обновлено 10 дней назад
Data Scientist Lead (Machine Learning)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist Lead (Machine Learning): Leading data science teams and developing production machine learning systems for demand planning, forecasting, recommendation, visual recognition, and generative AI with an accent on Python engineering, statistical modeling, and scalable deployment. Focus on architecting reliable ML solutions, translating complex business problems into data science frameworks, mentoring junior scientists, and communicating quantitative insights to stakeholders.
Location: Argentina; remote within Latin America
Company
is a remote startup developing Big Data, Machine Learning, Data Engineering, and custom AI systems for clients across industries.
What you will do
- Lead and mentor a team of data scientists, overseeing project execution and professional development.
- Architect and implement clean, maintainable Python code using software development best practices and Git.
- Deploy and monitor machine learning projects in production, ensuring reliability, scalability, and performance.
- Translate business challenges into data science frameworks and project plans using advanced statistical and machine learning methods.
- Present quantitative findings and the value of data science solutions to non-technical stakeholders and senior leadership.
- Identify data-driven opportunities and foster parallel, collaborative delivery for clients.
Requirements
- High proficiency in Python and a strong focus on clean, efficient, maintainable code.
- Practical knowledge of software development principles, collaborative coding, and Git-based version control.
- Strong foundations in mathematics, statistics, and machine learning theory, including the ability to implement techniques from academic literature.
- Creative and analytical problem-solving skills with the ability to propose innovative solutions.
- Excellent communication and presentation skills for explaining complex quantitative findings to diverse audiences.
- Passion for leadership, mentoring, and developing junior data science talent.
Nice to have
- Experience in data science with a track record of leading projects or mentoring team members.
- Experience with cloud-based data platforms, particularly Databricks.
- Client-facing or consulting experience.
- A portfolio of data science projects or contributions to open-source libraries.
Culture & Benefits
- Remote-first work from anywhere within the stated Latin America location scope.
- Coverage for AWS, DBT, Google Cloud, Azure, and Databricks certifications.
- In-company English lessons.
- Birthday day off, an additional vacation week, and monthly benefits marketplace credits.
- Referral bonuses, annual team trips, and monthly childcare reimbursement.
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