Data Scientist Nivel II

Worldwide | Oct. 15, 2026

Report as Closed

Company: Unholster

Country: Worldwide

Salary: $24,000 - $36,000

Type: Remote

Employment: Full-time

Description: We are passionate software developers. We make our own products, custom software and consultancies in a productive and entertaining environment.

At Unholster we develop custom software, data and predictive analytics for clients in various sectors. We are looking for a Senior Software Engineer to lead the design, implementation and delivery of innovative solutions that directly impact our clients' business. You will be part of a multidisciplinary team that spans engineering, product and data, working on projects that require high performance, scalability and code quality. 

We are especially interested in this position being projected as a central part in strengthening our technical capabilities and in the evolution of our way of developing software. As you advance in the role, you will have the possibility of assuming technical leadership responsibilities, either as a reference in a technological vertical, leading teams or defining transversal standards in collaboration with other areas of the company.

  • Graduate or degree in Mathematical, Electrical, Computer Engineering or other Quantitative Sciences (non-exclusive).
  • Vacancy for semi-senior level (2 to 3 years of experience)
  • Experience in statistical models and machine learning.
  • Solid knowledge of programming, especially Python.
  • Analytical skills, proactivity, autonomy and organizational skills.
  • Availability for in-person work (with flexibility).
  • Excellent communication skills (writing and spelling).
  • Experience working with cloud services, ideally AWS.
  • Ability to communicate and present technical results, adapting the level of detail and approach according to the type of audience (technical or business).
At Unholster we develop custom software, data and predictive analytics for clients in various sectors. As a Data Scientist at Unholster, you will be part of a multidisciplinary team of data, engineering and consulting professionals, where you will collaborate directly on projects with national and international clients. Your role will be to solve complex problems through analytical models, programming and statistical techniques, generating insights that translate into real decisions and tangible value for the organizations we work with. We believe in the transformative power of data and technology, and are dedicated to creating innovative and responsible solutions that drive public debate and informed decision-making. Functions of the position
  • Research, understand and work with structured and unstructured data models.
  • Design and develop analytical and predictive models that generate value in decision making.
  • Present results in a clear and understandable way, using graphs, interactive maps and timelines.
  • Participate in the definition of the scope of projects (Scope of Work) and in the design of solutions, in coordination with multidisciplinary teams.
  • Work in parallel on multiple Data Science projects, ensuring high quality deliverables and meeting deadlines.
  • Collaborate directly with clients and project managers to translate needs into real solutions.
Benefits
  • Extended vacation: We have 25 days of vacation available for you.
  • An atomic office: In the heart of Ñuñoa, with large work spaces that have a patio with a pool and terrace, board games, bicycle parking, and snacks.
  • Access to AI tools: Claude, Cursor, OpenAI.
  • Celebrate your birthday: We give you the day off!
  • Quarterly CPI adjustment
  • Work safely: Supplementary health and dental insurance, mental health support agreements.
  • 40 hour day
Desirable
  • Diploma or Master in Data Science.
  • Advanced level of English.
  • Experience developing agentic flows and AI agent-based systems (e.g. LangChain, LangSmith, Amazon Bedrock AgentCore, among others).
  • Experience in development, training and/or fine-tuning of machine learning and deep learning models, using frameworks such as PyTorch and Transformers.

Apply here:

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