Data Science- Pipeline (LATAM)
Data Science- Pipeline (LATAM)
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1 Vacancy
Job Description
At Blend we are constantly looking to connect with talented professionals in the Data Science field. We have an active and ongoing pipeline of opportunities across various domains including:
MLOps & Data Engineering building robust data pipelines deploying models and ensuring scalability.
Analytical & Business-Focused Data Science designing models conducting advanced analytics and delivering actionable insights.
Generative AI & Applied AI developing innovative AI solutions and integrating LLM-based approaches into business workflows.
We consider candidates of vary seniority levels mostly from senior to seasoned experts leading large-scale projects at a Manager or Senior Manager levels. Our goal is to understand your strengths and explore how you can be a great match for our diverse range of roles.
You may work 100% remotely if you are currently living in LATAM or you can always join us at the office in Montevideo Uruguay or Bogot Colombia.
In this role you may:
Work cross-functionally with engineers analysts and business stakeholders.
Design develop and deploy data-driven models and solutions.
Build maintain and optimize ETL pipelines and model workflows.
Perform statistical analyses create dashboards and communicate results effectively.
Contribute to the development of AI-based solutions.
Ensure code quality reproducibility and scalability in production environments.
Qualifications :
Required Skills:
Strong proficiency in SQL and Python.
Excellent written and verbal English communication skills.
Solid analytical thinking and problem-solving abilities.
Familiarity with cloud platforms (AWS Azure GCP).
Education:
Bachelors or Masters degree in a relevant field (Computer Science Data Science Mathematics Statistics Engineering or related) or equivalent hands-on experience.
Nice to have skills for different roles:
Experience with MLOps tools (e.g. MLflow Airflow Docker Kubernetes).
Exposure to Generative AI tools and frameworks (e.g. LangChain Hugging Face LLM fine-tuning).
Familiarity with cloud platforms (AWS Azure GCP).
Knowledge of visualization tools (Power BI Tableau Looker).
Experience with big data frameworks (PySpark Databricks Snowflake).
How much experience must I have
We are open to various levels of experience whether you have a couple of years in the field or are a senior professional we want to get to know you and explore the best fit within our projects.
If youre passionate about Data Science eager to tackle challenging problems and ready to make an impact with innovative AI solutions we are happy to meet you.
Additional Information :
Our Perks and 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.
Travel opportunities to attend industry conferences and meet clients.
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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
