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Data Scientist - Senior

São Paulo
Freelance
English

Job description

Who are we?

Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects since 2007 – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
As part of a global data and analytics consulting team, you will contribute to a data-driven transformation project for a leading multinational retail and e-commerce company. You will transform large volumes of physical store and online retail data into actionable business insights and predictive models. Working in a 100% remote environment based in Brazil, you will collaborate with Business, Product, E-commerce, Supply Chain and Data Engineering teams to develop and deploy solutions that optimize business strategy, pricing, demand forecasting and customer experience.

Your Responsibilities

  • Transform large volumes of physical store and online retail data into actionable business insights.
  • Develop, validate and deploy machine learning and statistical models to address real-world business challenges.
  • Build time series and demand forecasting models using approaches such as ARIMA, SARIMA, Prophet or machine learning-based forecasting.
  • Apply customer segmentation, clustering techniques and recommendation systems.
  • Build and maintain data pipelines required for analytics and model training.
  • Work with modern cloud platforms and data environments, particularly Databricks and AWS.
  • Apply MLOps principles, including CI/CD automation, model deployment, monitoring and performance tracking.
  • Translate complex business problems into technical data science solutions and communicate findings to non-technical stakeholders.

Your Profile

  • Proven experience as a Data Scientist, applying machine learning and statistical modeling to real-world business challenges.
  • Strong expertise in machine learning frameworks, including Scikit-learn, XGBoost, LightGBM or similar libraries.
  • Hands-on experience developing time series and forecasting models.
  • Practical experience with Databricks, AWS and modern cloud-based data environments.
  • Solid experience with customer segmentation, clustering techniques and recommendation systems.
  • Experience building and maintaining data pipelines for analytics and model training.
  • Practical knowledge of MLOps principles, including CI/CD automation, model deployment, monitoring and performance tracking.
  • Experience with large-scale data processing in cloud data warehouse architectures. Experience in Retail, E-commerce, Supply Chain or Business Strategy analytics is a plus.
  • English and Portuguese fluent.
  • Strong analytical mindset, structured problem-solving approach, proactive ownership, collaborative attitude and excellent communication skills, with the ability to connect technical execution with strategic stakeholders.

What we offer

  • An international community bringing together 110+ different nationalities.
  • An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities.
  • A robust training system with our internal Academy and 250+ available modules.
  • A vibrant workplace that frequently gathers for internal events, including afterworks and team buildings.
  • At Mantu, sustainability is part of everything we do. You’ll have the opportunity to turn your ideas into action and make a tangible impact. Every day, our teams bring our ESG commitments to life, from reducing our footprint to driving positive change within our communities. Through our WeCare Together program, you’ll be empowered to design and lead projects that create real social or environmental impact, with the company’s full support.
  • Regular training and management support to develop your skills.
Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.

Who are we?

Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:   

Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you! 

Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!

Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.   

As you know, every person is different and so is every role in a company.  That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience. 
We look forward to meeting you!

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