Job Description:

• Utilize statistical analysis and machine learning techniques to develop scalable solutions for predictive modeling and data interpretation.
• Clean, manage, and analyze large datasets to identify trends and patterns that can inform business strategies.
• Collaborate with various teams to define project requirements and deliver bespoke data-driven solutions.
•  Develop clear visualizations and present findings to stakeholders to support data- driven decisions.
• Stay updated with industry trends and advancements in technology and analytics to continuously enhance Avertra’s analytical capabilities.

Skills

Requirements

Needed Competencies:

• Innovative and analytical thinker with a passion for solving complex problems.
• Excellent teamwork skills, with the ability to collaborate effectively across diverse teams.
• High attention to detail and dedication to accuracy.
• Proactive in learning new tools and techniques and applying them to business challenges.

Knowledge, Skills and Abilities:

• Strong analytical skills with a solid foundation in statistical analysis and predictive modeling.
• Ability to effectively communicate complex data insights to non-technical stakeholders.
• Strong organizational and project management skills to manage multiple projects simultaneously.
• Proficiency in using data visualization tools to translate data into actionable insights.

Experience:

• 3+ years of experience in a data science role, with a demonstrated ability to
• develop and apply machine learning models to real business problems.
•  Proficiency in programming languages such as Python or R and experience with SQL.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud platforms (AWS, Azure, or Google Cloud).
• Practical experience in predictive modeling, data processing, and data management.
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Education:

Master’s degree in Data Science, Statistics, Computer Science, or a related field.