Data Scientist - Remote

INDI Staffing Services; São Paulo; Híbrido; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

Join a leading company as a Data Scientist, driving innovation through data products and machine learning applications. Leverage your 4+ years of expertise in a collaborative environment that values creativity and fosters personal growth. Enjoy flexible work arrangements and competitive compensation tailored to your goals.

Serviços

Flexible Work Arrangements

Tailored Compensation

Access to Cutting-edge Tools

Well-being Leave Policies

Mentorship and Growth Opportunities

Qualificações

• At least 4 years of experience in data science and machine learning.
• Proficiency in Python or R for data science applications.
• Experience with SQL databases.

Responsabilidades

• Develop and maintain data products using advanced techniques.
• Collaborate with product owners to create impactful services.
• Design and serve machine-learning applications.

Conhecimentos

Data Science

Machine Learning

Python

R

SQL

API Integration

Version Control

English Communication

Descrição da oferta de emprego

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At INDI, we're passionate about empowering individuals and businesses worldwide. Our cutting-edge recruiters connect leading companies with top talent, fostering a dynamic environment where innovation thrives. Join us in shaping the future of work.

About the Role:

Step into a world of data-driven innovation as our next Data Scientist, where you'll be orchestrating the symphony of cutting-edge data products. This role is not just about crunching numbers; it's about architecting the very foundation of how we deliver state-of-the-art solutions to industry giants and innovative startups alike. You will be unraveling complex business requirements, sculpting sophisticated machine-learning models, and weaving data magic to create actionable insights. Armed with your profound knowledge of data science and machine learning, your role is to inject creativity and maintain superior standards in our energetic, tech-driven sphere. If you're passionate about building solutions that push the boundaries of what's possible with data, this is the place for you.

What will I do?

Data Product Development: You will develop, deliver, and maintain data products using cutting-edge data science and machine learning techniques.

Collaborative Innovation: Your role is crucial in collaborating with product owners to develop impactful data products and services.

ML Application Mastery: You'll design and serve machine-learning and deep-learning applications, pushing the boundaries of AI.

Experimental Design: You'll conduct experiments with solid research methods and proper statistical analysis, ensuring data-driven decision making.

Data Storytelling: You'll tell compelling stories with data, translating complex insights for business-oriented people.

Required skills and qualifications:

Data Science Expertise: At least 4 years of experience wielding data science and machine learning to create powerful, scalable solutions.

API Integration: Hands-on experience deploying machine learning models through REST APIs.

Programming Proficiency: Mastery in Python or R oriented to Data Science.

Database Dynamo: Experience with SQL databases for in-depth data analysis.

Version Control Virtuoso: Familiarity with version control systems, such as Git.

Language Luminary: Advanced level of English for clear communication in our global environment.

Flexibility: Choose where and how you work for enhanced creativity and innovation.

Tailored Compensation: Personalize your earnings to suit your financial goals.

Tech-Driven Tools: Access cutting-edge resources for seamless collaboration and productivity.

Autonomous Workflow: Take control of your schedule to achieve work-life balance.

Well-being: Enjoy generous leave policies for rest and rejuvenation.

Diversity & Inclusion: Thrive in our innovative and multicultural work environment.

Collaboration: Engage with the global Top 1% of talent for collective growth.

Development: Access mentorship and growth opportunities for continuous advancement.

If you are interested in being part of a team composed of the world's Top 1% of tech talent and working 100% goal-oriented in an innovative environment, but with the structure and resources of a multinational market leader, do not hesitate to apply!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting

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