Senior Data Scientist and Technical Lead
hace 1 mes
We are seeking a highly skilled Senior Data Scientist and Technical Lead to join our team at NEORIS. With 20 years of experience as a Digital Partner to leading companies worldwide, we have a strong presence in 11 countries with over 4,000 professionals.
This role is ideal for an experienced data scientist who has a proven track record of leading teams and developing high-value solutions for clients. The ideal candidate will have a strong background in Python, SQL, and web services (Azure, AWS, GCP) and hands-on experience with statistical and machine learning models.
The successful candidate will be responsible for leading the development of ML/Data projects, participating in defining project goals and deliverables with clients and stakeholders, and ensuring that all projects are delivered on time and within budget.
We offer a competitive salary of $120,000 per year, plus attractive benefits and opportunities for professional growth and development.
In this role, you will work closely with our cross-functional teams to develop and implement data-driven solutions that drive business value for our clients. You will also be responsible for mentoring junior team members and helping to build a culture of innovation and continuous learning.
Requirements:
- 6+ years of experience in Python
- 3+ years of experience in SQL
- 2+ years of experience in web services (Azure, AWS, GCP)
- 5+ years of hands-on experience with various statistical and machine learning models throughout the entire process: training, monitoring, and tuning
- 1+ year of experience leading teams for ML/Data projects development
- 1+ year of experience participating in defining goals, deliverables, expectations, etc. with clients and stakeholders
- English level B2
- Experience with Gen-AI: LLMs, RAG, vector databases, prompt engineering
- Desirable: Experience with Git
- Desirable: Experience in deploying ML models into production (CI/CD, MLFlow, Git workflows, Docker, Kubernetes)
- Desirable: Experience with Big Data systems (Spark, Hadoop)
We look forward to hearing from you if you have the skills and experience required for this exciting opportunity
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