Candidates must have at least 7 -9 years relevant experience in Data Science skills as mentioned below :
Languages - R / Python
Modeling - Statistical Analysis, ANOVA, Time series Analysis, Regression Analysis
Data - Structured data such as tables, excel, csv files or - Market mix model, Forecasting, predictive analysis, classification, optimisation, recommendation systems,
Libraries - scikit learn, matplotlib, numpy scipy
Additional Must Have :
- Data science on GCP ,Generative AI Fundamentals, Machine Learning Solution Design
REQUIREMENTS :
Total experience 9+ years.Hands on working experience in Python.Experience with data visualization libraries (e.g., matplotlib, seaborn, plotly)Strong working experience grasp of DS stack packages : SciPy, scikit-learn, TensorFlow, PyTorch, NumPy, PandasBasic to intermediate SQL skillsExperience working with GCP cloud services (eg. Vertex AI)Hands-on experience deploying ML solutions using Kubeflow, Vertex AI, Airflow, or PySparkExcellent communication and collaboration skills for working across global teamsRESPONSIBILITIES :
Writing and reviewing great quality code.Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.Mapping decisions with requirements and be able to translate the same to developers.Identifying different solutions and being able to narrow down the best option that meets the clients requirements.Defining guidelines and benchmarks for NFR considerations during project implementation(ref : hirist.tech)