Sr Data Scientist

Key Skills

Azure, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Databricks, Machine learning techniques, Python Programming, R Programming, Scala Programming, SPARK Programming, SQL

Job Description

• Deliver end-to-end analytics and data science solutions from idea conception through planning, requirements, design, development, testing, production, and deployment/business process integration
• Oversee the solution's Client Ops from a model standpoint, own the management of data & model drift
• Retrain the models regularly, upgrade the models and associated technical pipelines, such as addition of signals or adaptation of the models to a change in input source / format
• Do first line and second line model maintenance incl. advanced debugging whenever necessary; coordinate with engineers for specialized back-end and UI upgrades / debugging
• Collaborate with cross-functional stakeholders/SMEs throughout product solution lifecycle to ensure requirements are met and solutions are fully integrated in business processes to deliver value
• Evaluate existing and new data science tools and techniques, lead the development of data science best practices across the enterprise

Requirements:

Key Skills and Abilities

• Deep understanding and experience with advanced statistics, time series forecasting, machine-learning models, best practice application of data science in a business context (e.g., back-testing & piloting), model architecture, and use cases
• Experience in data management, e.g., wrangling, extraction, normalization
• Ability to build industrialized data pipelines
• Proficiency in SQL and Python (preferred) / R / Scala. Knowledge of big data framework like Spark is an asset
• Ability to navigate, collaborate and deliver production-grade code in a complex industrialized code base
• Experience with standard SDLC process and DevOps including version-control (GitHub/SVN) and CI/CD
• Experience using business intelligence tools like Power BI / Tableau
• Experience in Azure and Databricks are a plus
• Understanding of design and architecture principles is a plus
• Good communication and presentation skills: ability to synthesize, simplify, and explain complex problems to different audiences across functions and levels; ability to convey insight through storytelling
• Strong project management skills to stay on top of the timelines and deliverables
• Autonomy and creativity with an ability to design suitable technical solutions to solve business problems

Education And Experience Required

• Bachelor's degree in Statistics, Data Science, Applied Mathematics, Computer Science, Business Analytics, or related quantitative disciplines (Master's degree preferred)
• 5+ years of overall data science experience
• 3+ years business experience in a Data Science or Advanced Analytics role in the industry (must have demonstrated working with business units)