Data Analysis - Data Scientist
The Vanguard Group
Contract Malvern, Pennsylvania, United States Posted 3 years ago
About Position
Data Analysis - Data Scientist (Contract)
$45.00 / Hourly
Malvern, Pennsylvania, United States
Data Analysis - Data Scientist
Contract Malvern, Pennsylvania, United States Posted 3 years ago
Skills
1. Work with stakeholders and creates quick prototypes of the solution to define the analytics roadmap. 2. Work with business to understand the business domain and convert business problems into an analytics problem 3. Create or use existing frameworks to test and validate new models 4. Explain models and put results in easy to interpret manner such that non-analytic person can understand 5. Turn data into information that can improve current workflow or processes that will help to make better business decisions. Generate business insights to help clients with decision-making. 6. Adhere to best practices of coding Measures of Outcomes: 1. Schedule Adherence 2. Quality of code and other deliverables 3. Number of reusable components developed 4. Number of new analytics solutions that got approved for further development Outputs Expected: Statistical Techniques: 1. Apply statistical techniques like regression properties of distributions statistical tests etc. to analyze data. Machine Learning Techniques: 1. Apply machine-learning techniques like clustering decision tree learning artificial neural networks etc. to streamline data analysis. Creating advanced algorithms: 1. Create advanced algorithms and statistics using regression simulation scenario analysis modeling etc. Data Visualization: 1. Visualizing/presenting data for stakeholders using: Periscope Business Objects D3 ggplot etc. Management and Strategy: 1. Oversees the activities of analyst personnel and ensures the efficient execution of their duties. Critical business insights: 1. Mines the business’s database in search of critical business insights and communicates findings to the relevant departments. Code: 1. Creating efficient and reusable code meant for the improvement manipulation and analysis of data. Version Control: 1. Manages project codebase through a version control tool like git bitbucket etc. Predictive analytics: 1. Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis Prescriptive analytics: 1. Attempts to identify what business action to take Create Reports: 1. Create reports depicting the trends and behaviors from the analyzed data 2. Training end-users on new reports and dashboards. 3. Set FAST goals and provide feedback to FAST goals of menteesDescription
• Data Engineering Lead profile with 10 years relevant experience in Data Technology/ Engineering, and have substantial experience working in AWS Environments
• Must have hands-on experience in Big Data, Scala, Python, Data Ingestion
• Should have working exposure to upcoming AWS technologies
Outcomes:
1. Work with stakeholders and creates quick prototypes of the solution to define the analytics roadmap.
2. Work with business to understand the business domain and convert business problems into an analytics problem
3. Create or use existing frameworks to test and validate new models
4. Explain models and put results in easy to interpret manner such that non-analytic person can understand
5. Turn data into information that can improve current workflow or processes that will help to make better business decisions. Generate business insights to help clients with decision-making.
6. Adhere to best practices of coding
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