Data Scientist

Há 4 dias

Rio de Janeiro, Brasil Fusemachines Tempo inteiro

**About Fusemachines**

Fusemachines is an artificial intelligence talent and education solutions company dedicated to democratizing AI. Headquartered in New York,US with operations in Dominican Republic, Canada, and Nepal, it is a 300+ company. Fusemachines' AI educational program has made world-class AI education available, accessible and affordable to students around the world. Fusemachines helps organizations identify opportunities where AI can be best utilized to transform and grow their business.

**About the role**:
This is a full-time position (contract)

**Key Responsibilities**:

- Analyze large, complex data sets to identify trends, patterns, and insights.
- Develop predictive models using statistical analysis and machine learning techniques, including Time Series and Churn Propensity models.
- Communicate findings to stakeholders and make recommendations based on data analysis.
- Work closely with the engineering and product teams to integrate data-driven insights into the development process.
- Collaborate with other data scientists to continuously improve our analytical capabilities and processes.
- Stay up-to-date with industry developments and emerging trends in data science.

**Requirements**:

- Bachelor's or Master's degree in computer science, statistics, mathematics, or a related field.
- Minimum of 3 years of experience in data science or a related field.
- Strong analytical and problem-solving skills with an ability to work with large, complex data sets.
- Proficient in statistical analysis and machine learning techniques, such as regression analysis, clustering, decision trees, neural networks, and deep learning.
- Experience in developing Time Series and Churn Propensity models.
- Strong programming skills in Python, R, or other programming languages commonly used in data science.
- Experience in data visualization tools, such as Tableau, PowerBI, or D3.js.
- Excellent communication skills with an ability to clearly articulate technical concepts to both technical and non-technical stakeholders.
- Familiarity with big data technologies, such as Hadoop, Spark, and NoSQL databases is a plus.

**Likely Duration**

3 months
- Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status._

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