Description
Collect, clean, and preprocess structured and unstructured data from multiple sources.
Develop and implement machine learning models and algorithms for predictive analytics, classification, clustering, and optimization.
Conduct exploratory data analysis (EDA) to identify trends, patterns, and opportunities for business improvement.
Build and maintain data pipelines and workflows to support data science projects.
Collaborate with cross-functional teams, including product managers, data engineers, and business analysts, to define data-driven solutions.
Present insights and recommendations to stakeholders through reports, dashboards, and visualizations.
Stay updated with the latest developments in data science, machine learning, and artificial intelligence.
Ensure data privacy, security, and compliance with relevant regulations and policies.
Perform A/B testing and statistical analyses to validate hypotheses and measure the impact of data-driven solutions.
Optimize and scale machine learning models for deployment in cloud or on-premise environments.
Experience Required
Skills Required
Python
SQL
Azure
Azure Synapse Analytics
Pandas
NumPy
SciPy
Scikit-learn
R
Skill Name 2
Skill Name 3
Skill Name 4
Skill Name 5
Skill Name 6
Benefits on Offer