It's fun to work in a company where people truly BELIEVE in what they are doing!
- We're committed to bringing passion and customer focus to the business._
- Data Scientist
- Location: Mexico City
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise.
Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision.
Where no possibility is written off, only challenged to get better.
We believe that a true Fractalite is the one who empowers imagination with intelligence.
Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.
Please visit- Fractal | Intelligence for Imagination
- for more information about Fractal.
Role Overview
In this role, you will utilize expert analysis and advanced techniques to transform complex data into clear insights, thereby driving strategic decision-making and process improvements.
This role entails the mastery of statistical methods, machine learning algorithms, and programming to develop models that**Responsibilities**:
- Data Collection and Preparation-
- Exploratory Data Analysis (EDA)-
- Statistical Analysis-
- Machine Learning-
- Data Visualization-
- Model Deployment-
- Data Security and Compliance**Qualifications**:
- Bachelor's or higher degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related quantitative discipline.-
- Proficiency in programming languages such as Python or R.-
- Strong knowledge of data analysis and visualization tools (e.g., pandas, matplotlib, seaborn, Tableau, etc.
).-
- Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).-
- Solid understanding of statistics and data modeling.-
- Excellent problem-solving and critical-thinking skills.-
- Strong communication skills to present findings to non-technical stakeholders.-
- Experience with big data technologies (e.g., Hadoop, Spark) may be a plus.-
- Industry-specific knowledge can be advantageous, depending on the role (e.g., healthcare, finance, e-commerce).If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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