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10400
/month
Average US Salary
3250
/month
Average LatAm Salary
69
%
Potential Savings
Data Scientist
Job Description
Data Scientist
Tasks:
Collecting large sets of structured and unstructured data from various sources.
Developing algorithms and predictive models to analyze data.
Using data to identify opportunities for business improvement.
Cleaning and validating data to ensure accuracy, completeness, and uniformity.
Interpreting and analyzing data results using statistical tools and techniques.
Presenting findings and translating data-driven insights into decisions and actions.
Creating clear reports that tell compelling stories about how customers or clients work with the business.
Building machine learning models and systems and performing machine learning tests and experiments.
Collaborating with engineering and product development teams.
Staying updated with the latest technology and techniques in the field of data science.
Data Scientist
Qualifications:
Strong problem-solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
A degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. Advanced degree is preferred.
Experience with data visualization tools, such as GGPlot, d3.js, Tableau, etc.
Experience with databases and data warehousing solutions (SQL, NoSQL, Hadoop, etc.).
Practical experience in deploying machine learning algorithms and models into production environments.
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