Jr. Data Scientist
About The Position
The Jr. Data Scientist is a member of a highly motivated CAA Data team responsible for accelerating the creation of opportunity through the strategic use of data across the organization. The Data Scientist incorporates the latest developments in Data Science (statistical modeling, machine learning, simulation and advanced visualization) to solve complex business data problems. The Data Scientist will be able to identify a methodology to answer a business question, gather relevant data from multiple sources and evaluate its quality, perform exploratory data analysis and visualization, applied statistical methods to reach a reproducible answer, and present results that are usable in the context of CAA’s business. The Data Scientist also assists in testing and developing the technology infrastructure to turn Data Science experiments into usable products. The position will report to the Head of Data Science.
Requirements
- Bachelor’s degree on a relevant field such a Mathematics, Science, Engineering, Computer Science, or Business.
- Proficiency using Python, R, or similar mathematical programming. Python expertise preferred.
- Proficiency using SQL and modern Database management.
- Experience with Spark or similar distributed computing platforms.
- Experience using BI platforms such as PowerBI or Tableau.
- Experience with Excel and PowerPoint.
- Excellent analytical and problem-solving skills.
- Exceptional oral and written communications skills.
- Ability to prioritize, coordinate and complete tasks to meet deadlines.
- Ability to work effectively both independently and in team environments.
- Ability to present complex problems in simple terms with great presentation skills.
Nice To Haves
- Master's Degree in relevant discipline preferred.
- Experience working in a Data Science and Analytics department or lab preferred.
- Experience with Simulation modeling (System Dynamics, Agent-Based Simulation or Discrete Event Simulation) preferred.
- Experience with Large Language Models, Neural Networks, and NLP preferred.
Responsibilities
- Identify data sources that can be useful to answer business questions
- Determine the optimal way to ingest this data into CAA’s available technology platforms
- Perform experiments on ingested data to evaluate quality and integrity
- Build data pipelines for ongoing data extraction
- Provide input to data engineers for building ongoing external and internal data ETL pipelines
- Use advanced visualization techniques to present data insights in a compelling way
- Apply advanced analytics to create metrics and KPIs that summarize insights from data
- Apply advanced statistical methods for classification and prediction, including machine learning methods
- Document processes and analyses, using reproducible methods and scripts
- Provide advice to the business on strengths and limitations of statistical results, to avoid misuse
- Elicit, analyze, and document business requirements, from user groups and project stakeholders.
- Create and manage backlog of items by documenting business requirements and translating into technical specifications for solution implementation.
- Manage requirements prioritization, implementation estimation and dependencies.
- Summarize results in business-friendly formats.
- Anticipate questions from business partners and share data insights on an ongoing basis.
Benefits
- benefits
- discretionary bonus
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
