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Hybrid Data Scientist - LATAM Data Scientist - LATAM

Motum  ·  nan, · Hybrid

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About the job

Fully remote for LATAM!

PLEASE BE AWARE THAT FOR THIS ROLE WE ARE EXCLUSIVELY CONSIDERING APPLICATIONS FROM INDIVIDUALS CURRENTLY RESIDING IN LATAM. WE APPRECIATE YOUR UNDERSTANDING OF THIS REQUIREMENT DURING THE APPLICATION PROCESS.

️️️ONLY ENGLISH RESUMES WILL BE REVIEWED️ ️️

DISCLAIMER: By joining our talent pool, you consent to being considered for current and future roles that align with your experience. Specific duties may vary depending on the company.

APPLICATION PROCESS: Our recruitment team reviews each application carefully to match your skill set with available opportunities. If a suitable role arises, we will reach out to you promptly.

About Motum

Motum specializes in creating high-performing, fully remote teams for U.S.-based companies, connecting talented individuals across the world with opportunities for growth and development. Join us in providing meaningful work and competitive compensation in a dynamic, global setting.

About The Role

We are seeking talented Data Scientists for our U.S. clients in need of professionals skilled in data analysis, predictive modeling, and business insights. This talent pool is ideal for those passionate about translating data into actionable insights.

Your Responsibilities

Data Analysis & Modeling:

  • Analyze large datasets to uncover trends, patterns, and insights that drive strategic decision-making.
  • Develop predictive models using machine learning algorithms in Python or R.
  • Create data visualizations with tools like Tableau, Power BI, or Matplotlib to effectively communicate findings.


Collaboration & Communication:

  • Work with cross-functional teams to understand business needs and translate them into data-driven solutions.
  • Present findings and actionable insights to stakeholders in a clear and concise manner.


Quality Assurance & Deployment:

  • Oversee the software development lifecycle, including testing and deployment using CI/CD pipelines.
  • Conduct performance optimization and debugging, maintaining system reliability.
  • Work with cloud services such as AWS, Azure, or Google Cloud for efficient system deployment.


Requirements & Qualifications

  • 3+ years in data science, with a strong understanding of statistical modeling, machine learning, and data analysis.
  • Proficiency in SQL, Python, or R, and experience with visualization tools.
  • Excellent analytical and problem-solving skills.
  • Fluency in English required.


Additional Information:

  • Working Hours: 9am-5pm across different US time zones (depending on clients location)
  • Full-Time: 40 hours per week, Mon-Fri
  • Monthly Salary Range: depending on experience and type of role
  • Type of Contract: Independent contractor


Benefits:

  • 100% remote role!
  • Compensation in USD
  • ️️️Paid Time Off to be determined (only for full-time roles)
  • Grow along a top US company and shape its future
  • Career advancement opportunities

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