Data Science Lead - Forecasting
...
data scientist.
- bangalore, karnataka
- posted 11 january 2023
- closes 11 march 2023
job details
summary
- bangalore, karnataka
- a client of randstad india
- contract
- reference numberJPC - 79487
job details
Job Purpose and Impact
Intelligent Supply Chain Forecasting Lead will work collaboratively in multidisciplinary teams to define, develop, deploy and sustain complex supply chain digital solutions at scale. In this role, you will deploy predictive, prescriptive models at scale for digital supply chain products that help deliver significant value to our customers, businesses, and functions.
Key Accountabilities
- Own and design statistical model, evaluate differentiating features and deploy forecasting solutions keeping eye on bringing business value for intelligent supply chain applications.
- Work on multidisciplinary teams of product owners, data engineers, software engineers, data scientists, and business subject-matter experts to deploy complex large-scale projects on time.
- Take ownership for the entire supply chain data science workflow including well defined, highly complex project scoping, exploratory data analysis, model development, deployment and monitoring.
- Provide expert thought leadership in your space and work with limited direction, using additional research and interpretation to identify issues or problems. You may provide direction to supporting team members and be a strategic contributor.
- Continuously seek out best practices and develop skills.
- Other duties as assigned.
Qualifications
MINIMUM QUALIFICATIONS
• Bachelor’s degree in Computer science, Statistics, Math OR related field OR Equivalent Experience.
• Applied Machine Learning experience (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning).
• Strong mathematical background (linear algebra, calculus, probability and statistics). • Experience with JavaScript and prototyping languages such as Python and R.
• Minimum of Six years of related work experience.
PREFERRED QUALIFICATIONS
• Master's degree or PhD in Computer science / Engineering / Math or Statistics
• Professional experience applying predictive, prescriptive models for Supply Chain solutions.
• Experience with timeseries forecasting such as ARIMA, Prophet, DeepAR, etc.
Data Science Lead - Forecasting
Job Purpose and Impact
Intelligent Supply Chain Forecasting Lead will work collaboratively in multidisciplinary teams to define, develop, deploy and sustain complex supply chain digital solutions at scale. In this role, you will deploy predictive, prescriptive models at scale for digital supply chain products that help deliver significant value to our customers, businesses, and functions.
Key Accountabilities
- Own and design statistical model, evaluate differentiating features and deploy forecasting solutions keeping eye on bringing business value for intelligent supply chain applications.
- Work on multidisciplinary teams of product owners, data engineers, software engineers, data scientists, and business subject-matter experts to deploy complex large-scale projects on time.
- Take ownership for the entire supply chain data science workflow including well defined, highly complex project scoping, exploratory data analysis, model development, deployment and monitoring.
- Provide expert thought leadership in your space and work with limited direction, using additional research and interpretation to identify issues or problems. You may provide direction to supporting team members and be a strategic contributor.
- Continuously seek out best practices and develop skills.
- Other duties as assigned.
Qualifications
MINIMUM QUALIFICATIONS ...
• Bachelor’s degree in Computer science, Statistics, Math OR related field OR Equivalent Experience.
• Applied Machine Learning experience (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning).
• Strong mathematical background (linear algebra, calculus, probability and statistics). • Experience with JavaScript and prototyping languages such as Python and R.
• Minimum of Six years of related work experience.
show more• Applied Machine Learning experience (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning).
• Strong mathematical background (linear algebra, calculus, probability and statistics). • Experience with JavaScript and prototyping languages such as Python and R.
• Minimum of Six years of related work experience.
PREFERRED QUALIFICATIONS
• Master's degree or PhD in Computer science / Engineering / Math or Statistics
• Professional experience applying predictive, prescriptive models for Supply Chain solutions.
• Experience with timeseries forecasting such as ARIMA, Prophet, DeepAR, etc.
experience
20
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