Hiring:

Job Title: Senior Data Scientist [ 5– 7 years]

Location: Yemalur, Bengaluru

Job Role: Worked on and have good knowledge of Google Cloud Platform (GCP) and corresponding ML services like Vertex AI, Big Query ML, Auto ML, Kubeflow

- Experience in developing MLOps pipelines.

- At least 2-3 years of experience in Supply Chain domain

- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, Text mining, social network analysis, Natural Language processing, etc.

- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

- Experience in analyzing complex problems and translating them to data science algorithms.

- Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.

- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

- Prior experience of having worked in consulting/product/analytics environment.

- Team player and demonstrated ability to work effectively across various internal organizations and international teams.

- Certified with GCP Professional Machine Learning Engineer.

- Strong business acumen and ability to translate data insights into meaningful business recommendations.

- Excellent verbal and written presentation skills

- Attention to detail and ability to work in high pressure environment.

- Proven experience in delivering analytical solutions within mid to large size project teams, and working in on-shore & off-shore environment

Roles and Responsibilities:

- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

- Responsible for building and maintaining ML Ops pipelines for the product.

- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Develop custom data models and algorithms to apply to data sets

- Ability to manage multiple projects with competing priorities

- Provide project management, quality assurance, leadership and mentoring to a team of analyst based in an offshore location.

- Keep abreast of industry trends and emerging methodologies to continuously improve skill set around customer and product analytics.

- Contribute to knowledge sharing and improve team productivity through training/documentation of best practices that are directly linked to customer engagement.

This role will report to Assistant Vice President, Analytics