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Bold Metrics via Greenhouse

Machine Learning Engineer (Data Scientist)

Level not stated Brazil
still open verified 8h ago posted 738d ago checked 1h ago

Posted 738 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 1 hour ago.

Apply at boards.greenhouse.io

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 8h ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 738d ago

The date the source published, not the day we noticed it (2024-09-06). Last seen at its source 1h ago.

Is it remote?

The listing says yes

The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.

Who may apply?

Brazil

The description agrees: it names Brazil.

What the ad says
located in Brazil and working remotely, however if you're located in São Paulo, you will be able to come into the office location as needed…

Pay not stated

Similar roles pay $90k–150k/yr

Middle 50% of 21 listings that do state pay — Engineering · all levels · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

A/B TestingAWSCustomer SuccessDeep LearningDockerETLGitMLOpsMachine LearningPythonSQLSupply Chain

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

Please submit your resume in English. Applications in other languages may not be considered.

 

Bold Metrics is the leading fit and sizing solution on the market today for the world’s top retailers and brands. We are a venture-backed startup that is making a big impact on the environment, forever changing the landscape of eCommerce. We are a remote-first company that is full of inspiring and friendly people.

We are currently searching for a Data Scientist to join our fast-growing team. This position is for someone located in Brazil and working remotely, however if you're located in São Paulo, you will be able to come into the office location as needed. In this position you will have the opportunity to work with some of our biggest projects within the retail industry.

 

About You:  

You are a humble, passionate, and experienced engineer that is looking for a collaborative and analytical Data Scientist role to support the execution of our product deliveries and machine learning pipeline. This comprises validating the data flow from data sources, analyzing patterns and trends in the data, and facilitating machine learning updates to the system. 

As our Data Scientist, you are an extremely detail oriented, out-of-the-box problem solver with a commitment to doing high-quality work. You will work closely with the Engineering and Data Teams, alongside Customer Success teams to support the flow of data collection and machine learning initiatives to ultimately drive customer success.

 

How You Will Make an Impact:  

  • Lead strategic decision-making for user growth and product innovation by utilizing the full range of data science tools, including analytics, experimentation, forecasting, and machine learning, to enhance the entire consumer experience.
  • Develop and deploy machine learning models and causal inference techniques at scale, from concept to measurable business impact.
  • Design and oversee experiments and analyses to evaluate product performance and drive continuous improvements.
  • Build and maintain automated, scalable data pipelines to support reporting, data visualization, analytics, and machine learning for internal products and solutions.
  • Lead the design and management of comprehensive machine learning platforms, ensuring robust model development and deployment processes.

 

Skills and Qualifications: (even if you do not meet these skills 100%, we still welcome you to apply) 

  • BSc or MSc in Mathematics, Computer Science, Engineering or related field.
  • Over 3 years of hands-on experience in Data Science, Machine Learning, and Deep Learning.
  • +4 years of demonstrated high proficiency in Python and SQL.
  • Practical expertise in A/B testing and causal inference.
  • Extensive experience with AWS cloud technologies.
  • Must have experience and be proficient in MLOps practices, including model deployment and monitoring.
  • Experience with Docker for containerization and Git for version control.

 

About Us: 

Bold Metrics, established in 2017, is a SaaS solution for retailers and brands to reduce returns, improve sustainability and supercharge their supply chain from the ground up. Using a comprehensive set of machine learning and AI technologies to accurately capture customer body measurements, we help apparel brands unlock the power of body data to meet the demands of today's increasingly personalized world. 

Learn more about us at boldmetrics.com

We strive to create a place to work where we all feel safe, empowered, engaged and inspired. We are an equal opportunity employer committed to offering employment that is based upon personal capabilities and qualifications without discrimination based on race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.  

© 2025 Bold Metrics, Inc.

Apply at boards.greenhouse.io