Senior Data Scientist

Requirements

• Identify data (structure and unstructured formats) required to meet business requirements;
  
• Create usable data subsets from valuable identified data sources ;
  
• Enhance data collection procedures to include relevant information required for developing the analytics capability;
  
• Validate the integrity of data to be used for analysis;
  
• Preprocess the data to ensure acceptable levels of quality;
  
• Identify appropriate Artificial Intelligence/Machine Learning models;
  
• Fine-tune selected models according to the business requirements;
  
• Develop Machine learning algorithms to forecast future trends and outcomes;
  
• Develop solution code aligned with the selected models;
  
• Develop solution deployment packs;
  
• Deploy fine-tuned models in production;
  
• Select appropriate model features, optimize classifiers and identify patterns enable better predictions;
  
• Propose solutions and strategies to tackle business challenges;
  
• Predictive modelling -build models to forecast future trends and outcomes;
  
• Review the work of the team/others, allocate work and provide guidance and monitoring;
  
• Perform feasibility studies and experiments to determine the resolution of an identified business need;
  
• Identify relevant data sources (large structured and unstructured) to be used for analysis according to business requirements;
  
• Compile project schedule and related plan required to perform tasks;
  
• Participate in the procuring of technology services;
  
• Communicate and collaborate with cross-functional teams and stakeholders;
  
• Present proposed solutions to stakeholders; and
  
• Provide technical guidance on Data Science
  

• Bachelor’s degree in statistics, applied mathematics, or related discipline
  
• An industry certification in Data Science
  
• Minimum six years’ experience in the application of Artificial Intelligence models .
  
• Minimum six years’ hands-on experience with data science tools
  
• Minimum six years’ experience in the use of querying and programming languages such as Python, R, T-SQL, etc.
  
• Minimum six years’ experience in data mining, mathematics and statistical analysis.
  
• Proficiency in cloud platforms and business intelligence technologies
  
• Experience in guiding project teams and ensure solutions are developed and deployed according to approved design
  
• Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
  
• Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., PowerBI that help to visually encode data
  
• Excellent Communication Skills – ability to describe findings to a technical and nontechnical audience.
  
• Strong Software Engineering Background
  
• Problem-solving aptitude