DATA SCIENCE INTERN SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 4, 2024 – The Data Science Intern has foundational knowledge in data modeling and experience with statistical programming tools like R, SAS, or Python, along with data visualization tools such as Qlik, PowerBI, or Tableau. Strong collaboration and communication skills, complemented by entrepreneurial experience, enable effective teamwork and problem-solving. The intern also has proficiency in the MS Productivity Suite and quick adaptability to new technologies enhancing the ability to analyze and document business and technical processes.

Essential Hard and Soft Skills for a Standout Data Science Intern Resume
  • Python Or R
  • Data Analysis
  • Statistical Analysis
  • Machine Learning
  • Data Visualization
  • SQL
  • Data Cleaning
  • Git
  • Big Data
  • Cloud
  • Critical Thinking
  • Problem-Solving
  • Communication
  • Teamwork
  • Adaptability
  • Attention To Detail
  • Time Management
  • Curiosity
  • Creativity
  • Resilience

Summary of Data Science Intern Knowledge and Qualifications on Resume

1. BS in Computer Science with 1 Year of Experience

  • Practical experience with multiple statistical languages (SAS, R, Pandas), data processing, database programming, and data analytics
  • Solid background in data mining and statistical analysis
  • Experience with programming languages such as Python and R
  • Knowledge of data visualization tools (e.g. Tableau)
  • Strong collaboration skills - partner well with others to solve problems and actively incorporate input from various sources
  • Excellent oral and written communication skills
  • The ability to work with key stakeholders to drive business results
  • Open-minded and excited to learn and grow technology skills
  • Ability to thrive in a fast-paced, collaborative environment
  • Ridiculous attention to detail and pride in the work you do

2. BS in Mathematics with 4 Years of Experience

  • Experience with statistical software (R, Python, S-Plus, SAS, or similar) and with database languages (e.g., SQL).
  • Experience working with data analysis.
  • Experience with statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods.
  • Ability to draw conclusions from data and recommend actions.
  • Demonstrate leadership, self-direction, and willingness to both teach others and learn new techniques.
  • Experience in one or more targeted areas (Computer Vision, Natural Language Processing, Optimization, etc)
  • Possesses the ability to communicate with all levels of management, multitask and work with cross-functional teams
  • Able to thrive in a fast-paced work environment, provide insights from data that help to improve the product
  • Manipulates large data sets and possesses analysis skills
  • Have interested in large user-generated content platforms

3. BS in Statistics with 3 Years of Experience

  • Demonstrable project experience in Data Science/Analytics (Github links preferable)
  • Strong ability to write robust code in Python
  • Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like sci-kit-learn, StatsModels)
  • Proficient in evaluation metrics (MAPE, F1, RMSE, Confusion Matrix)
  • Strong problem-solving skills
  • Excellent verbal and written communication skills
  • Knowledge of Deep Learning Frameworks like Tensorflow, PyTorch, etc.
  • Familiarity with working with Azure, AWS, GCP, etc.
  • Experience with NoSQL databases, such as MongoDB, Cassandra
  • Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling

4. BS in Data Science with 2 Years of Experience

  • Experience in a quantitative discipline such as Statistics, Mathematics, Data Science, or Computer Science
  • Experience working as a data scientist or a similar role involving data extraction, analysis, and statistical modeling.
  • Programming experience in Python, R or equivalent
  • Background in applied statistics or machine learning
  • Experience in predictive modeling, data science and analysis
  • Demonstrate experience in data science and data analysis
  • Deep understanding of text representation techniques (such as n-grams, a bag of words, sentiment analysis, etc)
  • Critical thinking skills or problem-solving skills
  • Have excellent collaboration skills and work comfortably across teams
  • Outstanding written and verbal communication skills to engage both technical and non-technical audiences and a willingness to collaborate with business partners

5. BS in Applied Mathematics with 3 Years of Experience

  • Good understanding of statistics, software system design and distributed architectures
  • Class project/experience in building data and feature extraction pipelines (ETL, both batch- and stream-data processing) in a relevant context
  • Knowledge in secure deployment of data science models and building efficient APIs for them
  • Experience or affinity with signal and image processing 
  • Experience with finding causality in signals, capturing uncertainty in models, Bayesian modeling, interactive visualization and user interaction
  • Knowledge in Statistical Modeling and Predictive Modeling, Deep Learning
  • Excellent coding skills using state-of-the-art machine learning libraries (e.g. Python/R)
  • Thinks creative, out of the box, self-going, fast learner, good coder and designer
  • Experience in communicating technically, at a level appropriate for the audience.
  • Ability to thrive in a fast-paced, dynamic and ever-changing start-up environment.

6. BS in Data Analytics with 1 Year of Experience

  • Experience with data manipulation and analysis
  • Working knowledge of relational databases
  • Ad-hoc SQL query development, R, SAS or C++ skills
  • Experience working with data analytics-driven solutions with sensitive data sources
  • A high degree of creative, analytical and problem-solving skills
  • Ability to gather and interpret information and to develop, recommend and implement solutions
  • Previous experience with Company Products such as AFT
  • Displays good written and oral communication skills
  • Demonstrates strong computer skills including a good working knowledge of MS Office
  • Strong analytical and problem-solving skills

7. BS in Information Technology with 2 Years of Experience

  • Experience working embedded within a growth or product team
  • Strong quantitative, analytical, and problem-solving skills
  • Strong proficiency in Microsoft Excel, database management, VBA, AWS, SQL
  • Strong proficiency in R or Python
  • Familiar with GIS software and location-based data set
  • Ability to think and act independently to assess and prioritize new opportunities and present findings to acquisition and senior management teams
  • Demonstrated ability to lead and complete predictive modeling and data science-related projects
  • Self-starter with and strong work ethic 
  • The willingness to work in a demanding, highly focused, and collaborative environment
  • Pragmatic and gets things done

8. BS in Economics with 1 Years of Experience

  • Basic Data modeling knowledge
  • Experience with at least one statistical programming tool, such as R, SAS or Python
  • Experience with at least one data visualization tool, such as Qlik, PowerBI or Tableau
  • Strong collaboration and teamwork skills, with problem-solving skills
  • Strong communication skills (verbal and written)
  • Competent business etiquette and business ethics
  • A history of entrepreneurial and innovative efforts
  • Strong experience with MS Productivity Suite (Word, Excel, PowerPoint, etc.)
  • Ability to learn and adapt quickly, especially to technology
  • Ability to analyze and document both business and technical processes
Relevant Information
Data Science Analyst Skills, Experience, and Job Requirements