Data Scientist

Key Responsibilities

• Data Analysis and Interpretation
  • Analyse large and complex datasets to derive actionable insights.
  • Interpret data trends and patterns to inform business decisions.
  • Design and implement data experiments to validate hypotheses.
• Statistical Modelling and Machine Learning
  • Develop and deploy advanced statistical models and machine learning algorithms.
  • Optimize models for accuracy, efficiency, and scalability.
  • Stay updated with the latest developments in machine learning and AI.
  • Experience with advanced analytics techniques beyond traditional statistical models, such as deep learning or natural language processing.
• Data Engineering
  • Collaborate with data engineers to ensure data quality and integrity.
  • Develop and maintain data pipelines for efficient data processing.
  • Work with large-scale databases and distributed computing environments.
• Business Collaboration
  • Work closely with cross-functional teams to understand business requirements.
  • Translate business needs into data science projects and solutions.
  • Present findings and recommendations to stakeholders and senior management.
  • Emphasize the importance of business acumen to understand and contribute to the company's strategic goals through data-driven insights.
• Mentorship and Leadership
  • Mentor and provide guidance to junior data scientists and analysts.
  • Lead data science projects from inception to deployment.
  • Promote best practices in data science within the team.
• Innovation and Research
  • Keep in touch with the latest trends and advancements in data science and related fields.
  • Drive innovation within the team by exploring new methodologies and technologies.

Qualifications

• Education
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Experience
  • Minimum of 5 years of experience in data science, machine learning, or related fields.
  • Proven track record of successfully delivering data science projects.
• Technical Skills
  • Proficiency in programming languages such as Python, R, or Scala.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong knowledge of SQL and experience with relational databases.
  • Familiarity with big data technologies (e.g., Hadoop, Spark).
  • Experience with AWS cloud platform.
• Analytical Skills
  • Strong problem-solving skills and analytical thinking.
  • Ability to work with complex datasets and perform statistical analysis.
  • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).
• Soft Skills
  • Excellent communication and presentation skills.
  • Ability to work collaboratively in a team environment.
  • Strong organizational skills and attention to detail.
• Preferred Qualifications
  • Experience working in regulated industries, such as financial services or legal.
  • Experience with cloud platforms - GCP and Azure.

Publications or contributions to the data science community.

Skills Required
Spark, Scala, Power Bi, Tensorflow, Matplotlib, Seaborn, Pytorch, Sql, Tableau, Aws, Python, Hadoop