Empleos de data scientist en Desde casa

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Each position we offer is a gateway to new possibilities, and each candidate is the protagonist of their own professional success story. From technology innovation to strategic business leaders, we are here to match unique skills with extraordinary opportunities.

Discover the potential of your career with us! Explore our job opportunities and take the first step towards an exciting professional future

Sr. Data Scientist

Duties and Responsibilities:

• Develop analytical models and solutions / production-ready algorithms that solve real business problems, taking into account business needs and technology/operations landscape; lead interaction with internal stakeholders and technology on specific projects and initiatives.
• Become a domain expert! Apply data science and machine learning techniques to derive business value from the full range of internal and external data sets in a cloud environment.
• Translate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementation.
• Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in.
• Identify trends and opportunities to drive innovation
• Take on ownership of data science projects that drive measurable value for the business

Basic Qualifications

• 3-5 years’ post-secondary education or relevant work experience

Additional Qualifications And Skills Other Required Qualifications:

• Advanced degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
• 2-3 years’ experience in developing machine learning models with a track record of creating meaningful business impact and working with multiple stakeholders.
• 3-5 years’ experience with Python and SQL.
• Experience with cloud computing platforms and tools (prefer AWS, but open to GCP or other).
• Expertise in multivariate statistical modeling (e.g. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.)
• Experience with translating business use cases into real work experiments, models and insights.

Benefits and Perks

• Legal benefits
• 100% Remote Work Scheme!
• Additional days off after 3 months
• Major Medical Expenses Insurance including direct family members
• Funeral Expenses Insurance.
• Loyalty bonus for an additional 15 days
• Flexible working hours
• 4% Savings Fund
• Profit Sharing.
• Training Programs
• English classes
• Work tool

Job Type: Full-time

Pay: $80,000.00 - $85,000.00 per month

Experience:

• Data: 5 years (Required)
• AWS: 3 years (Required)
• ML Models: 3 years (Required)
• Python: 3 years (Required)

Language:

• Inglés (Required)

Work Location: Remote