Blend360
Tech / AI / Software
DataScience-Pool(LATAM)
Neural analysis suggests this role is
optimal for mid candidates.
“Data Science - Pool (LATAM) at Blend360. Skills: Data Science, AI, MLOps, Data Engineering, Analytical & Business-Focused Data Science, Generative AI & Applied AI. building robust data pipelines. deploying models”
What You'll Achieve.
co-creating meaningful impact for its clients; fuel bold visions; unlocking value; creating more fulfilling work and projects for our people and clients; contribute to our next level of growth and expansion; delivering actionable insights
Industry & Context.
Solid analytical thinking and problem-solving abilities; tackle challenging problems
Travel opportunities to attend industry conferences and meet clients
What They're Looking For.
Must Have
proficiency in SQL and Python, Excellent written and verbal English communication skills, Solid analytical thinking and problem-solving abilities, Bachelor’s or Master’s degree in a relevant field (Computer Science, Data Science, Mathematics, Statistics, Engineering, or related), or equivalent hands-on experience.
Nice to Have
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)
What You'll Do.
building robust data pipelines
conducting advanced analytics
delivering actionable insights
developing innovative AI solutions
integrating LLM-based approaches into business workflows
Work cross-functionally with engineers
and business stakeholders
and deploy data-driven models and solutions
and optimize ETL pipelines and model workflows
Perform statistical analyses
and communicate results effectively
Contribute to the development of AI-based solutions
and scalability in production environments
How You'll Work.
Team & Collaboration
Work cross-functionally with engineers, analysts, and business stakeholders
Communication Scope
Excellent written and verbal English communication skills
Process & Methodology
leading large-scale projects
Full Job Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit [www.blend360.com](http://www.blend360.com). We are seeking Data Science Professionals to contribute to our next level of growth and expansion. 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 work100% remotely if you are currently living in LATAM, or you can always join us at the office in Montevideo, Uruguay or Bogotá, 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
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