The company is a prominent multi-level marketing (MLM) company specializing in health supplements, personal care products, and lifestyle goods.

Requirements

A degree in Computer Science, Engineering, or a related field.
Min 1 year experience in Data Scientist role
Proficiency in languages like R and Python for statistical analysis and machine learning, alongside SQL for querying databases.
Strong foundation in applied statistics, understanding key concepts such as statistical tests, probability distributions, regression analysis, and maximum likelihood estimation.
Familiarity with various machine learning algorithms, and enabling the selection of appropriate models for specific tasks.
Ability to preprocess and clean datasets, addressing issues like missing values, inconsistencies, and outliers to ensure data quality.
Practical experience using various data science tools and libraries, such as scikit-learn, TensorFlow, or similar platforms, to implement machine learning and analysis tasks.
Ability to think critically about data in a business context, linking insights to strategic objectives and operational decisions.
Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud.

The company is a prominent multi-level marketing (MLM) company specializing in health supplements, personal care products, and lifestyle goods.

A degree in Computer Science, Engineering, or a related field.
Min 1 year experience in Data Scientist role
Proficiency in languages like R and Python for statistical analysis and machine learning, alongside SQL for querying databases.
Strong foundation in applied statistics, understanding key concepts such as statistical tests, probability distributions, regression analysis, and maximum likelihood estimation.
Familiarity with various machine learning algorithms, and enabling the selection of appropriate models for specific tasks.
Ability to preprocess and clean datasets, addressing issues like missing values, inconsistencies, and outliers to ensure data quality.
Practical experience using various data science tools and libraries, such as scikit-learn, TensorFlow, or similar platforms, to implement machine learning and analysis tasks.
Ability to think critically about data in a business context, linking insights to strategic objectives and operational decisions.
Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud.

Data Scientist