[Hiring] Senior Data Scientist @Blend360

Role Description

We are seeking a Senior Data Scientist with strong experience in Recommendation Systems and a solid understanding of Machine Learning and MLOps. The ideal candidate will be responsible for:

• Designing, developing, and optimizing machine learning models and recommendation systems for real-world business applications.
• Developing recommendation solutions focused on relevance, personalization, and measurable business impact.
• Working with large datasets using Python and SQL to explore data, develop features, train models, and evaluate results.
• Integrating LLM-based capabilities and services into existing or new machine learning solutions when appropriate.
• Applying MLOps practices to support the deployment, monitoring, maintenance, and continuous improvement of machine learning models.
• Taking data science solutions from experimentation and prototyping through production.
• Collaborating with Data Scientists, Data Engineers, Software Engineers, and other stakeholders to deliver production-ready solutions.
• Leveraging cloud technologies and tools such as Docker and Kubernetes to support scalable machine learning applications.
• Evaluating model performance, identifying opportunities for improvement, and communicating technical decisions and trade-offs.
• Contributing to best practices around machine learning development, deployment, reproducibility, and productionization.

Qualifications

• Proven experience as a Data Scientist, with strong experience developing Machine Learning solutions.
• Strong knowledge of Recommendation Systems and related modeling approaches.
• Strong programming skills in Python.
• Strong SQL skills and experience working with data at scale.
• Hands-on experience taking Machine Learning models and solutions into production.
• Solid understanding of MLOps principles and practices.
• Experience working with cloud-based technologies and environments.
• Experience with Docker and Kubernetes.
• Experience integrating LLMs or LLM-based services into data science or machine learning solutions.
• Strong analytical and problem-solving skills.
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
• Ability to work collaboratively in a multidisciplinary environment.

Requirements

• Advanced English proficiency is required, with the ability to communicate technical concepts clearly and effectively in a professional environment.

Benefits

• Learning Opportunities:
  • Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
  • Access to AI learning paths to stay up to date with the latest technologies.
  • Study plans, courses, and additional certifications tailored to your role.
  • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
  • English lessons to support your professional communication.
• Mentoring and Development:
  • Career development plans and mentorship programs to help shape your path.
• Celebrations & Support:
  • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
  • Company-provided equipment.
• Flexible working options to help you strike the right balance.
• Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.