Data Extraction & Analysis
- Lead the mining of structured and unstructured data from various data sources extracting valuable insights and usable information.
- Enhance data collection methodologies to capture comprehensive data for analytic systems and business intelligence.
Machine Learning & Model Development
- Utilize machine learning tools to design and optimize classifiers ensuring accurate and reliable outcomes.
- Develop predictive systems models and machine learning algorithms tailored to address complex business challenges.
Data Preprocessing & Validation
- Oversee data preprocessing cleansing and validation ensuring the integrity and accuracy of data used for analysis.
- Implement best practices in data processing to maintain quality and compliance standards.
Analytical & Statistical Modeling
- Conduct thorough analysis of large datasets to identify trends patterns and actionable insights that support strategic decisionmaking.
- Develop and implement statistical and predictive models ensuring alignment with business goals.
Team Leadership & Collaboration
- Build and lead a highcaliber data science team fostering an environment of collaboration innovation and continuous learning.
- Cultivate a community of knowledgesharing within the team and across departments aligning data initiatives with business objectives.
Reporting & Communication
- Present analysis results and insights to stakeholders in a clear compelling manner translating complex findings into actionable recommendations.
- Collaborate with crossfunctional teams to integrate datadriven solutions into business operations and strategies.
Requirements
- Over 10 years of experience in data science with a proven track record in data analysis machine learning and statistical modeling.
- Solid experience leading data science teams projects and datadriven initiatives within a business environment.
- Proficient in machine learning frameworks data mining and predictive modeling.
- Advanced knowledge of R Python MATLAB and experience with SQL and NoSQL databases.
- Familiarity with data management visualization techniques and a strong understanding of data pipelines and ETL processes.
- Strong organizational and leadership skills with a strategic businessfocused mindset.
- Exceptional analytical skills with the ability to derive insights and drive impact through data.
- Degree in Computer Science Data Science Mathematics or a related field; advanced degree preferred.
- Excellent communication and presentation skills with the ability to convey complex findings clearly to nontechnical stakeholders.
- Strong teambuilding skills fostering a positive and productive community within the data science function.
Over 10 years of experience in data science, with a proven track record in data analysis, machine learning, and statistical modeling. Solid experience leading data science teams, projects, and data-driven initiatives within a business environment. Proficient in machine learning frameworks, data mining, and predictive modeling. Advanced knowledge of R, Python, MATLAB, and experience with SQL and NoSQL databases. Familiarity with data management, visualization techniques, and a strong understanding of data pipelines and ETL processes. Strong organizational and leadership skills with a strategic, business-focused mindset. Exceptional analytical skills, with the ability to derive insights and drive impact through data. Degree in Computer Science, Data Science, Mathematics, or a related field; advanced degree preferred. Excellent communication and presentation skills, with the ability to convey complex findings clearly to non-technical stakeholders. Strong team-building skills, fostering a positive and productive community within the data science function.