Description
AI Data Scientist
AI Data Scientist - 7-10 Yrs
Role:
Strategic and inquisitive senior data scientist to develop and run data-centered projects with experience in Telecom domain ( BSS preferably)
Responsibilities:
Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
Propose, Drive & Lead in Architecture & Design Review Boards, Design and develop modules, platform components in concert with Architects and Tech Leads in the team.
Full stack Engineering ownership from requirement to Release Integration.
Collating data from various entities/systems via data pipelines for business use/project.
Provide business insights from the Raw data to formulate business strategies.
Ensure Data quality and integrity via techniques like Data Extraction, Data Cleaning, Data Preparation, Modification, Data Pre-Processing, Visualization, EDA.
Design and Build analytic systems (predictive and prescriptive) using various ML/DL algorithms.
Cross-validate/Evaluate AI models to ensure their generalizability.
Guide and mentor Engineers, Developers, Business Analysts & Quality Engineers
Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
Evaluates new business tools, techniques and processes for incorporation into company and department best practices
Technology:
- Statistics, Machine Learning, Deep learning background and experience with production deployment of AI models
Intermediate to expert level proficiency in statistical/ML predictive techniques such as regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST etc
Working experience & statistical clarity in traditional algorithms like time series modelling, dimensionality reduction, SEM, GLM, GLMM, clustering and related areas
Nice to know: NLP, NLU, Text Mining, Text Classification, Sentiment Analysis, Topic Modelling, Text summarization.
- Python, Pandas, NumPy, Sklearn, Matplotlib, TensorFlow, Keras, Flask, NLTK, Genism, Spacy.
- Google GCP - Experience
- Mongo, PostgreSQL, DB2, MySQL, Oracle
- Graph DB knowledge, Git, Docker, Kubernetes