Role overview

Qualifications

Expert knowledge of Python for data analysis and machine learning modeling.
Hands-on experience with common ML libraries and frameworks.
Strong understanding of machine learning and statistical techniques including supervised/unsupervised learning, time series analysis, and A/B testing.
Experience deploying ML models into production and maintaining them.

Responsibilities

Design and implement ML models for business needs like forecasting, recommendation systems, pricing, and churn.
Perform EDA to identify trends, anomalies, and relationships in the data.
Collaborate with stakeholders to define problems, success metrics, and data needs.
Build scalable and maintainable ML workflows and ensure smooth model deployment.

Key facts

Remote from: Argentina
Full time
Senior (5-10 years)
Data Scientist
English

Hard skills

Python (Programming Language) Machine Learning Statistical Methods Data Libraries SQL (Programming Language) Data Engineering Recommender Systems CI/CD

Other skills

Communication
Collaboration
Mentorship

About the company

MUTT DATA

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning solutions that drive real business results. Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices We Are Astronomer & Amazon Consulting Partners. We Are #DataNerds.

Company details

Company typeScaleup

Company size51 - 200

Links

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Job description

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀

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 to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀

🚀 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

📊 We are Data Nerds

🤗 We are Open Team Players

🚀 We Take Ownership

🌟 We Have a Positive Mindset

🔍 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! 🚀

Responsibilities 🤓

Design and implement ML models for business needs like forecasting, recommendation systems, pricing, and churn.

Perform EDA to identify trends, anomalies, and relationships in the data.

Collaborate with stakeholders to define problems, success metrics, and data needs.

Build scalable and maintainable ML workflows and ensure smooth model deployment.

Monitor model performance and retrain when needed to ensure reliability.

Communicate insights clearly to technical and non-technical audiences.

Work closely with product, engineering, and business teams to integrate models.

Mentor junior team members and promote data science best practices.

Contribute to internal standards on testing, reproducibility, and documentation.

Stay current with advances in ML and AI to bring new ideas to the team.

Required Skills 💻

Expert knowledge of Python for data analysis and machine learning modeling.

Hands-on experience with common ML libraries and frameworks.

Strong understanding of machine learning and statistical techniques including supervised/unsupervised learning, time series analysis, and A/B testing.

Experience deploying ML models into production and maintaining them.

Proficiency in writing clean, reproducible, production-grade code.

Solid knowledge of SQL and experience working with structured and unstructured data from relational databases and/or data lakes.

Demonstrated ability to communicate complex technical concepts to business stakeholders clearly and effectively.

Experience working in cross-functional teams and collaborating with product, engineering, and business units.

Experience with version control (Git) and agile development practices.

Nice to Have Skills 😉

Experience with recommendation systems, dynamic pricing algorithms, or customer segmentation techniques.

Experience working with cloud platforms (AWS, GCP, Azure) and associated data/ML services.

Knowledge of Docker, Airflow (or similar, e.g: prefect), MLflow or similar tools .

Familiarity with ML observability and monitoring tools (e.g., Evidently, WhyLabs, Prometheus + Grafana).

Knowledge of CI/CD pipelines for ML systems.

Knowledge of Poetry or uv.

🎁 Perks

🌍 Remote-first culture – work from anywhere!

🚀 In-Company English Lessons.

💪 Wellhub or sports club stipend to stay active

🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered

🍕 Food credits via Pedidos Ya – because great work deserves great food.

🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)

🤝 Referral bonuses – help us grow the team & get rewarded!

✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!

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