- Location
- Remote - Latin America
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Source
- Greenhouse
Description
At Jungle Scout, we are on a mission to build the best Amazon competitive intelligence tools for Amazon sellers and brands.
Data Scientist
Full-Time Remote | Brazil
About Jungle Scout
We're on a mission to build the best Amazon competitive intelligence tools for sellers and brands worldwide.
The Role
We're looking for a Data Scientist to join our team and help leverage large-scale data to drive growth for businesses on Amazon. You'll develop new data science areas of our product from conception through to scaling in production, working closely with our engineering team to apply expertise in data analysis and machine learning to create solutions that deliver actionable insights to our customers.
You'll have the ability to influence the direction of the product while working on an area that's at the core of our business — one our customers depend on to run their own businesses successfully. You'll also be supported by a dedicated team of ML Engineering/Ops experts.
What You'll Do
- Build real-time machine learning models utilizing very large datasets to deliver scalable solutions to customer problems
- Partner with product managers, engineers, and designers to build and iterate on data-driven features
- Drive data exploration and experimentation to identify new product opportunities using Amazon and e-commerce behavioral data
- Design and run experiments to evaluate the impact of optimizations and communicate results to stakeholders
- Establish scalable, efficient, and automated processes for large-scale data analysis, model development, and inference
- Build scalable pipelines using Python, SQL, and AWS to operationalize insights
- Define metrics, create dashboards, and monitor model performance in production
- Champion best practices in model development, testing, and monitoring
- Write production-ready code
What You Bring
Must-Have
- Experience conceptualizing, building, and deploying algorithms and models to production alongside machine learning engineers
- Strong machine learning best practices with a solid statistical background
- Technical proficiency in Python
- Experience with deep learning frameworks such as TensorFlow and PyTorch
- A strong command of SQL
- Experience translating customer needs into data problems
- Experience presenting clear analysis and conclusions to a wide variety of stakeholders
- Deep curiosity about data and the Amazon domain
- Comfort dealing with ambiguity, making tradeoffs, and adjusting plans as you learn
- Experience working in the software development lifecycle using version control, CI/CD, and multiple environments
Nice-to-Have
- Experience with Spark, SageMaker, S3
- Experience with other AWS services like EC2, CloudWatch, Athena, Postgres, Docker
- Proficiency in Jupyter notebooks
Key Principles We Look For
- #decide — you make sound decisions with the information available
- #scrappy — you find creative ways to move fast with limited resources
- #clarity — you communicate with precision and purpose
Our Team Culture
We're a remote-first team that thrives in a fast-paced, customer-centric environment, constantly pushing the boundaries of what's possible with data and technology. We value flexibility, collaboration, and the drive to solve complex problems. We embrace constraints and the creativity they foster — scrappy by nature with a strong bias toward regular deployments to production.
Note: The one constant in our evolving, dynamic environment is change. Needless to say, you’ll never get bored ;) The responsibilities listed above are our needs today but we are keeping future needs & opportunities in mind when hiring for this position. We value adaptability and a growth mindset in team members. Although it’s not promised, the successful candidate should be prepared for the possibility that their role may evolve over time as our business strategies and priorities change.
What you’ll get:
💥The BEST team. You’ll work alongside the smartest, most passionate, and kindest humans day in and day out making work fun.
💥 A growth culture! We have tons of opportunities for you to elevate your skills and take you to that next step; we are here to help you find the ones that matter most to you through exposure and training.
💥 Ability to make impact! Although it’s a highly collaborative culture, team members are empowered to work autonomously and take extreme ownership of their work. You'll have the opportunity to truly make a difference and impact our customers.
💥 Competitive compensation packages! We structure our compensation packages to reward our team members' contributions to our company's success - you’ll have a bonus tied to performance and will be invested into our long-term success with Equity.
💥 Flexible Time Off. With our generous PTO and recognition of local holidays, escape to the beach, recharge mentally, or use your Volunteer Time Off (VTO) to give back through volunteering.
💥 Comprehensive Health Benefits & Retirement Program. We offer comprehensive healthcare and retirement matching plans for eligible employees.
💥 Paid Parental Leave Policy. Jungle Scout values the importance of family and offers a paid parental leave that provides the support and flexibility you need to embrace this special time in your life. We also offer a ramp-back period for a seamless transition for you and your family.
About Jungle Scout
Jungle Scout is the leading all-in-one platform for selling on Amazon, supporting more than $50 billion in annual Amazon revenue and 10 global Amazon marketplaces. Founded in 2015 as the first Amazon product research tool, Jungle Scout today features a full suite of best-in-class business management solutions and powerful market intelligence resources to help entrepreneurs and brands manage their ecommerce businesses.
The Jungle Scout team is a group of smart, motivated, and fun-loving professionals working hard to help our customers achieve success.
We prioritize Diversity, Equity, and Inclusion
At Jungle Scout, we recognize the value of different experiences, backgrounds and cultures. We hire intentionally, with this in mind.
Jungle Scout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Jungle Scout uses AI-assisted tools to support our recruiting process in areas such as scheduling, organizing application materials, summarizing resumes and interview notes, and helping our recruiters review candidate information more efficiently. These tools assist our recruiters and hiring managers — they do not screen out, rank, or make hiring decisions about candidates. All hiring decisions are made by people.
If you would like more information about how AI is used in our hiring process, would prefer an alternative process, or need to request an accommodation, please contact us at [[email protected]]. Requesting an alternative process will not affect your candidacy.
All offers of employment at Jungle Scout are contingent upon clear results of a comprehensive background check. Background checks will be conducted on all final candidates prior to start date.
