Data Science Lead
Data Science Lead
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1 Vacancy
Job Description
What is this position about
As a Lead Data Scientist you will be developing advanced recommendation engines and deploying machine learning models into production environments. Leveraging your expertise in Python and PySpark coding along with your experience in MLOps you will play a pivotal role in enhancing our data-driven decision-making processes.
This position offers a unique opportunity to lead and mentor a team while driving technical excellence and innovation in a dynamic data-centric organization.
You may work 100% remotely if you are currently living in Colombia Uruguay or Agentina! or you can always join us at the office in Montevideo Uruguay or Bogot Colombia!
Design and implement scalable machine learning pipelines with a focus on production-grade reliability and performance.
Collaborate with data engineering and product teams to translate complex business requirements into actionable ML solutions within the Databricks environment.
Lead the end-to-end development of machine learning modelsfrom experimentation and training to deployment monitoring and retrainingadhering to MLOps best practices.
Optimize model training and inference workflows using distributed computing in Databricks ensuring efficient resource usage and minimal latency.
Conduct in-depth performance evaluations and validation strategies ensuring robustness and fairness of models in production.
Maintain high standards in reproducibility and traceability by leveraging the experiment tracking and lineage features in Databricks.
Partner with stakeholders across business units to align modeling efforts with strategic objectives ensuring impact and scalability of ML-driven initiatives.
Qualifications :
- 4 years of experience in data science or related roles with a strong focus on recommendation engines.
- Expertise in Python and PySpark for data analysis modeling and deployment.
- Proven experience in MLOps including deploying models at scale and managing their lifecycle.
- Solid understanding of machine learning algorithms data structures and statistical modeling techniques.
- Experience designing and deploying recommendation engines at scale.
- Experience with cloud platforms (AWS Azure GCP) and big data technologies is a plus.
- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Leadership experience in guiding and mentoring a team of data scientists.
- Detail-oriented with a passion for building robust scalable and efficient machine learning systems.
Additional Information :
Flexible working options to help you strike the right balance.
All the equipment you need to harness your talent.
Snacks and beverages available everyday (headquarters).
After office events football tennis and game nights (headquarters).
Learning opportunities:
AWS Certifications (we are AWS Partners).
Study plans courses and other certifications.
English Lessons.
Learn from your teammates on our Tech Tuesdays!
Mentoring and Development opportunities to shape your career path.
Great location and even greater teammates!
So what are the next steps
We are eager to learn about you! Send us your resume and LinkedIn profile below and well explore working together!
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
