Job Description
- Identify valuable data sources and automate collection process
- Quality control through comparative analysis
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and pattens
- Check the accuracy of data entries in various systems using different database platforms
- Interpret data, analyze results using statistical and data visualization techniques and provide ongoing reports (weekly/monthly) to technical and non-technical audience
- Secure database completeness and integrity
- Propose solutions and strategies to business challenges
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Develop processes and tools to monitor and analyze model performance and data accuracy
Required Skills
- B.S. in a quantitative field (math, statistics, computer science, or similar STEM fields) and with strong math skills (e.g. statistics, algebra)
- Experience in data mining, working with and creating data architectures
- Knowledge of common business intelligence tools and data frameworks
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
The following competencies are an advantage:
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
- Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
- Coding knowledge and experience with several languages: C, C++, Java,
- Proven experience as a Data Scientist or Data Analyst is a plus.
Minimum Qualifications
