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Data Scientist Lead - Data - Mox

5.00 to 10.00 Years   Mumbai City   14 Mar, 2022
Standard Chartered Bank Ltd
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    • Provide data science leadership and expertise to effectively drive data driven decision making, superior analytics and machine learning use cases across the bank
    • Work with Head of Data to design, prioritize and roadmap key data science and analytics projects
    • Coach, mentor and develop high performing data scientists & motivate the team with clear, elevating goals
    • Collaborate closely with business and product teams across the bank to identify and maximise opportunities from data
    • Be a hands-on leader of a team of data scientists and data analysts in executing data science projects across different functions in the bank
    • Establish standards for code quality, analysis, documentation, visualizations and data driven decision making
    • Build modern, automated, cloud native tools and infrastructure for data science
    • Conducting post-mortems and promoting continuous improvement.
    • Coordinate with the data science team to organize data literacy sessions for non-technical stakeholders in the bank
    • Play a leading role in interviewing, hiring and supporting new data scientists.
    Our Ideal Candidate
    • 5+ years of experience delivering value-adding data science and analytics initiatives in a business setting. Ideally, your experience will include financial institutional experience.
    • Proven experience in a similar leadership role with excellent communication and organizational skills.
    • Demonstrable hands-on programming knowledge in Python/R and SQL
    • Solid background in machine learning theory; ranging from simple linear models, to GDBT to deep learning; and the corresponding frameworks for their implementation
    • Experience applying statistics in the business decision making, through experimentation theory and causal inference
    • Experience and technical knowledge of a broad range of BI tools, machine learning algorithms and webbased/cloud deployment of models
    • Excellent communication and presentation skills, and an ability to translate technical methods and findings to a non-technical audience
    • Proven experience building solutions using cloud services on AWS/Azure/Google Cloud
    • MLOps experience using either established platforms for ML delivery (eg MLFlow) or using orchestration tools (eg Apache AirFlow, Luigi)
    • Practical knowledge with Git flow, Trunk and GitHub flow branching strategies.
    • Strong understanding and practice in Agile/Lean projects SCRUM, KANBAN etc.
    ,

Keyskills :
machine learningpythondata analysissqlanalyticskeeping things simplebusiness decision makinguse casesdata sciencehuman skillsmusic making

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