect live conversations with teammates before an offer is made.
- Recruiting communication is conducted through official or portfolio-company email addresses.
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