Data Science & Machine Learning Specialist

Job Title

Data Science & Machine Learning Specialist

Overview

We are seeking an experienced Data Science & Machine Learning Specialist to develop predictive models, analyze complex datasets, and generate actionable business insights. The ideal candidate will apply advanced analytics, machine learning, and statistical modeling techniques to support data-driven decision-making while collaborating with cross-functional teams.

Key Responsibilities

• Analyze business requirements and datasets to identify appropriate analytical approaches.
• Design, develop, and implement machine learning models, algorithms, and experiments.
• Apply data mining, predictive modeling, prescriptive analytics, statistics, and advanced analytical techniques to uncover trends and patterns.
• Design efficient data loading, augmentation, and analysis processes to improve model accuracy, scalability, and robustness.
• Conduct statistical modeling and predictive analytics to generate business insights.
• Perform exploratory and deep-dive analyses on large structured and unstructured datasets.
• Develop dashboards and visualizations using Power BI to communicate analytical findings.
• Collaborate with architects, project managers, data engineers, software engineers, and data scientists to validate data pipelines and analytical outputs.
• Present analytical findings and recommendations to technical and non-technical stakeholders.
• Stay current with advancements in data science, machine learning, and analytics methodologies to continuously improve analytical capabilities.

Required Qualifications

• Master's degree in a relevant field.
• Minimum 5 years of experience in Data Science, Machine Learning, or a related field.
• Experience with:
  • Data Science
  • Machine Learning
  • Data Analysis
  • Data Mining
  • Algorithms
  • Analytics and Reporting Dashboards
• Strong knowledge of statistical modeling, predictive analytics, and advanced analytical techniques.
• Experience working with large structured and unstructured datasets.
• Experience creating data visualizations using Power BI.
• Ability to communicate analytical results effectively to cross-functional teams and business stakeholders.

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