Data Science Analyst
2 months ago
Profile : Data Science Analyst
Location : WFO / WFH (Anywhere)
Job Description :
How you will contribute :
- Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements
- Identify patterns and help the business react to changing business conditions
- Perform root-cause analysis and interpret data
- Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities and delivers analysis outputs in accordance with customer needs and conforming to established standards
- Understand and be involved with aspects of the data science process
- As the investigator on the data science team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools, and producing basic data visualisations and reporting dashboards
- Collaborate with cross-functional teams to gather and understand data requirements for various projects.
- Clean, pre-process, and transform raw data into usable formats for analysis.
- Develop and implement statistical models and algorithms to extract insights from data.
- Create and maintain dashboards and reports to track key performance metrics and trends.
- Conduct exploratory data analysis to identify patterns, anomalies, and potential areas for improvement.
- Assist in designing and conducting A/B tests and experiments to support data-driven decision-making.
- Stay up-to-date with industry trends and best practices in data analysis and machine learning.
- Document and communicate findings, insights, and recommendations to team members and stakeholders.
- Collaborate with senior data scientists to refine and enhance analytical methodologies.
- Continuously improve data quality and reliability by identifying and addressing data issues.
- Support data-driven decision-making by providing actionable insights and recommendations.
What you will bring :
- Knowledge of Microsoft Excel, Power BI, SQL,R, Python, SAAS software.
- Moderate knowledge in Math and statistical skills, strong business acumen, moderate computer science/coding skills.
- Experience with at least one of the data manipulation tools such as Python, R, JAVA, is a must have
- Gen AI/ Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms
- Develop key performance indicators and create visualisations of the data.
- Utilise business intelligence and analytics tool.
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