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To advance the organization by developing algorithms to build models that uncover connections and make better decisions without human intervention.
Role
The role is an inter-disciplinary field that uses scientific methods to extract structured and unstructured data, converting it to insights.
Algorithms, Data Bases and Programming languages are the main ingredients of this role.
Authority
Develop models and train them,
Research on new technologies,
Participate in recruitment process.
Responsibility
Leverage various data science methods such as machine learning, statistical modeling, forecasting, and causal inference to understand user behavior and predict growth of different customer segments,
Research, develop and deploy algorithms to extract meaning and interpretation from data,
Implementation of data projects end-to-end from extracting data to interpretation,
Enhance performance of business with proposing idea with supporting insights,
Create solutions to ease business daily operation and increase profit.
Requirements
Master's degree in Computer science, mathematics, and statistics, Master's is a plus,
Expertise with structured and unstructured data,
Expertise with methods in Machine learning and statistics,
Strong knowledge of SQL and NoSQL,
Fluency in Python, R or similar scripting language,
Experience in distributed data processing systems(Hive, Redshift, Presto, Snowflake, etc),
Experienced in Data warehousing, cleaning, processing and data architecture,
Excellent proficiency in processing data; including Data Mining, Clustering, Data Modeling, and Data Summarization,
Familiarity with Data Exploratory, Predictive analysis, Regression, Text Mining and Qualitative Analysis based on business requirements.
Benefits
It's always a good idea to include the benefits of the job the company will provide such as:
Flexible hours to give you freedom and increase productivity
