Senior Data Scientist
Senior Data Scientist
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1 Vacancy
Job Description
Minimum Requirements:
- Matric (Grade 12)
- 57 years of experience manipulating data sets and building statistical models.
- Having a degree in one of the following fields Mathematics Computer Science or another quantitative field is advantageous.
- Strong problemsolving skills with an emphasis on product development.
- Excellent written and verbal communication skills for coordinating across teams.
- Proven track record of implementing ML systems using TensorFlow and
PyTorch. - Strong experience
- Using statistical computer languages (R Python SQL etc.) to manipulate data and draw insights from large data sets.
- Querying databases/datasets
- Statistical and data mining techniques: GLM/Regression Rando Forest Boosting Trees text mining social network analysis etc.
- Creating and using advanced machine learning algorithms and statistics: regression simulation scenario analysis modeling clustering decision trees neural networks etc.
- Visualizing/presenting data for stakeholders using: D3 ggplot Kibana Olik Sisense etc.
- A variety of machine learning techniques (clustering decision tree learning artificial neural networks etc.) and their realworld advantages/drawbacks.
- Advanced statistical techniques and concepts (regression properties of distributions statistical tests and proper usage etc.) and experience with applications.
Responsibilities:
- Work with stakeholders throughout the organization to identify
opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization
and improvement of product development marketing techniques and
business strategies. - Assess the effectiveness and accuracy of new data sources and data
gathering techniques. - Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences
revenue generation ad targeting and other business outcomes. - Develop company A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and
monitor outcomes. - Develop processes and tools to monitor and analyze model performance
and data accuracy.
Employment Type
Full Time
