Executive Director

2 days ago

Hyderabad Warangal Nizamabad, India beBeeData Full time US$ 1,50,000 - US$ 2,00,000

Job Title: Executive Director - Data Science Strategy


Data Science Leadership Role

We are seeking an experienced and skilled Executive Director - Data Science Strategy to lead our data-driven initiatives.


Main Responsibilities:
  • Data Strategy & Implementation:
    • Develop and implement advanced machine learning models and statistical analyses to solve complex business problems.
    • Create predictive models for risk assessment, fraud detection, customer behavior analysis, or forecasting.
    • Design and build scalable data pipelines and ETL workflows.
    • Monitor model performance and implement improvements as needed.
  • Team & Stakeholder Management:
    • Manage a team of data scientists and business intelligence experts.
    • Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
    • Work closely with technology teams to implement new techniques into our environments.
    • Presentation of findings and recommendations to senior management and stakeholders.
  • Compliance & Documentation:
    • Create and maintain detailed documentation of methodologies, models, and processes.
    • Ensure compliance with banking regulations and data governance policies.

Qualifications:
  • Education: A Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field. Professional certifications in relevant technologies or methodologies are a plus.
  • Technical Skills:
    • Advanced knowledge of machine learning algorithms and statistical modeling.
    • Expertise in Python, R, or similar programming languages.
    • Proficiency in SQL and experience with big data technologies (Hadoop, Spark, Databricks).
    • Experience with deep learning frameworks.
    • Knowledge of cloud platforms (AWS, Azure, or GCP).
    • Expertise in data visualization tools (Tableau, Power BI, Qlik).
    • Strong understanding of version control systems (Git).
    • Experience with MLOps and model deployments.
  • Business & Domain Knowledge:
    • Proven people management and leadership abilities.
    • Experience in resource planning and team capacity management.
    • Excellent problem-solving and analytical thinking abilities.
    • Strong communication and presentation skills, with the ability to translate complex technical concepts to non-technical stakeholders.
    • Experience in agile development methodologies.
    • Strong understanding of the banking and financial services domain, including risk management, compliance, and regulatory requirements.
    • Knowledge of financial markets and instruments is a plus.

The ideal candidate will possess strong technical expertise, business acumen, and proven management experience.

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