Key Performance Indicators (KPIs) for the role:
Over the next 12 months, this role's success will be measured on:
· Successful deployment of data science models into production.
· Improvement in model performance metrics (e.g., accuracy, precision, recall).
· Effective data-driven decision-making supported by predictive analytics and statistical models.
· Timely identification and mitigation of model drift.
· Effective collaboration with cross-functional teams.
· Mentorship and development of junior team members.
KEY JOB REQUIREMENTS:
In this role, you will be successful if you have:
Experience:
· 5+ years of experience in data science.
· Strong understanding of data science techniques, including statistical modeling and data analytics.
· Experience with data science libraries (e.g., NumPy, pandas, scikit-learn).
Skills & Competencies:
Must Have:
· Proficiency in Python, R, or other relevant programming languages.
· Proficiency in working with large datasets, data wrangling, and data preprocessing.
· Ability to work independently and lead projects from inception to deployment.
· Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).