Vaga de parceiro

Senior Data Scientist I - São Paulo / SP

Disponível para Assinantes
Salvar nos Favoritos
  • Compartilhe:

Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • Our product helps businesses of all sizes minimize their fraud exposure and grow their sales.
  • This translates into improved e-commerce shopping experience for individuals, by reducing the number of orders that are incorrectly declined, and by making account hijacking less profitable for criminals.
  • The data science team has end-to-end ownership of our decision engine, from research and development to online performance and risk management.
  • We value collaboration and team ownership -- no one should feel they''re solving a hard problem alone.
  • Together we help each other grow our skills through peer reviews, group studies, and frequent knowledge sharing to deepen our ML and stats understanding.
  • This is done through live demos, write-ups, and special cross-team projects.
  • The Data Science and Engineering teams at Signifyd have always had a strong contingent of remote folks, individual contributors and team leads.
  • The challenges of working remotely aren''t new to us and we strive to iteratively improve our remote culture.
  • We are looking for someone who embodies ourcompany values :Curious and Hungry:Be willing to do research and design experiments by being hands-on.
  • Tenacious:Creating something new is hard work, and our Data Scientist team never gives up.
  • Customer Passion:Be the backbone to our platform, and help us stay ahead of fraudsters.
  • Design for Scale:Work with the rest of the Data Science team to make fraud protection at scale possible.
  • Agile:Some days you may spend doing research and designing experiments while others are spent using your analytical toolbox to surface insights into real-time fraud attacks.
  • Roll Up Your Sleeves:Partner closely internally to learn from others, and succeed as a team.
  • How youll have an impact:Building production machine learning models that identify fraud.
  • Writing production and offline analytical code in Python.
  • Working with distributed data pipelines.
  • Communicating complex ideas effectively to a variety of audiences.
  • Collaborating with engineering teams to strengthen our machine-learning platform.
  • Requirements:Bachelor''s degree in computer science, applied mathematics, economics, or an analytical field or equivalent practical experience.
  • At least 5+ years of experience.
  • Building production ML models.
  • Hands-on statistical analysis with a solid fundamental understanding.
  • Designing experiments and collecting data.
  • Writing code and reviewing others in a shared codebase, preferably in Python.
  • Practical SQL knowledge.
  • Familiarity with the Linux command line.
  • Fluent in English.
  • This role has on-call shifts, as part of our weekend rotation, Fri/Sat/Sun.
  • While the number of shifts is subject to change, currently it works out to about six weekends a year.
  • Bonus points if you have:Advanced degree in an analytical field (Master, PHD).
  • Previous work in fraud, risk, payments, or e-commerce.
  • Worked previously with Go-to-Market teams directly.
  • Data analysis experience in a distributed environment.
  • Passion for writing well-tested production-grade code.
  • Check out howData Science is powering the new era of Ecommerce .
  • Check out our Director of Data Science featured inBuilt In .
  • #LI-RemoteBenefits in Mexico:Health, Dental & Vision Insurance.
  • Life Insurance of 24 months salary.
  • Annual Performance Bonus.
  • Christmas Bonus of 1 Months Salary.
  • Food Vouchers.
  • Stock Options.
  • Paid Parental Leave.
  • Flexible Work Arrangements.
  • Telework Stipend for Home Internet.
  • 12 Paid Vacation Days with 85% Vacation Premiums.
  • Paid Holidays.
  • Company Social Events.
  • Signifyd Swag.
  • Dedicated learning budget through Learnerbly.
  • On-Demand Therapy for all employees & their dependents.
  • We want to provide an inclusive interview experience for all, including people with disabilities.
  • We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
  • #J-18808-Ljbffr

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

Envie esta vaga para um amigo!

 

Cadastro Inicial

Preencha os campos abaixo
  • Ao criar uma conta, você aceita nossa Política de Privacidade e nosso Termo de Adesão
 

Acesse sua Conta

Preencha os campos abaixo

ou acesse com seu provedor
 

Recuperação de Dados de Acesso

Informe seu e-mail cadastrado