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About the Role
This role involves analyzing complex business problems and translating them into data-driven solutions and actionable insights using machine learning, statistical modeling, and predictive analytics.
Responsibilities
- Analyze complex business problems and translate business requirements into data-driven solutions and actionable insights.
- Develop, implement, and maintain machine learning models, statistical models, and predictive analytics solutions.
- Collect, clean, transform, and analyze large datasets from multiple sources to ensure data quality and accuracy.
- Apply statistical analysis, data mining, and advanced analytical techniques to identify trends, patterns, and business opportunities.
- Design and develop data science solutions using programming languages such as Python, R, and SQL.
- Collaborate with clients and cross-functional stakeholders to understand business needs and recommend appropriate data science strategies.
- Build, validate, and optimize machine learning models to improve accuracy, efficiency, and business performance.
- Develop data visualizations, dashboards, and analytical reports to communicate findings and recommendations to stakeholders.
- Support the deployment, monitoring, and continuous improvement of data science models and analytical solutions.
- Prepare technical documentation, present project findings, and provide expert consultation on data science methodologies, best practices, and emerging technologies.
Requirements
- Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
- Minimum 4 years of relevant experience in data science, machine learning, advanced analytics, or a similar role.
- Proficiency in Python or R, SQL, and relevant data science libraries and frameworks, such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
- Strong knowledge of statistical modeling, machine learning algorithms, data mining, data visualization, and predictive analytics techniques.
- Excellent analytical, problem-solving, communication, and stakeholder management skills, with the ability to translate complex technical findings into practical business recommendations.
Skills
- Python
- R
- SQL
- Pandas
- Scikit-learn
- TensorFlow
- PyTorch
- Statistical modeling
- Machine learning algorithms
- Data mining
- Data visualization
- Predictive analytics
Experience Level
- Minimum 4 years of relevant experience
Education Level
- Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline