Data Scientist
São Paulo, São Paulo, Brazil
há 17 horas
source : LinkedIn

A Data Scientist, work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions.

These solutions will generate insights from our connected data, enabling the team to advance the data-driven decision-making capabilities of our enterprise .

This role requires deep understanding of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engine and services.


  • Data mining, cleaning : identify and merge relevant data and sources, test data quality, identify and resolve any irrelevant, corrupt, missing, or incongruent data;
  • Quick learner to business needs and translate them into potential analytics solutions

  • Data analysis & ML : lead and design analytics approach (algorithm selection, architecture design of tools / techniques).
  • Should be comfortable with both mathematical / statistics concepts, and application of techniques.

  • Software development : write reusable, version controlled code that can be scaled, deployed, distributed
  • Documentation : capture model design choices, algorithm selection process, dependencies, preprocessing, feature generation
  • Value assurance : work with business process owners to validate model outputs, construct appropriate trainings, tune models and ensure value created from models
  • Problem framing : participate in problem framing together with business owners for identified opportunities
  • Requirements

  • A degree in a quantitative discipline such as Computer Science, Engineering, Mathematics, Statistics.
  • Knowledge on Machine Learning, Python and SQL.
  • Familiarity with Python Library, such as : scikit-learn, TensorFlow, Keras and Pytorch
  • Advanced methods : additional specialization in an advanced area / domain (e.g., NLP, RNNs)
  • Advanced / Fluent English
  • Differential

  • Knowledge on time series model and predictive maintenance
  • Experience with Cloud : Azure, AWS or Google Cloud Platform
  • Experience working on a collaborative Agile product team
  • Benefits

  • PPR : varies according to the professional's performance and the company's profits;
  • Health plan : expandable to dependents without co-payment or payroll deductions for themselves or their dependents;
  • Dental Plan : expandable to dependents without co-participation or payroll deduction for themselves or their dependents;
  • Life Insurance : no co-payment or payroll deduction;
  • VA / VR : Transferred to the Flash benefits card;
  • Corporate education incentive : we are finalizing the points regarding this benefit;
  • Daycare allowance : for dependents up to 5 years old;
  • Referral program : program to refer professionals in which the new Shaper is contemplated after his / her referral completes 3 months of service;
  • Mentoring : with Shape leadership, aiming career development.
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