The role is responsible for delivering specific advanced analytics projects and drive data-driven decision-making and innovation within the organization. This role involves identifying projects, understanding the business need, delivering the development and implementation of advanced analytics, machine learning models, and data strategies to solve complex business problems individually or with team of data scientists. The Senior TM Data Scientist will collaborate with cross-functional teams to ensure the effective use of data, provide strategic insights, and contribute to the overall growth and success of the company.
Category
Supporting Actions
Core Skills
Concepts (Technical)
a) Problem framing, EDA, feature engineering
b) Statistical reasoning and ML fundamentals
Concepts (Soft Skills)
a) Technical leadership and mentoring
b) Business storytelling and stakeholder communication
Tools
Python, SQL, R; pandas, numpy; scikit-learn; Jupyter, VS Code; Git
Advanced Skills
Concepts
a) End-to-end ownership of ML, DL, CV, NLP, GenAI solutions
b) Model robustness, monitoring, and optimization
Tools
ML: XGBoost, LightGBM
DL: TensorFlow, PyTorch
CV: OpenCV
NLP/GenAI: spaCy, HuggingFace, LangChain, LLM APIsMLOps: MLflow, Airflow, Docker
Optional Skills
Concepts
a) Advanced experimentation and solution innovation
b) Optimization-driven decision making
Tools
OR-Tools, PuLP, Prophet, Evidently, Kubernetes, Azure/AWS (any one)
