You are a Data Scientist with 2-3 years of experience who will be responsible for analyzing large datasets, building predictive models, and generating meaningful insights to support business decisions. Your hands-on experience in Python, Machine Learning, statistics, data visualization, and working with structured and unstructured data will be crucial for success in this role. **Key Responsibilities:**
Analyze structured and unstructured data to extract insights. - Build and implement Machine Learning models. - Perform data cleaning, preprocessing, and feature engineering. - Apply statistical techniques to solve business problems. - Develop predictive models and forecasting solutions. - Work with Python libraries for data analysis and modeling. - Create dashboards and reports using visualization tools. - Collaborate with Data Engineers, Analysts, and Business teams. - Evaluate model performance and improve accuracy. - Work with large datasets using SQL and Python. - Communicate insights using reports and visual storytelling. - Ensure data quality and data validation. **Qualifications Required:**
**Programming Languages**: Python, SQL, R (optional)
**Data Handling**: Data Cleaning, Data Preprocessing, Handling Missing Values, Working with CSV, Excel, JSON datasets
This position requires a candidate who is proficient in the technical skills mentioned above and can effectively utilize them to analyze data and provide valuable insights for business decisions. You are a Data Scientist with 2-3 years of experience who will be responsible for analyzing large datasets, building predictive models, and generating meaningful insights to support business decisions. Your hands-on experience in Python, Machine Learning, statistics, data visualization, and working with structured and unstructured data will be crucial for success in this role. **Key Responsibilities:**
Analyze structured and unstructured data to extract insights. - Build and implement Machine Learning models. - Perform data cleaning, preprocessing, and feature engineering. - Apply statistical techniques to solve business problems. - Develop predictive models and forecasting solutions. - Work with Python libraries for data analysis and modeling. - Create dashboards and reports using visualization tools. - Collaborate with Data Engineers, Analysts, and Business teams. - Evaluate model performance and improve accuracy. - Work with large datasets using SQL and Python. - Communicate insights using reports and visual storytelling. - Ensure data quality and data validation. **Qualifications Required:**
**Programming Languages**: Python, SQL, R (optional)
**Data Handling**: Data Cleaning, Data Preprocessing, Handling Missing Values, Working with CSV, Excel, JSON datasets
This position requires a candidate who is proficient in the technical skills mentioned above and can effectively utilize them to analyze data and provide valuable insights for business decisions.