Data Innovation Specialist

Há 5 dias

Cotia, Brasil beBeeData Tempo inteiro R$90.000 - R$120.000

We're always innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer. As a global leader in measurement and information, providing our clients a precise understanding of the consumer is the key to making the right decisions that can lead to profitable growth.

Job Overview

You'll play a critical role in developing the next generation of solutions we offer our clients, powered by algorithms and AI and leveraging large volumes of internal data, client data and third-party data.

  • Read, write, comment, maintain, enhance, and share legible, well-documented, and quality computer code translated from technical specifications to fulfill product requirements.
  • Adapt and plan implementation of statistical and analytical models (including ML/AI approaches) to production platforms, guiding their integration with other production processes.
  • Maintain data integrity and quality throughout the development lifecycle.
  • Actively participate in Agile workflows with the broader team which includes best-in-class data scientists.

Key skills and qualifications include:

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field requiring outstanding analytical expertise and strong technical background.
  • 3+ years of experience in data science/analytics/software engineering related product development and/or data solutions development.
  • Knowledge of statistical and machine learning methodologies: Sampling theory, Probability Theory, Variation analysis, Outlier identification techniques, Regressions, Classification, Time series analysis, Clustering, Neural Networks, etc.
  • Ability to prototype as well as support pilot programs for R&D purposes.
  • Proficient in Python, SQL, Statistical packages (scipy, sklearn, statsmodels, etc), and version control (GitHub).

Preferred skills and qualifications include:

  • Experience with Cloud computing, ETL, advanced data processing techniques (Spark, pySpark, Hadoop, etc).

About Us

We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products.

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