Senior Data Scientist – LATAM

Latin America

About Distillery  

Distillery Tech is committed to diversity and inclusion. We actively seek to cultivate a workforce that reflects the rich tapestry of perspectives, backgrounds, and experiences present in our society.  In our recruitment efforts, we are dedicated to promoting equal opportunities for all candidates, regardless of race, ethnicity, gender, sexual orientation, disability, age, or any other dimension of diversity.

Distillery accelerates innovation through an unyielding approach to nearshore software development. The world’s most innovative technology teams choose distillery to help accelerate strategic innovation, fill a pressing technology gap, and hit mission-critical deadlines. We support essential applications, mobile apps, websites, and eCommerce platforms through the placement of senior, strategic technical leaders and by deploying fully managed technology teams that work intimately alongside our client’s in-house development teams. At Distillery, we’re not here to reinvent nearshore software development, we’re on a mission to perfect it.

About the Position

You'll act as the principal domain hands-on expert and owner of data science for a technology venture. You will collaborate with our venture teams to drive both high-level and day-to-day analysis data engineering overview. This includes everything from assisting in validating the initial business concepts, ideating and validating data use cases, developing proof of concepts, and working closely with the product and engineering team members to drive practical outcomes. You’ll have the support you need to drive new innovation in impactful domains ripe for change and growth and be at the forefront of creating a more intelligent industry.



  • Act as the primary owner of Data Science, Analytics, and in some cases Data Engineering as a subject matter expert

  • Build out a team and incubate expertise amongst several venture start-ups

  • Create rapid proofs of concept, then scale into functional MVPs to turn concepts into tangible reality.

  • Mentor and support effective teams to achieve bigger outcomes at a greater scale in data density and system complexity.

  • Cross-pollinate learnings, best practices, and insights between multiple ventures to drive continuous improvement of Engineering and Data Science.

  • Enjoy working in a diverse, dynamic, collaborative, transparent, and inclusive environment where all ideas and opinions are equally valued



  • 7+ years experience within Data Science, Data Engineering, and Machine Learning domains and their practical applications

  • Hands-on experience with machine learning algorithms like linear and logistic regressions, XGBoost, random forest, and anomaly detection algorithms for building, evaluating, deploying and monitoring ML models from scratch.

  • Familiar with time series analysis, LSTM (and other deep learning approaches for sequence analysis)

  • Hands-on and end-to-end product build, development, and delivery experience.

  • Experience working with or managing and leading remote, distributed teams including full-time data scientists, engineers and vendors/contractors.

  •  Awareness of the latest in Data Science and Data Engineering trends, as well as new use cases within the ML Space.

  • Experience working with agile, lean, and Continuous Delivery approaches, such as Continuous Integration, TDD, Infrastructure as Code, etc

  • Experience working with major cloud environments (Azure, GCP, AWS) and cloud-native software architectures.

  • Experience with Databases, Data Warehousing, and ETL systems and solutions, e.g. Oracle, Data Bicks, Snowflake, and respective public cloud service offerings from AWS, GCP, and Azure.

  • Strong experience in collaborating with Product teams to find effective solutions.

  • Strong communication skills put to use by explaining technical vision and deeply technical concepts to a variety of multidisciplinary team members.

  • An open, curious, and humble mindset that builds on to our open, inclusive, and collaborative environment.


Nice to Have

  • Experience with systems planning in the domains of transportation, aviation, or digital simulation would be valuable.

  • Familiarity with the concepts of dynamic and continuous pricing, assortment optimization as applicable to the airline industry

  • Knowledge of Bayesian models, Monte Carlo simulations as well as MLS, ITSA, and MAB optimizers are beneficial

  • Familiarity with AB testing setup and analysis

  • Familiar with Reinforcement for practical use cases


Why You’ll Like Working Here

  • The ability to work on and partner with multi-national teams that are committed to our core values: Unyielding Commitment, Relentless Pursuit, Courageous Ambition, and Authentic Connection.

  • A generous, competitive compensation package for exceptional performers, as well as a generous vacation package and competitive benefits plan

  • Remote working environment

  • Professional and personal development