Data Science Intern Resume Sample

4.8
12 votes
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Lupe Cassin
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Work Experience


Ramp Data Science Intern
10/2016 - PRESENT
Chicago, IL
  • Freedom to explore the applicability of new approaches and technologies
  • Working on the backbone of the company's predictive modeling arm
  • Collaborates with business partners to understand business objectives/goals and then develops a clear and well-defined analytic plan that supports obtaining those objectives
  • Translates business requirements and executes analytic life cycle
  • Performs more advanced data extraction and data manipulation using data of various size and structure. Explores data to understand and articulate the data profile and its limitations
  • Performs predictive modeling and association modeling such as segmentation analysis, data modeling, risk modeling, behavioral analysis, cross-selling analysis, and customer churn analysis
  • Develops trusted, actionable outcomes by applying appropriate analytical techniques and metrics
  • Communicates clear outcomes at varying levels of detail
  • Proficient at SQL and/or NoSQL to gather data from source systems
Teradata Global Support Organization Data Science Intern
02/2013 - 08/2016
Boston, MA
  • Statistical analysis and machine learning background
  • Thorough proficiency in data visualization
  • Knowledge of structured and unstructured data platforms
  • Strong problem solving skills and a high level of intellectual curiosity Ability to self-direct and work independently at times
  • Collaborate with business partners & analytic team members to understand business objectives goals
  • Assist in the development of a clear and well-defined analytic plan that supports obtaining those objectives
  • Support the analytic life cycle
  • Current enrollment in a university or college, studying medicine, engineering or physics
  • Problem solving skills, ability to dive deep and decompose problems to find the root cause
Data Science Intern
03/2007 - 09/2012
Detroit, MI
  • Take a business problem and translate that into a scalable mathematical model
  • Proficient in one or more programming languages such as Java, Python, and C
  • Familiar with one or more machine learning or statistical modeling tools such as R, Matlab, and scikit learn
  • Global Research – Work with a global team to develop methodologies for integrating data from consumer, media and other sources to develop country-specific insights on consumer attitudes and behaviors
  • Process Optimization – Propose approaches for using emerging technologies to enhance and standardize data science capabilities across a range of Nielsen client products
  • Deepen Analytical Skills – Apply advanced analytic techniques to derive new insights for clients on consumer behavior and media use to help “tell a story” or answer an issue of client concern
  • Measurement Innovation – Partner with leading data scientists, technology experts, and engineers to develop new ways of assessing and measuring a range of consumer attitudes and behaviors to drive new client insights
  • Just the right kind of work for a passionate data scientist and engineer

Education


Grand Valley State University
2003 - 2007
Science's Degree in Statistics

Professional Skills


  • Strong analytical skills, Good team player, Attention to details, Good communication skills
  • Strong analytical and critical thinking skills with a strong bias toward actionable insights; love for finding insights and getting others to act on them
  • Strong written and verbal communication skills; experience summarizing and presenting information in a way that provides clarity and interest
  • Excellent oral and writing skills; ability to communicate effectively with varying audiences
  • Solid English communication and writing skills; communication skills in an additional European language are considered an advantage
  • Excellent written and verbal communication skills, communicating effectively verbally, with data and narrative
  • Have strong interpersonal skills and ability to work effectively in a team environmen

How to write Data Science Intern Resume

Data Science Intern role is responsible for java, business, analytical, programming, development, interpersonal, research, technical, visualization, software.
To write great resume for data science intern job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Data Science Intern Resume

The section contact information is important in your data science intern resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Data Science Intern Resume

The section work experience is an essential part of your data science intern resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous data science intern responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular data science intern position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Data Science Intern resume experience can include:

  • Strong programming skills with a scripting language such as Python, Perl, and shell programming are required
  • Good scripting and programming skills (Python/R on Jupiter notebooks)
  • Strong programming skills in R, Python, SQL, Java or Linux
  • Strong programming skills: Python, Scala, C # or Java
  • Excellent organizational and communication skills, coupled with the ability to adapt to new conditions, assignments and deadlines
  • Applying the problem solving skills to break the business problems into different modules and figuring out the underlying hypotheses to test

Education on a Data Science Intern Resume

Make sure to make education a priority on your data science intern resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data science intern experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school

These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Data Science Intern Resume

When listing skills on your data science intern resume, remember always to be honest about your level of ability. Include the Skills section after experience.

Present the most important skills in your resume, there's a list of typical data science intern skills:

  • Strong interpersonal and collaboration skills - strong oral, written communication and presentation skills
  • Have strong interpersonal skills and ability to work effectively in a team environment
  • Demonstrated computational skills and experience with R
  • Strong skills in machine and/or deep learning algorithms, data cleaning, feature extraction and generation
  • Demonstrated skills in the following languages: Python, HTML, and javascript
  • Excellent applied statistics skills, such as distributions, statistical testing, regression, etc

List of Typical Experience For a Data Science Intern Resume

1

Experience For Ramp Data Science Intern Resume

  • Solid programming skills in Python, Java or C++
  • Strong organizational, analytical and problem-solving skills with high attention to details
  • Strong communication skills to communicate findings
  • Outstanding oral and written communication skills with the ability to discuss financial/business strategies and translate into actionable plans
  • Strong experience in machine learning, working with large datasets, and developing novel research ideas
  • Prior statistical modeling and/or machine learning experience are desirable
  • Passionate to enhance technical, medical and team working skills
2

Experience For Data Science Intern With SQL Resume

  • Continue developing ML skills, model development and deployment
  • Exposure to Big Data skills across Hadoop, Spark, open source tools, relational/non-relational storage, data warehousing, and solution development
  • Primary App Planning, design and development skills
  • Data Munging Skills
  • Work on own initiative and time manage effectively
3

Experience For Teradata Global Support Organization Data Science Intern Resume

  • Big data management and querying skills
  • Great communication skills - capable of presentations that are story driven
  • Able to communicate in English effectively, both written and verbal
  • Understanding of basic systems engineering concepts and principles with demonstrated uses in coursework (term projects) or capstone projects
  • Experience with handling big data: processing, filtering, and presenting (100K - Millions of rows) of data
4

Experience For Data Science Intern Sony Pictures Television Resume

  • Thorough understanding of data mining algorithms and extensive experience applying techniques to large data sets using R or SAS
  • Experience in machine learning (deep learning) and natural language processing
  • Experience with large data sets, data mining, natural language processing, deep learning and distributed algorithms is highly desirable
  • Problem solving ability and experience in analyzing and presenting complex data
  • Experience with a programming language and/or tool for data mining/machine learning, such as Python/Pandas/Scikit-learn, R, Matlab, TensorFlow is required
  • Experience analyzing data using Python, R, Matlab or similar machine learning tools
  • Good understanding of the most important Machine Learning and Statistical techniques
  • Hands on experience and thorough understanding of the deep learning models
  • Very good English both in writing and speaking
5

Experience For Business Intelligence / Data Science Intern Resume

  • Experience with clustering, PCA and other unsupervised learning techniques
  • Experience understanding customer requirements and translating into analytical solutions
  • Experience with applied predictive modeling, machine learning and data analysis
  • Experience with data analysis including data modeling/representation such as XML, JSON, DDF, or similar
  • Demonstrated success applying machine learning to complex problems
  • Experience with statistical analysis, data mining, and machine learning
6

Experience For Healthcare Data Science Intern Resume

  • Experience with one or more computer programming/scripting languages (e.g. Python, Java, or C++)
  • Applied experience with machine learning on large datasets and data mining
  • Hands-on coding experience with data ETL and data modeling tools such as Informatica, SAS, or other open source tools and packages
  • Experience writing SQL and working with databases
  • Experience visualizing and communicating results to both technical and non-technical stakeholders
  • Experience with working on large data sets in a distributed computing environment
  • Experience with working on large data sets in a distributed computing environment like Spark
  • Experience with deep learning frameworks, including Keras and Tensorflow
  • Strong interest in supporting consumer-facing functions for consumer products, retail, tech, or telecom industries
7

Experience For Legal Data Science Intern Resume

  • Graduate level course work and experience in researching deep learning theory and applications
  • Experience in applying real-world healthcare data in a health-related industry, academic or research setting
  • Good understanding of Machine Learning algorithms
  • Data experiment scoring and validation
  • Experience of Machine Learning techniques and their application
  • Good at communicating your (technical) results to other analysts and business owners
  • Experience with Natural Language Processing models
  • Experience with data structures using Pandas
  • Resource with experience/training in Statistics, Mathematics and Computer Science
8

Experience For Graduate Data Science Intern Resume

  • Experience team work and contributing components to a larger project
  • Statistical Weighting experience
  • Good mathematical background, including statistics and regression techniques
  • Experience with programming languages such as Python, Java, R, C/C++; use of SQL
  • At least 6 months of experience or coursework in open source programming languages for data analysis
  • At least 6 months of experience or coursework in inferential statistics or machine learning
9

Experience For Data Science Intern Data Technology & Innovation Resume

  • Are in good academic standing and have a GPA of at least 3.0
  • Strong programming ability, preferably in python, SQL, and Spark
  • Strong interest in developing data science fundamentals
  • Experience using Python to do ML/AI
  • Experience Python coding in TDD or BDD paradigms
  • Experience working on Retail Industry use cases such as Recommender systems, Product Assortment, etc
  • Experience with coding is beneficial
10

Experience For Software & Data Science Intern Resume

  • Programming experience in R and T-SQL
  • Professional experience collaborating with multiple teams at a company
  • Strong foundations in machine learning and data visualization
  • Good coding practices, ability to write efficient, readable and error free code
  • Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a Hadoop framework

List of Typical Skills For a Data Science Intern Resume

1

Skills For Ramp Data Science Intern Resume

  • Strong Modeling Experience across Logistic Modeling, Regression, Time-series and Forecasting
  • Develop skills in translating customer usage patterns & issues
  • Detailed oriented person with analytical skills
  • Demonstrated skill in the use of one or more analytic software tools or languages (e.g. Python, R)
  • Experience working with relational databases and using SQL
  • Hands-on experience with medium to large datasets (i.e., data extraction, cleaning, analysis and presentation)
  • Experience in translating output from statistical models to business value through creative data visualization techniques
  • Experience with general and statistical programming languages, R and/or Python
2

Skills For Data Science Intern With SQL Resume

  • Demonstrated ability to quickly learn any data, language or tool required to do the job
  • Experienced engineers to work with and learn from
  • Extracting, transforming, and loading data in preparation for analysis
  • Developing and evaluating statistical inference models based on those features, solving a costumer’s problem
  • Determining needs for end-to-end/system test plans
3

Skills For Teradata Global Support Organization Data Science Intern Resume

  • Helping to deliver a framework in which the above mentioned classification and forecasting improvement processes are clearly defined and structured
  • Engineering features incorporating domain expertise and statistical aggregations
  • Challenging role in an open, innovative and international company
  • Deploying analytic solutions to production platforms, ready to be used in one of Honeywell’s products or services
  • Work with cloud-based ETL/data warehousing concepts as well as data science algorithms in signal processing, feature engineering, and model building
4

Skills For Data Science Intern Sony Pictures Television Resume

  • Maintain optimum customer reported issues and engineering alignment on a system testing basis
  • Deep understanding of Data Science and Analytics, Artificial Intelligence, Machine Learning, Optimization, Simulation, or similar
  • An interest in using machine learning and predictive analytics to tell a story and inform decisions
  • Tech interns get lots of great perks including food, local transportation and more…
  • Statistical and data modelling is advantage (SAS, Python, R, adobe Omniture etc.)
  • Knowledge of developing solutions in Java, Scala, Python or similar languages
  • This is a paid 10 week internship, 40 hours a week
5

Skills For Business Intelligence / Data Science Intern Resume

  • Start date is early June to mid August
  • Proficiency with SQL and database technologies
  • Understand RingCentral backwards and forwards
  • Execute test configurations for end-to-end/system
  • Forecasting, followed by analysis and improvement of the actual sales, using different data driven machine learning methods for classification and predictive applications
6

Skills For Healthcare Data Science Intern Resume

  • Available at least for 3 months and at least 4 days a week
  • Specific affinity with data science, mathematics and statistics
  • Student in STU , Math Phys passionate by Computer Science/IT or similar studies
  • Interest in statistics, big data and/or data science
  • Data transformation and database development is necessary ( ETL, SQL OLAP, Teradata)
  • Develop, train, evaluate, and present complex analytical models
  • Develop predictive methods and analysis of untapped, huge data pools
7

Skills For Legal Data Science Intern Resume

  • Collaborate with data scientists, software developers, and business partners
  • Solid training and strong working knowledge in a variety of theory and techniques in Machine Learning and Data Mining to fulfill tasks of correlation analysis, clustering, association analysis, sequence analysis, time series analysis, etc
  • Contribute to independent projects focusing on the use of data and analytics to solve problems in education
  • Paid internship with flexible working time
  • Expertise in algorithms and data structures background
8

Skills For Graduate Data Science Intern Resume

  • Work collaboratively with software engineers and data engineers to develop powerful predictive models
  • Report data findings creatively to internal teams and externally to our partners
  • BS/MS in Computer Science, Information Systems or a related technical field or equivalent industry expertise
  • Work with multiple internal clients simultaneously
  • Make and/or understand progressions
  • Knowledge of a statistical software like STATA, Python
  • Personal protective equipment for connected workers
9

Skills For Data Science Intern Data Technology & Innovation Resume

  • Work with the Data Science team to develop robust statistical and machine learning models to better understand player behavior, engagement, and feedback; evaluate and quantify the impact of ongoing game changes; and provide insights on immediate and long-term business decisions
  • Excellent communication skills with ability to follow verbal and written instructions and ability to organize and document research results accurately
  • Proven experience taking a concept and building a fielded, maintainable product
  • Experience evaluating, fitting, and interpreting results of common statistical models
  • Experience building data warehousing or analytics solutions
10

Skills For Software & Data Science Intern Resume

  • Experience with both SQL and NoSQL databases, various data warehousing and analytical architectures
  • Extensive experience in engineering design and agile process
  • Programming experience in a professional or academic environment
  • Experience with a scripting language, preferably python or R
  • Experience with state management and version control tools such as Docker and Github,
  • Experience with Map-Reduce, Pig or Hive are also desirable

List of Typical Responsibilities For a Data Science Intern Resume

1

Responsibilities For Ramp Data Science Intern Resume

  • Work with Millennial’s product, engineering and operations teams to transform your ideas and prototypes into deployed code processing billions of transactions per day
  • Develop a solid understanding of MediaMath’s business context, key problems and issues of importance to the company, and the ways in which data-driven models and algorithms can help drive performance and provide insights
  • Excellent stakeholder skills; and ability to interact with a wide range of teams across the organisation
  • Contribute actively in various business development efforts and demonstrate skills to undertake new kind of work in Analytics
  • Prior experience in modeling utilization would be helpful
  • Strong knowledge of data science techniques such as model selection and validation
2

Responsibilities For Data Science Intern With SQL Resume

  • Document, organize, and communicate thoughts and ideas effectively
  • Effectively handle confidential information and materials
  • Experience or strong knowledge of relational and hierarchical data base structures
  • Advanced analytical and communication skills
  • Visualization and UI skills
  • Prior experience in big data analytics
  • Programming experience: Python, Spark, R, SQL, Hive, JavaScript, Visual Basic, C++
3

Responsibilities For Teradata Global Support Organization Data Science Intern Resume

  • Experience working with programming and scripting languages such as
  • Experience in using Machine Learning platform: BigML, Amazon ML (i.e. Amazon SageMaker), Microsoft Azure ML, etc
  • Experience in using Keras, TensorFlow, Caffe, Torch/PyTorch, Theano, mxnet or any other Deep Learning framework
  • Works with experienced departmental staff to learn modeling and actuarial techniques, data sources, and spreadsheets to conduct reviews of rating factors
  • Experience in programming or scripting to enable ETL development
  • Experience with machine learning, predictive modeling, and statistical analysis techniques in a business environment
  • Experience in implementing machine learning solutions in Python or similar languages
  • Experience with a scripting language (e.g. Python, Perl)
  • Extensive programming experience in Python or other languages
4

Responsibilities For Data Science Intern Sony Pictures Television Resume

  • Experience in using any visualization libraries: matplotlib, seaborn, plotly, etc
  • Strong in at least one general purpose programming language such as C/C++, Java or Python
  • Experience with cloud computing such as Hadoop and Spark
  • Experience with web technologies, including HTML, CSS, Javascript
  • Previous Work or educational experience in the following areas
  • Experience coding in C+++/C# is highly desired
  • Experience presenting complex analysis to a variety of audiences
5

Responsibilities For Business Intelligence / Data Science Intern Resume

  • Experience with SAS, R or a comparable programming language is highly desired
  • Demonstrated ability to transform data into insight for making better decisions
  • Experience using Tableau or Spotfire to visualize large data sets
  • Deep, proven expertise in Data Science and Analytics, Probability Analysis, Pattern Recognition, and Mathematical Modeling
  • Experience working on database(s)
  • Experience in statistical models, data analysis and visualization
  • Proven ability to succeed in both a collaborative and independent work environment
6

Responsibilities For Healthcare Data Science Intern Resume

  • Applicants with 6 or more months of actuarial or related analytical experience (not required)
  • Experience with statistics and data analytics
  • Operate research equipment (i.e. scintillation counters, microscopes, centrifuges, balances) and record results
  • Experience with common data science toolkits, such as R etc. Excellence in at least one toolkit is highly desirable
  • Demonstrate the value of data products and data derived insights to business stakeholders
  • Previous experience at a financial institution/fin-tech firm is preferable
  • Experience in statistical tools such as R, MATLAB, Stata
  • Experience in visualization tools such as Tableau
  • Operates statistical analysis software for the management, analysis and visualization of data
7

Responsibilities For Legal Data Science Intern Resume

  • Experience with data visualization tools, such as Matplotlib, Bokeh, or plotly
  • Experience in query languages such as SQL
  • Work with cross-functional teams to productionalize, validate, and optimize methodologies
  • Experience with Google suite of applications
  • Experience in Spark ML/MLLib
  • Experience in any graph database: Neo4J, OrientDB, AllegroGraph, JanusGraph, etc
8

Responsibilities For Graduate Data Science Intern Resume

  • Strong ability to code in Python or Java
  • Experience with data analytics tools such as R, Statistica, MATLAB and SAS
  • Experience with big data techniques (such as Hadoop, MapReduce, Hive, Hbase, Spark)
  • Experience or coursework with relational databases
  • Experience or coursework with large scale data analysis
  • Previous industry experience or internships in product related analytics
  • Experience with programming and data tools such as R, Python, Hadoop, ArcGIS, H20, Spark, Github, etc
  • Experience with Hadoop and Hadoop components
  • Experience in user interface(UI) design and web-based application development
9

Responsibilities For Data Science Intern Data Technology & Innovation Resume

  • Experience with statistical software such as R or SAS
  • Proven application of advanced analytical and statistical methodologies
  • Experience in ML/AI and predictive analytics and statistics
  • Experience with databases and data warehouses such as SAP, SQL, Oracle, DB2 with the ability to understand the data sources and extract data as needed
  • Selecting features, building and optimizing classifiers using machine learning/deep learning models with focus on anomaly detection
  • Gathering, cleaning and structuring existing data
  • Creating new or iterating on reports already existing in Power BI focused on
10

Responsibilities For Software & Data Science Intern Resume

  • Identifying and cataloging strengths and weaknesses of respective data sources, noting areas of questionable data that could sidetrack analytic output
  • Applying Matlab, Python, and/or OpenCV to meaningful research and practical engineering problems in the area of image processing
  • Extracting, cleaning and modeling data
  • Collecting, managing and reformatting data sets for use in data analysis applications
  • Improving data collection procedures to include information that is relevant for building analytic systems
  • Crafting automated anomaly detection systems and constant tracking of its performance

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