Data Scientist II, Forecasting, Demand Planning and Workforce Intelligence
Indexed description
As a Data Scientist, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.
Key job responsibilities
- Use machine learning techniques to forecast SPS investigations for improved long term and short term capacity planning.
- Employ the appropriate algorithms to discover patterns of risks, abuse and help reduce bad debt.
- Design experiments, test hypotheses, and build actionable models to optimize CPT operations.
- Solve analytical problems, and effectively communicate methodologies and results.
- Build predictive models to forecast risks for product launches and operations and help predict workflow and capacity requirements for CPT operations.
- Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies.
- Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area
Forecasting & Planning Research (FPR) team in SPS is responsible for estimating the potential future risk on the Amazon platform and its stores using state of art machine learning algorithms and is responsible for translating those estimates into the investigator headcount requirement in each country. The team consists of Data Scientists, Business Intelligence Engineers, Business Analysts and Program Managers.
Basic Qualifications
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Company - ADCI - Karnataka
Job ID: A10424866
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