Data Scientist - Cape Town Verfied Gold Badge

Salary Negotiable Cape Town, Western Cape Cape Town, Western Cape more than 14 days ago 22-06-2017 8:07:07 AM
10-07-2017 7:59:41 AM

Location: CBD, Cape Town
Salary: Negotiable

Our client seeks a Data Scientist for a permanent role based in Gardens, Cape Town.
They are looking for an exceptional Data Scientist to synthesise and leverage their massive dataset of web analytics and demographics to enhance their conferencing, awards and publications

This is a unique opportunity to join a new, multidisciplinary team of creative and passionate individuals destined to change the face of the media industry. The client is focused on the company’s agenda, and work on high-impact projects utilising big data analytics and machine learning to improve their customer reach.

Duties:
Advocate, evangelise and build data-fuelled products that help our customers reach. You’ll dig in and become an expert on our media datasets. You will provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables.
You will work with cross-functional team members to identify and prioritise actionable, high-impact insights across a variety of core business areas. You will lead applied analytics initiatives that are leveraged across the breadth of our solutions for industry. You will research, design, implement and validate cutting-edge algorithms to analyse diverse sources of data to achieve targeted outcomes.
As our data scientist, you will provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organisation.

Requirements:
Ph.D. or Master’s Degree in operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline.
Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimisation algorithms.
2-4 years of experience delivering world-class data science outcomes, solving complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills.
Passionate about asking and answering questions in large datasets, and able to communicate that passion to product managers and engineers.
Keen desire to solve business problems, and live to find patterns and insights within structured and unstructured data
Propose analytics strategies and solutions that challenge and expand the thinking of everyone around you.
Expert in analysing large, complex, multi-dimensional datasets with a variety of tools
Accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS.
Experience with BI tools such as Tableau and Microstrategy.
Comfortable with relational databases and Hadoop-based data mining frameworks.
Familiar with SQL, Python, Java and C/C++.
You desire a fast paced, test-driven, collaborative and iterative engineering environment. You love learning, data, scale and agility. You excel at making complex concepts simple and easy to understand by those around you. You’re driven to show the world the power of applied analytics.