cape-town-lc_694/ ESSENTIALS MSc/PhD in (Bio)Statistics OR Data Science , 10 years working experience designing & executing study designs and doing statistical analyses for observational & experimental in-house clinical health expertise, data analytics, statistical and modelling expertise, our client develops leading the team in the design of studies and statistical analyses, to form part of the study protocol data scientists. REQUIREMENTS MSc/PhD in (Bio)Statistics OR Data Science 10 years working experience in
and relationships within the data. - Apply statistical techniques and data visualisation methods to technologies in data analysis. - Expand knowledge of statistical analysis techniques, data modelling, and data degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data Analytics/Science). -
and relationships within the data. - Apply statistical techniques and data visualisation methods to technologies in data analysis. - Expand knowledge of statistical analysis techniques, data modelling, and data degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data Analytics/Science). -
products and services
manufactured against quality requirements. Inspect statistical process charts to evaluate equipment capability correct where necessary. Plot engineering related statistical process charts and use of barometer of equipment
Data Analysis: Analyze large datasets using statistical techniques and data visualization tools to uncover Business Administration, Marketing, Economics, Statistics, or related field. Master's degree preferred wholesale and distribution industry. Proficiency in statistical analysis tools such as Qlik Sense or Power BI
such as APQP, PPAP, FMEA, Control Plans, and Statistical Process Control (SPC).
Ad hoc analyses. Manual recalculation of some statistics. Work in collaboration with more senior members Ad hoc analyses. Manual recalculation of some statistics. Other key relationships Global Investment Committee B.Com., B.Bus.Sci, B.Sc. (Maths, Accounting, Statistics, Finance, Engineering, Physics) or equivalent
industries
Experience in mathematic modelling, statistic analysts and data manipulation
Excellent
industries
Experience in mathematic modelling, statistic analysts and data manipulation
Excellent