ASSOCIATE DATA SCIENTIST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Updated: Aug 4, 2024 - The Associate Data Scientist combines expertise in computer science, mathematics, and other quantitative fields with a passion for data visualization and interactive application development. This professional excels in crafting user-centric websites and applications, utilizing advanced skills in VBA, CSS, HTML, and JavaScript, and is adept in digital design principles. With proficiency in data science visualization libraries and experience in developing R-Shiny applications, they ensure high-quality data presentations and effective user interactions through sophisticated data pipeline management.
Summary of Associate Data Scientist Knowledge and Qualifications on Resume
1. BS in Computer Science with 3 years of Experience
- Have strong SQL hands-on skills
- Excellent experience with Vertica, Tableau, and other data visualization
- Proficiency in SQL, Python, and Linux shell
- Master in Supervised Machine Learning techniques
- Strong business analytics and data analytics skills
- Willing to learn advanced Machine Learning and Deep Learning techniques
- Exposure to the Fintech/AdTech industry
- Must have working experience with a global team
- Understanding of Mathematics, Statistics, Engineering, Economics, Decision Sciences
- Excellent written and verbal communication skills
2. BS in Information Systems with 6 years of Experience
- Knowledge of Computer Science, Math, Physics, Engineering, Statistics or other quantitative fields
- Interested in Data visualization, creating Interactive data applications, web applications
- Strong attention to detail and care deeply about data quality
- Working experience with designing user-friendly websites, desktop applications, and mobile applications
- Advanced using VBA, CSS, HTML, and JavaScript
- Deep knowledge of digital design techniques and tools, including typography, layouts, and responsive design
- Proficient in data science visualization libraries
- Professional experience developing data visualization applications
- Proficient in creating R-Shiny web applications incorporating user interactive features and data visualizations
- Ability to write, and manage data pipeline scripts (R, Python, Spark, SQL, HQL, etc.)
3. BS in Data Science with 4 years of Experience
- Statistical programming experience (SAS, R, Python)
- Ability to look at things differently, debug, troubleshoot, design, and implement solutions
- Strong technical and analytical abilities
- Have a knack for driving impact and growth
- Working experience with programming/scripting in a language
- Basic understanding of statistical programming in a language
- Basic the understanding of Cloud (AWS, Azure, etc.)
- Excellent verbal and written communication skills
- Work or internship experience using data science tools in a corporate environment
- Interest in Design Thinking and Agile Development Methodologies
4. BA in Statistics with 2 years of Experience
- Experience in applied artificial intelligence technologies
- Knowledge of data science/machine learning concepts
- Ability to iteratively conceptualize, design, and build data-driven analytical models
- Strong capabilities in modern analytics languages/tools
- Collaborative, open, and respectful working style
- Passion for learning and a desire to grow
- Experience in applying advanced AI techniques
- Experience manipulating and preparing large, heterogeneous data sets (Big Data)
- Demonstrated energy and passion that extends beyond your field of study
- Experience with interdisciplinary collaboration