CogniTensor Technology - Senior Data Scientist - Machine Learning (2-5 yrs)

Job Title : Senior Data Scientist

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.

Reporting To : This role will report to Assistant Vice President, Analytics.