Data Scientist | Bank | Contract

Responsibilities
•    Involve in deploying machine learning models, data science solutions and working with state-of-art data science and machine learning tools such as Spark, Sklearn, Tensorflow and will have mastery in any number of analytic programming languages/platforms like Python, R. etc.
•    Work with large datasets, distributed Big Data Platforms, CI/CD tools for continuously deploying variety of advanced analytics solutions across the bank ranging from recommendation engines, propensity models, customer segmentation, Graph models, Credit underwriting model, pricing and more
•    Engage with data science/machine learning project teams, business and product teams to create the deployment framework
•    End-to-End processes for feature engineering, model deployment and model performance monitoring
•    Deploy A/B test experiments to test the model effectiveness and Analyze to identify the target segments
•    Drive the Big data infrastructure/ Data engineering team to set up the production environment
•    Build reusable, scalable deployment frameworks


Requirements: 
•    3-7 years of experience in data science/analytics (consumer banking, ecommerce, retail, telecoms, technology) with demonstrated track of generating value through DS/ML/AI solutions.
•    B.Sc./M.Sc./PhD or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research.
•    Should have full understanding of applications of DS/ML/AI solutions to various business problems. 
•    Proficiency in using databases like Teradata, NoSQL and Hadoop using SQL, Hive, Spark, CI/CD tools such as Bitbucket/GitHub, Jenkins, Repository management, Kubernetes, Kibana, Grafana etc.
•    Programming experience in Python, Spark, SAS, TensorFlow or other machine learning oriented programming languages/platforms.
•    Good understanding of technology tools especially those related to analytics, data & modeling.
•    Ability to communicate complex analysis/models across a diverse team.
•    Good communication skills.

Interested Candidates may send their resume and cover letter directly to [email protected] ,stating the position as the subject title in the email.
Hibah Bakhtavar | EA License No. 02C3423 | Personnel Registration No. R21103109