RQVEAV Senior Data Scientist (On-Site)

Full Time
  • Full Time
  • Toronto

Meta Ventures



We are seeking a highly skilled and business-savvy Senior Data Scientist to join our growing Data & AI team. You will be responsible for designing, developing, and implementing end-to-end data science solutions that drive strategic decisions and operational efficiency across multiple domains. This role requires a mix of advanced analytics, machine learning expertise, and strong communication skills to collaborate with cross-functional stakeholders.

Key Responsibilities


  • Develop, validate, and deploy machine learning models and data-driven solutions to solve real-world business problems (e.g., churn prediction, customer segmentation, recommendation systems).
  • Design and run experiments (A / B testing, uplift modeling) to validate hypotheses and optimize decision-making.
  • Collaborate with data engineers to ensure the availability, accuracy, and scalability of data pipelines and data products.
  • Partner with product managers, engineers, and business stakeholders to translate business needs into analytical requirements.
  • Communicate findings and recommendations through compelling data storytelling and visualizations.
  • Stay up-to-date with the latest developments in machine learning, AI, and data science methodologies.

Required Qualifications

  • 4+ years of experience in a Data Science or Machine Learning role, ideally in fast-paced or high-impact environments.
  • Strong knowledge of Python and relevant libraries (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow, statsmodels).
  • Experience with cloud platforms (AWS, GCP, or Azure) and tools such as Databricks, Snowflake, or BigQuery.
  • Proficiency in SQL for data manipulation and analysis.
  • Solid foundation in statistics, machine learning, and predictive modeling.
  • Familiarity with MLOps tools and processes (e.g., MLflow, CI / CD for ML models).
  • Excellent communication and storytelling skills to deliver insights to both technical and non-technical audiences.
  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.


Nice to Have

  • Experience working with unstructured data (text, image, or audio).
  • Background in product analytics, growth, or marketing optimization.
  • Knowledge of experimentation frameworks (e.g., uplift modeling, multi-armed bandits).
  • Familiarity with dashboarding tools (Power BI, Tableau, or similar).

Location of this position : Toronto (On-site / Monday to Friday)

Why build your carrer at Meta?


We offer autonomy, clear goals and a dynamic and challenging environment, where professionals have the opportunity to interact with different technologies, participate in all types of projects, bring new ideas and work from anywhere in Brazil and (why not?) anywhere in the world. In addition, we are one of the best companies to work for in Brazil according to Great Place to Work and one of the 10 fastest growing technology companies in the country for 3 consecutive years, according to Anuário Informático Hoje.

What are our values?


  • We are people serving people
  • We all think and act like owners
  • We are hungry for performance
  • We grow and learn together
  • We pursue excellence and simplicity
  • We have innovation and creativity in our DNA

All people are welcome regardless of their condition, disability, ethnicity, religious belief, sexual orientation, appearance, age or others. We want you to grow up with us in a welcoming environment full of opportunities.

Did you relate? Then, #ComeBeMeta!


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Meta IT is a technology and innovation company dedicated to digital transformation (DX). From crafting digital strategies to delivering comprehensive technological solutions, we approach every project with a human-centered perspective.

With 34 years of experience, our global presence extends to over 300 clients across 8 countries. We boast a team of 3,000 professionals spanning 350 cities and 14 countries.



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