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Responsibilities:
- Perform data mining, cleaning, and preprocessing tasks to analyze large datasets.
- Develop and implement statistical models and machine learning algorithms to solve business problems and optimize processes.
- Collaborate with cross-functional teams to understand business requirements and identify opportunities for data-driven insights.
- Interpret and communicate analysis results effectively to stakeholders through reports, visualizations, and presentations.
- Conduct exploratory data analysis to uncover trends, patterns, and correlations in the data.
- Stay current with industry trends and best practices in data science and analytics.
Mandatory Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
- 3-5 years of hands-on experience in data analysis, statistical modeling, and machine learning techniques.
- Proficiency in programming languages such as SQL and Python for data analysis and manipulation.
- Strong understanding of statistical concepts and methods.
- Excellent problem-solving skills and ability to work with large and complex datasets.
Preferred Qualifications:
- Experience working in a cross-functional team environment
- Knowledge of data visualization tools such as Tableau, Mode, or Sigma Computing
- Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
- Experience with big data technologies such as Hadoop, Spark, or Hive
- Experience with data engineering tools like Databricks, DBT, Fivetran, etc
- Strong understanding of database systems and SQL for data querying and manipulation