Data scientist

Banking & Finance,Utilities/ Energy,Telecom,Aerospace/ Airlines,IT/Software,Media/ Entertainment

Work Authorization:

• Analyze structured and unstructured data to identify trends, patterns, and insights
• Build, validate, and deploy machine learning and statistical models
• Develop predictive and prescriptive analytics solutions
• Perform data cleaning, feature engineering, and exploratory data analysis (EDA)
• Collaborate with data engineers, product teams, and business stakeholders
• Communicate findings through dashboards, reports, and presentations
• Monitor and improve model performance over time
• Ensure data quality, governance, and best practices

• Intermediate SQL
• Selects, Filter, Joins, Group by creation Value update / delete
• Advanced Python
• Writing efficient code
• Modular / reusable code (functions)
• Documenting code
• Classes
• Processing pipelines
• Pandas
• Nice to have:
  Text data processing, Document (PDF/Excel) processing
• General git experience
• General agile experience

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.