The Data Statistician plays a critical role in supporting research analytics and publication-driven projects at Aristocrat Research. The position involves designing statistical models analyzing datasets performing hypothesis testing building predictive frameworks and generating insights for theses dissertations industry research and academic publications.
The statistician will collaborate with research consultants analysts and manuscript writers to ensure the accuracy reliability and scientific validity of all data-driven outputs. This role requires strong analytical expertise attention to detail and the ability to interpret results clearly for academic and non-academic audiences.
Collect clean structure and analyze data for research projects.
Perform descriptive inferential and multivariate statistical analyses.
Apply advanced methods: regression models ANOVA SEM EFA/CFA clustering time-series forecasting etc.
Develop predictive models using statistical and machine learning techniques.
Visualize statistical results using charts dashboards and infographics.
Create reproducible code/scripts (SPSS syntax R scripts Python notebooks).
Validate datasets ensure accuracy identify errors and perform consistency checks.
Assist in writing statistical methodology sections for research papers and theses.
Interpret statistical outputs and translate them into academic findings.
Support the publication team with journal-compliant statistical reporting.
Collaborate with multidisciplinary teams on quantitative research strategies.
Requirements
Masters degree in Statistics Data Science Applied Mathematics Economics Engineering or related fields.
Strong proficiency in at least one statistical tool: SPSS R Python AMOS Stata Minitab.
Excellent understanding of statistical theories and applied techniques.
Experience with large datasets data cleaning and data management.
Ability to create clean well-documented statistical reports.
Strong mathematical reasoning and analytical skills.
Experience with visualization tools: Tableau Power BI Matplotlib Seaborn (optional).
Strong communication skills to explain statistical results clearly.
Benefits
Work on high-impact research and analytical projects for global clients.
Opportunity to co-author research papers involving advanced analytics.
Flexible hybrid/remote work options.
Skill-building through continuous training on statistical and ML tools.
Competitive salary with performance bonuses.
Exposure to multidisciplinary research: engineering social sciences medicine management AI.
Clear career growth path to Senior Statistician / Data Scientist.
Required Skills:
- Bachelors degree in any discipline (Masters preferred). - Strong skills in Microsoft Office and reference formatting. - Excellent written and verbal communication. - Familiarity with academic publishing workflows. - Ability to manage deadlines and coordinate across teams.
Required Education:
Bachelors degree in any discipline (Masters preferred)
The Data Statistician plays a critical role in supporting research analytics and publication-driven projects at Aristocrat Research. The position involves designing statistical models analyzing datasets performing hypothesis testing building predictive frameworks and generating insights for theses d...
The Data Statistician plays a critical role in supporting research analytics and publication-driven projects at Aristocrat Research. The position involves designing statistical models analyzing datasets performing hypothesis testing building predictive frameworks and generating insights for theses dissertations industry research and academic publications.
The statistician will collaborate with research consultants analysts and manuscript writers to ensure the accuracy reliability and scientific validity of all data-driven outputs. This role requires strong analytical expertise attention to detail and the ability to interpret results clearly for academic and non-academic audiences.
Collect clean structure and analyze data for research projects.
Perform descriptive inferential and multivariate statistical analyses.
Apply advanced methods: regression models ANOVA SEM EFA/CFA clustering time-series forecasting etc.
Develop predictive models using statistical and machine learning techniques.
Visualize statistical results using charts dashboards and infographics.
Create reproducible code/scripts (SPSS syntax R scripts Python notebooks).
Validate datasets ensure accuracy identify errors and perform consistency checks.
Assist in writing statistical methodology sections for research papers and theses.
Interpret statistical outputs and translate them into academic findings.
Support the publication team with journal-compliant statistical reporting.
Collaborate with multidisciplinary teams on quantitative research strategies.
Requirements
Masters degree in Statistics Data Science Applied Mathematics Economics Engineering or related fields.
Strong proficiency in at least one statistical tool: SPSS R Python AMOS Stata Minitab.
Excellent understanding of statistical theories and applied techniques.
Experience with large datasets data cleaning and data management.
Ability to create clean well-documented statistical reports.
Strong mathematical reasoning and analytical skills.
Experience with visualization tools: Tableau Power BI Matplotlib Seaborn (optional).
Strong communication skills to explain statistical results clearly.
Benefits
Work on high-impact research and analytical projects for global clients.
Opportunity to co-author research papers involving advanced analytics.
Flexible hybrid/remote work options.
Skill-building through continuous training on statistical and ML tools.
Competitive salary with performance bonuses.
Exposure to multidisciplinary research: engineering social sciences medicine management AI.
Clear career growth path to Senior Statistician / Data Scientist.
Required Skills:
- Bachelors degree in any discipline (Masters preferred). - Strong skills in Microsoft Office and reference formatting. - Excellent written and verbal communication. - Familiarity with academic publishing workflows. - Ability to manage deadlines and coordinate across teams.
Required Education:
Bachelors degree in any discipline (Masters preferred)
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