Remotery

Data Scientist

Posted May 21

This is a fully remote position, open to applicants in Brazil.

📋 Description

• A candidate who takes personal responsibility for the team's performance and rejects the mindset of "that’s not my problem."

• Technical Expertise (Hard Skills): Extensive knowledge of Python/PySpark.

• Hands-on experience with cloud services (AWS or Azure).

• Skilled in recommendation algorithms (Collaborative Filtering, Content-based, Reinforcement Learning for personalization).

• Capability to handle real-time models and substantial data sets.

• Familiarity with model validation metrics.

• Understanding of machine learning, statistics, and predictive modeling.

• A business-oriented perspective with an emphasis on impact and data-driven decision-making.

• Simplicity and Scalability: Committed to developing solutions that are easy to maintain and scalable across the organization.

• Long-term Vision: A professional who avoids ethical or technical shortcuts that could lead to significant future challenges.


⛳️ Requirements

• Completion of a Bachelor's degree.

• Experience with CRM systems.

• A candidate who takes personal responsibility for the team's performance and rejects the mindset of "that’s not my problem."

• Extensive knowledge of Python/PySpark.

• Hands-on experience with cloud services (AWS or Azure).

• Skilled in recommendation algorithms (Collaborative Filtering, Content-based, Reinforcement Learning for personalization).

• Capability to handle real-time models and substantial data sets.

• Familiarity with model validation metrics.

• Understanding of machine learning, statistics, and predictive modeling.

• A business-oriented perspective with an emphasis on impact and data-driven decision-making.

• Simplicity and Scalability: Committed to developing solutions that are easy to maintain and scalable across the organization.

• Long-term Vision: A professional who avoids ethical or technical shortcuts that could lead to significant future challenges.

• Experience with experimentation and large-scale A/B testing (preferred).

• Cross-functional collaboration: Previous experience working with Machine Learning Engineers (MLEs) on model deployment (preferred).

• Familiarity with Multi-armed Bandits (preferred).

• Data Storytelling: Ability to convert complex technical metrics into business insights for Brand and Product stakeholders (preferred).

• Cost Awareness: A mindset focused on optimizing cloud processing expenses (managing resources with discipline).


🏝️ Benefits

• Enhanced health coverage through Medical Plan, Dental Plan, Telemedicine, Life Insurance, and Gympass.

• Mental health assistance via Dasa Telemedicine.

• Discounted access to our products (employees can buy products at exclusive rates).

• More enjoyable year-end celebrations with family — we provide a Christmas hamper and gifts for employees with children.

• Financial security with our private pension plan.

• Option to select either a Food Allowance or Meal Allowance to assist with groceries or dining out.

• Commuting allowance is available — refer to the job posting for the applicable model.

• Opportunity to earn an attendance bonus, effectively a 14th salary for employees (an additional annual paycheck).

• Daycare or nanny support.

• Company profit-sharing.

People also viewed

Arch Global Services (Philippines) Inc.38 min ago

Data Scientist – Mid

PH flagPhilippines OnlyFull-timeData Scientist
ApplyView job
Outreach38 min ago

Senior Data Scientist

IN flagIndia OnlyFull-timeData Scientist
ApplyView job
AVENCORE12 hours ago

Data Scientist – Consulting and Industry

FR flagFrance OnlyFull-timeData Scientist
ApplyView job
Konfío12 hours ago

Senior Data Scientist

MX flagMexico OnlyFull-timeData Scientist
ApplyView job
Smadex13 hours ago

Senior Data Scientist – Programmatic

ES flagSpain OnlyFull-timeData Scientist
ApplyView job
ShipBob, Inc.13 hours ago

Data Scientist III, Forecasting

IN flagIndia OnlyFull-timeData Scientist
ApplyView job

Never miss a great job!

Get handpicked remote jobs straight to your inbox weekly.

Trusted by 7,400+ designers