Search by job, company or skills

  • Posted 19 hours ago
  • Be among the first 10 applicants
Early Applicant

Job Description

About the Role:

We are looking for a Senior Data Scientist to lead and execute complex data science projects that drive business impact. This role involves designing and deploying advanced machine learning models, collaborating with cross-functional teams, and mentoring junior data professionals. You will play a key role in transforming data into actionable insights that improve operations, reduce costs, and increase revenue.

Key Responsibilities:

  • Lead data science projects from planning to deployment, ensuring scalability and reliability
  • Work closely with business units to identify opportunities for data-driven solutions
  • Collect, clean, and analyze large datasets; build predictive and classification models
  • Design and implement machine learning algorithms and advanced analytics solutions
  • Develop dashboards and visualizations to communicate insights to stakeholders
  • Mentor and guide junior team members in data science and AI best practices
  • Support risk assessment and system security measures in collaboration with ICT teams

Qualifications:

  • Education: Bachelor's degree in Computer Science, Data Science, Engineering, or related field (Master's preferred)
  • Experience: 34 years in a similar role with strong expertise in machine learning and predictive modeling
  • Technical Skills: Proficiency in Python and SQL
  • Experience with BI tools (Tableau, Power BI, QlikSense)
  • Familiarity with big data technologies (Hadoop, Spark)
  • Advanced statistical analysis and data visualization skills
  • Certifications (Preferred): EDA, Deep Learning & AI, Certified Analytics Professional

Core Competencies:

  • Strong analytical and critical thinking skills
  • Excellent communication and collaboration abilities
  • Ability to manage projects and mentor team members
  • Knowledge of risk management and regulatory compliance

More Info

Job Type:
Industry:
Function:
Employment Type:

Job ID: 137833181

Similar Jobs