Data Analysis & Modeling : Extract, clean, and analyze structured and unstructured datasets to identify trends, patterns, and insights.
Machine Learning & AI : Build, deploy, and maintain predictive and prescriptive models using ML / AI techniques to solve business problems.
Data Visualization & Reporting : Create dashboards, reports, and visualizations to communicate insights effectively to stakeholders.
Collaboration : Work closely with business teams, product managers, and engineers to understand requirements and translate them into data-driven solutions.
Optimization & Automation : Identify opportunities to automate processes and improve decision-making using data-driven approaches.
Research & Innovation : Stay updated with the latest tools, technologies, and methodologies in data science, AI, and ML.
Requirements :
Experience : 38 years in data science, analytics, or related fields.
Technical Skills : Proficiency in Python / R, SQL, and experience with data visualization tools like Tableau, Power BI, or Plotly.
Machine Learning : Strong understanding of supervised / unsupervised learning, feature engineering, model evaluation, and deployment.
Data Handling : Experience with big data frameworks (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) is a plus.
Problem Solving : Strong analytical, statistical, and problem-solving skills.
Communication : Ability to present complex insights in a clear, concise manner to business stakeholders.