Senior Data Scientist and Modelling analyst: Sports
|Client||Digital Outsource Services|
|Location||Century City, Western Cape, South Africa|
This role requires a motivated, energetic, inquisitive and highly numerate sports fan, possessing a genuine love of numbers and the value
that can be derived from interrogating and manipulating them. The successful candidate will be a proud Excel / VBA / SQL / R / etc geek,
ideally already well versed in the dark arts of data science (or who will take great pleasure in learning fast) and impatient to apply those skills
to analyzing and working with sports data. Add in responsibility for scenario modelling our company’s complex global business and this is a
dream role for anybody who loves the intellectual stimulation of using their numeracy to solve significant commercial challenges.
|Job Functions||Analytics,Data Management,Statistics|
Key requirements of the role:
Design and development of predictive analytics models for commercial benefit (primarily in the sports-related areas of our
business), followed by the integration and implementation of the outcomes of such models into relevant business processes
Further development and enhancement of existing Excel + VBA model of the business for the projection and analysis of scenarios
for market entry and expansion, marketing campaign initiation and extension, capital and resource allocation, etc., etc.
Other duties will include, but not limited to:
Analysis of data from various sources in order to ensure that the business acts proactively on the information at its disposal
Obtaining, manipulating and analyzing business data to derive model input and assumptions
Hypothesizing, testing and comparing projected scenarios for the growth of existing business / development of new markets / etc.
Highlighting potentially unprofitable scenarios in order to determine remedial action where necessary / possible
Monitoring of subsequent actual outcomes relative to model assumptions in order to determine likelihood of goal achievement
(particularly in respect of new markets) and / or need for changes in tactics and strategy
The ideal candidate will have the following qualifications, skills and experience:
Several years of experience solving significant problems in data science / predictive analytics / actuarial modelling / etc.
Completion of (or meaningful progress in) post-graduate studies in fields with substantial bias towards computational numeracy
(e.g. actuarial science, data science, statistics, computer science, mathematics, engineering, etc.)
Demonstrable expertise in and several years of hands-on experience with relevant tools (SQL / Excel / VBA / SQL / R etc.)
Clear track record of deriving commercial value, with solid verbal and written communication skills
Good understanding of a wide range of sports and how their nuances might be reflected in the analysis of relevant data
We will also consider candidates that meet all of the following minimum requirements:
4+ years of relevant work experience (e.g. actuarial modelling / data science / predictive analytics / etc.) in areas of significant
commercial value, regardless of academic background
Personal characteristics and competencies required:
Pro-active self-educator with strong desire to continually improve knowledge and skills through self-driven research and
Highly self-motivated, comfortable taking initiative and at times working with minimal instruction (especially when breaking new
Resourceful, able to solve problems and implement solutions where others aren’t always able to assist
Logical and analytical, able to design and build scalable and replicable systems that balance short-term needs with long-term stability
Excellent time-management and planning skills, unflappable under deadline and stress
Excellent interpersonal & communication skills, particularly when working with others on different continents / in different time zones
Adaptive and flexible, comfortable changing direction when the business requires
Commercial, always focused on adding long-term value
Enthusiastic sports fan, keen to seek out the value that can be derived from deep understanding of sports data
Execution of the duties of this position will require access to sensitive customer and financial information, and accordingly requires
supreme levels of trust and honesty. Credit and criminal record checks will be conducted for all candidates.
Qualifications and experience prerequisites stated above are inherent job requirements. Qualification and experience verification
checks will be conducted for all candidates.
By applying for this role, and supplying the necessary details, you hereby grant us permission to conduct these checks.
All checks will be conducted confidentially and solely for the purposes of verification.
We receive numerous applications for the many vacancies that we are currently recruiting for. We wish it were otherwise, but
unfortunately we aren’t always able to inform unsuccessful candidates timeously. Please deem your application as unsuccessful if
you do not hear from us within two weeks of applying.
|Job Closing Date||31/07/2017|