Skip to main content

Muttdata

Data Scientist Lead

Argentina

Location
Argentina
Work
Remote
Employment
Not stated
Level
Lead / staff
Function
Data & AI
Pay
Not stated
Posted
15 months ago

About the role

πŸš€ Join Our Data Products and Machine Learning Development Remote Startup! πŸš€

Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

We’re looking for a Data Scientist Lead to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! πŸΆπŸš€

πŸš€ What We Do

  • Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
  • Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
  • Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
  • Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
  • Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
  • Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships

  • Amazon Web Services
  • Astronomer
  • Databricks

🌟 Our Values

  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset

πŸ” Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! πŸš€

Responsibilities πŸ€“

  • Lead and mentor a team of data scientists, overseeing project execution, and facilitating their professional growth.
  • Architect and implement robust, high-quality code in Python, enforcing best practices for software development and version control using Git.
  • Deploy and monitor machine learning projects in production, ensuring reliability, scalability, and performance over time.
  • Translate complex business challenges into clear data science frameworks and project plans.
  • Conduct in-depth research and apply advanced statistical and machine learning techniques to generate actionable insights.
  • Effectively communicate findings and the value of data science solutions to non-technical stakeholders and senior leadership through compelling presentations and reports.
  • Guide junior team members in developing their presentation skills and confidence in sharing their work.
  • Proactively identify and propose innovative data-driven opportunities and approaches to add value to the business.
  • Foster a collaborative environment, enabling the team to work in parallel to accelerate progress and deliver results for our clients efficiently.

Required Skills πŸ’»

  • Programming Expertise: High proficiency in Python, with a strong emphasis on writing clean, efficient, and maintainable code.
  • Software Development Best Practices: Solid understanding and practical application of software development principles, including collaborative coding and version control using Git.
  • Theoretical Depth: Strong foundation in mathematics, statistics, and machine learning theory, with the ability to understand and implement new techniques from academic literature.
  • Problem-Solving & Innovation: A creative and analytical mindset with a talent for proposing novel solutions to challenging problems.
  • Communication & Presentation: Excellent ability to distill complex quantitative findings into clear, concise, and persuasive presentations for diverse audiences.
  • Leadership & Mentoring: A passion for guiding and developing junior talent, fostering a supportive and high-performing team environment.

Nice to Have Skills πŸ˜‰

  • Proven experience in a data science role with a track record of leading projects or mentoring team members.
  • Experience working with cloud-based data platforms, particularly Databricks.
  • Previous experience in a client-facing or consulting role.
  • A portfolio of completed data science projects or contributions to open-source libraries.

🎁 Perks

  • Remote-first culture – work from anywhere! 🌍
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • In-Company English Lessons.
  • Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
  • πŸ‘Ά Monthly Childcare Reimbursement – Because supporting families matters too

Source

Posted by Muttdata on their own hiring page, jobs.lever.co. OptiTalent shows it as published, read 07 Nov 2026 00:43 UTC; the original is the reference.

View the original ad β†—

More at Muttdata

  • Muttdata Β· Argentina

    RemoteSeniorData & AI

    Formalize mathematically the trade-off between service time / RTM cost and revenue per point of sale, building the optimization function that currently operates heuristically.; Model the cost and profitability layer (visit drivers, RTM Size thresholds, minimum margin) that…

  • Muttdata Β· Buenos Aires, Argentina

    HybridFull-timeSeniorEngineering

    Design and implement CI/CD for Databricks, including controlled promotion across environments.; Manage Infrastructure as Code for workspaces, permissions, compute, service principals, and policies.; Create reusable templates and standards for new data products and pipelines.;…

  • Muttdata Β· Buenos Aires, Argentina

    HybridFull-timeSeniorData & AI

    Design the data access architecture for applications, APIs, AI agents, and MCPs on top of Databricks.; Define secure, reusable patterns for exposing data and capabilities (Data Services, APIs, SQL, functions, and MCP).; Implement authentication and authorization that preserve…

  • Muttdata Β· Remote

    RemoteSeniorData & AI

    Design transactional and credit behavior features (frequency, recency, amount, digital engagement, delinquency) for the risk model.; Implement features with complete standard metadata (description, PKs/FKs, lineage, owner, tags, data lifecycle, temporality) and D1/D2 design to…