Advanced Analytics Specialist

Há 2 dias

Campinas, São Paulo, Brasil beBeeData Tempo inteiro US$122.390 - US$143.938
Job Overview

A data scientist in advanced analytics plays a pivotal role in strategic projects that directly impact clients and operations. The position entails developing predictive and prescriptive models, performing exploratory analysis, and leading data-driven initiatives to solve complex business challenges.

Responsibilities
  • Develop and tune supervised and unsupervised Machine Learning models.
  • Conduct exploratory data analysis (EDA) to identify patterns, trends, and insights.
  • Collaborate with data engineers to ensure data quality and preparation.
  • Build proofs of concept (PoCs) to validate solutions.
  • Monitor and analyze performance metrics (precision, recall, F1-score).
  • Support the transition of models to production, with a focus on reproducibility and scalability.
  • Utilize Cloud platforms (Azure, AWS, or GCP), with emphasis on Azure Machine Learning, for model development, deployment, and monitoring.
Required Technical And Professional Expertise
  • Higher education in areas such as Computer Science, Engineering, Statistics, Mathematics, or related courses.
  • Proficiency in Python, with mastery of libraries such as Pandas, Scikit-Learn, StatsModels, PySpark, and knowledge of Keras, PyTorch, or TensorFlow.
  • SQL skills for data manipulation and extraction.
  • Solid knowledge of statistics: descriptive statistics, diagnostics, probabilistic distributions, and hypothesis testing.
  • Experience with code versioning using Git.
  • Knowledge of data visualization tools such as Power BI, Tableau, or Looker.
  • Experience with Cloud platforms: Azure, AWS, GCP, or IBM Cloud.
  • Knowledge of time series analysis, text mining (NLP), and interpretable machine learning.
  • Familiarity with deploying and monitoring models in a cloud environment.
Preferred Technical And Professional Experience
  • Experience with Big Data frameworks: Databricks, Hadoop, Spark, Scala, Kafka, Java, and/or C++.
  • Knowledge of statistical tools such as SPSS, SAS, or Knime.
  • Experience with Visual Recognition and Computer Vision techniques.
  • Experience with Mathematical Programming/Optimization: CPLEX, Gurobi, Matlab.
  • Portfolio of projects on platforms such as GitHub or personal technical blog.
  • Experience with Azure Cognitive Services, Azure ML AutoML, Azure Container Instances, and Azure Synapse Analytics.
  • Previous experience with GenAI (Generative Artificial Intelligence).

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