Posição: Research Scientist

Tipo de empregos: Full Time, Permanent

Experiência: 1 - 3 years

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Conteúdo do emprego

Responsibilities
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending company s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
Skills and Qualifications
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc . Excellence in at least one of these is highly desirable
  • Excellent written and verbal communication skills for coordinating across teams.
  • Experience with data visualisation tools, such as D3.js, GGplot, etc.
  • Proficiency in using query languages such as SQL, Hive, Pig
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills
  • Data-oriented personality
  • Bachelor degree
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Data limite: 20-06-2024

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