Description : About the Role
We are looking for a Senior Data Scientist to lead the development and deployment of machine learning models that drive key business decisions.
You will translate complex business problems into actionable ML solutions, from experimentation to production.
Key Responsibilities :
- Lead end-to-end development of Machine Learning models for areas such as prediction, classification, and recommendation.
- Design, implement, and validate models using rigorous statistical methods and ML best practices.
- Develop robust ETL / ELT pipelines to ensure high-quality data for model training and inference.
- Collaborate with Data Engineering and DevOps teams to productionize models and monitor their performance in a live environment.
- Communicate complex analytical insights and model outcomes to technical and non-technical stakeholders.
- Research and apply cutting-edge techniques in the fields of AI, Deep Learning, and NLP.
Technical Skills Required :
Languages : Expert proficiency in Python (NumPy, Pandas, SciPy, Scikit-learn).ML / DL Frameworks : Hands-on experience with TensorFlow or PyTorch.Big Data : Experience with SQL and distributed processing frameworks like Spark (PySpark).Cloud & MLOps : Familiarity with deploying and managing models on cloud platforms (AWS SageMaker, Azure ML, or GCP AI Platform).Knowledge of MLOps tools (e., MLflow, Kubeflow) is highly desirable.
Statistics : Strong foundation in statistics, probability, and experimental design (A / B testing).Qualifications :
Master's or Ph. in Computer Science, Statistics, Mathematics, or a related quantitative field.4+ years of hands-on experience in a Data Scientist role, with a focus on building and deploying ML models(ref : hirist.tech)