* Drive Digital Transformation through Data Science Modelling
* Work closely with C level
About Our Client
Out client is a leading end to end mining software provider.
Job Description
* Lead and mentor a team of data scientists and analysts to develop and implement predictive models and algorithms.
* Collaborate with business stakeholders to identify, define, and prioritize predictive analytics use cases to drive business strategy and decision-making.
* Develop and deploy machine learning models for predictive analytics using advanced techniques in statistical analysis, machine learning, and data mining.
* Design experiments and interpret results to provide actionable insights to improve business operations, enhance customer experience, and drive revenue growth.
* Oversee the end-to-end process of data collection, processing, and feature engineering to ensure high-quality data for modeling.
* Stay current with industry trends, emerging technologies, and best practices in data science and predictive analytics to drive innovation within the company.
The Successful Applicant
* Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related quantitative field.
* 8+ years of experience in predictive analytics, machine learning, and statistical modelling in a business environment.
* Proficiency in programming languages such as Python, R, or similar tools for data analysis and machine learning.
* Strong knowledge of machine learning algorithms, statistical analysis, and data mining techniques.
* Proven experience with data visualization tools and techniques.
* Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
* Leadership experience and the ability to mentor and lead a team of data scientists.
What's on Offer
* Competitive salary and benefits package.
* Opportunities for professional growth and development.
* Collaborative and innovative work environment.