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Lead Data Innovator
2 weeks ago
We are seeking a skilled data science professional to join our team and contribute to the development of innovative data-driven solutions. Our company is undergoing a digital transformation, and we require a talented individual with expertise in data analytics, machine learning, and IoT applications.
Key Responsibilities:- Develop predictive models using statistical techniques such as regression, boosting trees, random forests, and neural networks.
- Analyze large datasets using data extraction, analysis, and visualization tools such as R, Python, SAS, Rapidminer, and PowerBI.
- Work closely with cross-functional teams to derive deep industry knowledge across various sectors and develop strategic business plans.
- Communicate effectively with stakeholders to promote the use of data science in solving complex business problems.
- Bachelor's or Master's degree in Data Science, Data Analytics, Applied Mathematics, Statistics, Computer Science, or related fields.
- Proven experience in developing predictive and deep data analytics solutions.
- Familiarity with modern statistical modeling methodologies, machine learning algorithms, and optimization techniques.
- Proficiency in data analytics and visualization platforms, cloud computing, and data engineering technologies.
- Experience in the specialty chemicals sector or similar industries.
- Aptitude to learn new digital tools and technologies.
- Knowledge in quantitative modeling tools and statistical analysis.
- Opportunity to work on high-impact projects that drive business growth and innovation.
- Collaborative and dynamic work environment.
- Professional development opportunities and training programs.