Data Science - Supply Chain/Forecasting/Financial Analytics Analytics- Senior Manager
Bengaluru (SDC) - Eagle Ridge at Embassy Golf Links Business Park
SoundCloud
Discover and play over 320 million music tracks. Join the world’s largest online community of artists, bands, DJs, and audio creators.Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior ManagerJob Description & Summary
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.
Years of Experience: Candidates with 12+ years of hands on experience
Must Have:
In-depth knowledge of supply chain processes, logistics, inventory management, and demand forecasting within various industries
Strong understanding of financial concepts and analytics to provide insights into budgeting, cost optimization, and financial forecasting
Experience in developing demand forecasting models to optimize inventory levels, reduce stockouts
Ability to apply data science to optimize budget allocation, reduce costs, and improve financial performance, perform finance, cash payroll forecasting through AI/ML techniques.
Good knowledge of statistics For e.g: statistical tests & distributions
Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases
Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow,, Pytorch, MLlib)
Advanced level programming in SQL and Python/Pyspark to guide teams
Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc.
Nice to have:
Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow)
Experience with model explainability and interpretability techniques
Multi-task and manage multiple deadlines. Responsible for incorporating client/user feedback into the Product
Ability to think through complex user scenarios and design simple yet effective user interactions
Good Communication and presentation skills
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
0%Available for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Business Intelligence Data analysis Data Analytics Data management Finance Kubernetes Machine Learning Power BI PySpark Python PyTorch QuickSight Scikit-learn SQL Statistics Tableau TensorFlow
Perks/benefits: Career development Competitive pay Travel
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