Revature
Location
Mumbai | India
Job description
We are seeking a highly skilled and motivated senior data scientist to support a big data program in North America. The successful candidate will play a pivotal role in supporting multiple projects in this program covering traditional tasks from revenue management, demand forecasting, improving customer experience to testing/using new tools/platforms such as Copilot Fabric for different purpose. The expected candidate would have deep expertise in machine learning methodology and applications. And he/she should have completed multiple large scale data science projects (full cycle from ideation to BAU). Beyond technical expertise, problem solving in complex set-up will be key to the success for this role. This is a data science role directly embedded into the program/projects, stake holder management and collaborations with patterner are crucial to the success on this role (on top of the deep expertise). What we are looking for: 1. Highly efficient in Python/Pyspark/R. 2. Understand MLOps concepts, working experience in product industrialization (from Data Science point of view). Experience in building product for live deployment, and continuous development and continuous integration. 3. Familiar with cloud platforms such as Azure, GCP, and the data management systems on such platform. Familiar with Databricks and product deployment on Databricks. 4. Experience in ML projects involving techniques: Regression, Time Series, Clustering, Classification, Dimension Reduction, Anomaly detection with traditional ML approaches and DL approaches. 5. Solid background in statistics, probability distributions, A/B testing validation, univariate/multivariate analysis, hypothesis test for different purpose, data augmentation etc. 6. Familiar with designing testing framework for different modelling practice/projects based on business needs. 7. Exposure to Gen AI tools and enthusiastic about experimenting and have new ideas on what can be done. 8. If they have improved an internal company process using an AI tool, that would be great (e.g. process simplification, manual task automation, auto emails) 9. Ideally, 10+ years of experience, and have been on independent business facing roles. 10. CPG or retail as a data scientist would be nice, but not number one priority, especially for those who have navigated through multiple industries. 11. Being proactive and collaborative would be essential.
Some projects examples within the program: 1. Test new tools/platforms such as Copilo, Fabric for commercial reporting. Testing, validation and build trust. 2. Building algorithms for predicting trend in category, consumptions to support dashboards. 3. Revenue Growth Management, create/understand the algorithms behind the tools (can be built by 3rd parties) we need to maintain or choose to improve. Able to prioritize and build product roadmap. Able to design new solutions and articulate/quantify the limitation of the solutions. 4. Demand forecasting, create localized forecasts to improve in store availability. Proper model monitoring for early detection of potential issues in the forecast focusing particularly on improving the end user experience. This is an excellent opportunity for a senior data scientist to take their career to the next level by working in a big data program (with big investment) aiming at making a real impact in the coming future with data science and other new technology. And it will be a fun role for the right person as the working team is highly diverse and creative. We are looking for someone truly passionate about this field and knowledgeable.Job tags
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