Data Scientist - Contract

Our client a Global Tech firm is seeking a Data Scientist to join their team in Cape town on a contract basis. They offer stability, growth, attractive salary, exposure and an excellent working environment.

As a Data Scientist, you'll be responsible for using data mining techniques to uncover new insights into the way our customers interact with our products. You will be working closely with engineers and designers to ensure that the right questions are being asked of our existing customer data. You will also work closely with business leaders in order to understand how we can use this insight to inform product decisions, sales strategy or marketing efforts.

Requirements

• Work closely with business to identify issues and use data to propose solutions for effective decision making
• Build algorithms and design experiments to merge, manage, interrogate, and extract data to supply tailored reports to colleagues, customers or the wider organisation
• Use machine learning tools and statistical techniques to produce solutions to problems
• Test data mining models to select the most appropriate ones for use on a project
• Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
• Create clear reports that tell compelling stories about how customers or clients work with the business
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Conduct research from which you'll develop prototypes and proof of concepts
• Establish new systems and processes and look for opportunities to improve the flow of data
• Evaluate new and emerging technologies
• Represent the company at external events and conferences
• Build and develop relationships with clients
• Identify valuable data sources and automate collection processes
• Undertake pre-processing of structured and unstructured data
• Analyse large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modelling.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyse 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 modelling 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 analyse model performance and data accuracy.

Qualifications

• 5-7 years of experience manipulating data sets and building statistical models
• Strong problem-solving skills with an emphasis on product development
• Experience using statistical computer languages to manipulate data and draw insights from large data sets
• Experience working with and creating data architectures
• 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
• Knowledge and experience in statistical and data mining techniques
• Experience querying databases and using statistical computer languages
• Experience using web services
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience analyzing data from 3rd party providers
• Experience with distributed data/computing tools
• Experience in visualizing/presenting data for stakeholders
• A degree, Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, with the following degree subjects:
• Computer science
• Data science/computer and data science
• Engineering
• Mathematics and operational research
• Physics
• Statistics.