Job Overview
We are looking for a Data Scientist who will support our products and leadership teams with insights gained from analysing company and portfolio data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in data and working with stakeholders to improve business outcomes.
Responsibilities
Identify data gaps, recommend and implement solutions to address these gaps
Provide data insights to products team that will help in scaling and product optimisation
Monitor and report experiment results/impact analysis
Develop state of the art solutions to present data insights to management team on-demand
Analyse scoring data and repayment data to identify complex patterns that could inform default and non-default customer behaviour
Develop credit scoring models
Validation of credit scoring models
Deploy scoring models using REST APIs
Documentation of deployed code
Knowledge and skills
BSc degree in Computer Science/Computer Engineering. Masters is a plus.
3+ years of relevant experience in the data science field.
Knowledge and experience in machine learning algorithms(K-Means, Logistic regression are a must)
Strong Python, especially in a data analytics/science capacity (ex. pandas, numPy, sklearn, matplotlib, seaborn)
Excellent with SQL database operations
Experience with experimental design, statistical analysis, and interpretation of qualitative and quantitative data.
Good knowledge of statistical tests and analysis
Ability to communicate model outputs and analyses to stakeholders at various levels of technical expertise
Experience deploying predictive models at scale
Keen eye for detail and thoughtful investigation of data before relying upon it
Thrives on teamwork
Experience in cloud technologies GCP and AWS
Knowledge in parallel processing technologies i.e Spark, Dask
Bonus: Experience working with financial data or credit scoring models
Please send your CVs and cover letter to jobs@pezesha.com. Kindly indicate the title of the job on the subject header of the email (REF 23/JUNIOR DATA SCIENTIST. The applicants who do not indicate THE REF NO and job title will be automatically disqualified. Applications will be reviewed on a rolling basis.In your application kindly add/attach the information below to jobs@pezesha.com
Apply via :
jobs@pezesha.com
