ASSPL

Data Science, Science, international stores

DataScientist,ROWAOP,AnalyticsOperationsandPrograms

₹18–28L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Scientist, ROW AOP, Analytics Operations and Programs at ASSPL. Skills: Data Science, Machine Learning, Analytics Operations, AI products. Analyze data with statistical techniques. Analyze data with ML techniques”

What You'll Achieve.

Optimize operation processes; Estimate Shipments Per Route for $MM savings; Reduce network losses

Industry & Context.

Data Science, Science, international stores
Problems you'll solve

Optimize operation processes; Optimize middle mile truck routes; Reasoning and problem-solving

What They're Looking For.

Must Have

1+ years data querying languages experience, 1+ years scripting languages experience, 1+ years statistical/mathematical software experience, 2+ years data/research scientist experience, 2+ years statistician experience, 2+ years quantitative analyst experience, 1+ years creating mathematical textbooks, 1+ years creating research papers, 1+ years creating educational content

Nice to Have

Ph.D. in Science, Ph.D. in Technology, Ph.D. in Engineering, Ph.D. in Mathematics, Knowledge of statistical packages, Knowledge of business intelligence tools, Knowledge of machine learning concepts, Experience with clustered data processing, Experience working with AI systems, Experience evaluating AI systems, Experience applying quantitative analysis, Experience making data-driven business decisions

What You'll Do.

Analyze data with statistical techniques

Analyze data with ML techniques

Develop analysis in scripting languages

Develop model in scripting languages

Develop analysis in statistical software

Develop model in statistical software

Develop science-based Supply Chain solutions

Learn statistical techniques

Learn statistical tools

Understand statistical techniques

Understand ML techniques

Understand statistical tools

Understand Amazon Supply Chain operations

Develop ML solutions to detect abuse

How You'll Work.

Team & Collaboration

Product Managers; Data Engineers; Data Scientists; Research Scientists; Applied Scientists; Business Intelligence Engineers; Global partner science teams

Full Job Description

The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. As a Data Scientist, you will play a crucial role in supporting the team by creating and maintaining the data infrastructure necessary for the advanced analytics and machine learning solutions. Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and LATAM). Here is a glimpse of the problems that this team deals with on a regular basis: • Using live package and truck signals to adjust truck capacities in real-time • HOTW models for Last Mile Channel Allocation • Using LLMs to automate analytical processes and insight generation • Ops research to optimize middle mile truck routes • Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings • Deep Learning models to synthesize attributes of addresses • Abuse detection models to reduce network losses Key job responsibilities 1. Analyze data with statistical and ML techniques. 2. Develop analysis/model in scripting languages (e.g. Python, R) and statistical/mathematical software (e.g. SAS, Matlab, etc.). 3. Develop science-based Supply Chain solutions. 4. Analysis/model documentation. 5. Learn and understand state-of-the-art statistical and ML techniques/tools. 6. Learn and understand Amazon Supply Chain operations. 7. Develop ML solutions to detect abuse in the network Basic Qualifications: - 1+ years of data querying l

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