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Principal Data Scientist

Location
Argentina, Brazil, Portugal, Poland, Serbia
Practice
Data engineering

Send your CV to hiring@t1a.com with the role in the subject line.

About Us

Tier One Analytics (T1A) is a leading consulting firm that specializes in advanced analytics, marketing technology, and data management. Our team is dedicated to delivering best-in-class solutions to large corporations in the telco, media, financial, and retail industries. We leverage advanced analytics and big data to supercharge our clients’ digital transformation and fuel their growth.

With offices in the US, Canada, and Europe, T1A is a trusted partner for dozens of clients across the globe. Our expertise and experience enable us to implement solutions that drive business success and deliver measurable results. Whether you need help with data management, marketing technology, or advanced analytics, T1A has the knowledge and skills to help you achieve your goals.

Benefits You’ll Love

  • Dedicated mentor
  • T1A and Partner vendor’s training and certification opportunities
  • Projects with the latest technologies and methodologies
  • Competitive salary and performance-based bonuses
  • Annual performance review with possibility of salary and/or bonus revision
  • T1A Christmas Holidays as an additional paid vacation time coordinated for the entire company
  • Public Holidays according to the legislation of country of your residence
  • Possibility for remote work
  • Possibility to get company laptop and necessary hardware for work
  • Yearly off-site team building

Position Summary

We’re looking for a Principal Data Scientist with hands-on experience in Databricks and a strong foundation in Machine Learning and Generative AI. In this role, you’ll be working with enterprise clients — often in close collaboration with the Databricks team — to design and deliver high-impact ML solutions.

You’ll act as a solution architect — designing pipelines, selecting tools, and validating business impact in real-world applications. Strong communication and the ability to navigate client environments are essential.

What You’ll Do And What You’ll Need

Your Responsibilities

  • Build ML solutions using the Databricks platform and integrate GenAI technologies where relevant
  • Collaborate with Data Engineers and DevOps to build scalable solutions
  • Engage in the entire analytics process – from hypothesis formulation, data visualisation, to model creation and deployment.
  • Work closely with stakeholders to understand their challenges and provide data-driven solutions.
  • Participate in planning sessions, sprints, and standup meetings.
  • Continually expand knowledge on new data science techniques and technologies.

Experience & Skills We Are Looking For

Required

  • Bachelor’s degree (or equivalent) in Computer Science, Engineering, Mathematics, Statistics, Analytics, or a related field
  • 4+ years of experience in data science, including machine learning, statistical modeling, and data analytics
  • Strong programming skills in Python and familiarity with core ML libraries (e.g., scikit-learn, pandas, numpy)
  • Solid understanding of algorithms, predictive modeling techniques, and model evaluation
  • Proficiency in SQL, with the ability to write complex queries
  • Hands-on experience with Databricks tools, including Unity Catalog, Delta Lake, Notebooks, MLflow, Serving Endpoints
  • Practical experience with LLMs — including prompt engineering, fine-tuning, and pipeline development — and a working understanding of agents, RAG, and chatbot design
  • Strong communication skills, both written and verbal, in English

Desired

  • 3+ years of experience in a client-facing or consulting role, ideally involving GenAI, NLP, and solution delivery
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and their analytics services
  • Experience with infrastructure tools such as Docker, workflow orchestration tools, and databases
  • Exposure to Big Data ecosystems (e.g., Hadoop, Spark)
  • Relevant certifications in Machine Learning, Data Science, or cloud technologies (Databricks certifications preferred)

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Data engineering
CRM
Process intelligence
CLM
work with us