At Aristocrat, We are on a mission to find the best talent potential individuals in thirst for innovation & Knowledge evolution.
Career in Aristocrat Involves remote modality and several cutting edge stipend linked corporate certification in house programs.
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As part of our onboarding process, we request that you complete a 20-day unpaid individual development focused team induction period prior to commencing your employment..
We are seeking a highly skilled and experienced Predictive Analytics Data Lead to join our team. The successful candidate will be responsible for analyzing complex data sets, developing predictive models, and providing actionable insights that drive business decisions.
Responsibilities:
- Lead a team of data analysts in developing predictive models and data-driven solutions.
- Analyze complex data sets and identify trends and patterns that can be used to inform business decisions.
- Develop predictive models and statistical algorithms to support forecasting, optimization, and other predictive analytics initiatives.
- Collaborate with cross-functional teams to develop and implement data-driven solutions that improve business performance.
- Communicate findings and recommendations to stakeholders, including executive leadership, in a clear and concise manner.
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Requirements
- Bachelors or Masters degree in data science, statistics, mathematics, or a related field.
- Minimum of 5 years of experience in predictive analytics, data modeling, and statistical analysis.
- Strong knowledge of statistical modeling techniques, machine learning algorithms, and data visualization tools.
- Experience with SQL, Python, R, and other programming languages commonly used in data science.
- Strong leadership skills and experience leading a team of data analysts.
- Excellent communication skills, with the ability to clearly and effectively communicate complex data insights to non-technical stakeholders.
Benefits
Extreme Learning and training environment.
Continuous growth every 3 months financially & in Responsibilities.
Compensation based on contribution value.
Predictive Analytics, Data Lead, Data Modeling, Statistical Analysis, Machine Learning, SQL, Python, R, Data Visualization, Leadership, Communication.