
Lead Data Analytics Professional
4 days ago
We are seeking an experienced Senior Data Analyst with a strong background in data analytics, statistical analysis, and machine learning to join our dynamic team. The ideal candidate will have 8-10 years of experience in developing analytical models, implementing data-driven decision-making processes, and driving business growth.
Main Responsibilities:
- Develop and implement advanced data analytics models to enhance business capabilities and drive strategic decisions.
- Collaborate with cross-functional teams to gather and analyze data, transforming it into valuable insights for business strategies.
- Create and validate scorecards for risk assessment using statistical analysis and data modeling techniques.
- Conduct exploratory data analysis and visualization to communicate findings to stakeholders effectively.
- Utilize programming skills in Python for data management, model development, and automation of analytical processes.
- Monitor and evaluate model performance, recommending adjustments and improvements based on analytics and business requirements.
- Stay updated with the latest advancements in data science, machine learning, and analytics to continuously improve methodologies and practices.
- Mentor and guide junior team members, fostering an environment of learning and growth.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
- 8-10 years of experience in data science, with a focus on machine learning and analytics.
- Proficiency in Python, with experience in data manipulation and modeling libraries (e.g., Pandas, NumPy, Scikit-learn).
- Strong understanding of statistical techniques and experience in scorecard development.
- Experience in fraud detection methodologies and risk assessment.
- Excellent analytical and problem-solving skills, with the ability to work with large datasets and complex algorithms.
- Strong communication skills, with the ability to present technical findings to non-technical audiences.
Benefits:
- Opportunity to work with a dynamic team and contribute to business growth.
- Chance to develop and implement advanced data analytics models.
- Professional development opportunities, including training and mentorship.
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