Data Science Intern Resume Samples

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CK
C Kuhic
Carmella
Kuhic
4149 Bernier Station
Houston
TX
+1 (555) 764 5700
4149 Bernier Station
Houston
TX
Phone
p +1 (555) 764 5700
Experience Experience
Houston, TX
Data Science Intern
Houston, TX
Reichel and Sons
Houston, TX
Data Science Intern
  • Assist the Director of the team in preparing information related to solving for internal process improvements
  • Dive in and work with our data science team to develop new data-centric products involving new and innovative algorithms
  • Perform analysis and develop analytical models to maximize SEM revenue growth
  • Process Optimization – Propose potential research-on-research tests to improve current Nielsen methodologies and improve response and compliance
  • Identifying opportunities for improvement within existing software applications and frameworks
  • Using current programming languages and technologies, writes code, completes programming, and performs testing and debugging of applications
  • Participating in development of analytical models using Machine Learning
New York, NY
Ramp Data Science Intern
New York, NY
Sporer, Schulist and Zieme
New York, NY
Ramp Data Science Intern
  • Current student, pursuing an MS or PhD in Computer Science, or Electrical Engineering and will be graduating between December 2017 and June 2018
  • Actively engage in rapid prototyping of new technologies within the Big Data technology landscape
  • Challenge current best thinking, test theories, evaluate feature concepts and iterate rapidly
  • Proficient in Microsoft Office applications
  • Deep engagement with documentation of semi-conductor data and process
  • Strong team-player who can collaborate with colleagues
  • Working through the full flow of very challenging data problems anywhere from data cleaning, to building a concept of the model to extracting the right features and testing the model to drive better decision making through various data and statistical modeling techniques, algorithm development involving real-world noisy data
present
Houston, TX
Year Round Data Science Intern
Houston, TX
Morar and Sons
present
Houston, TX
Year Round Data Science Intern
present
  • Teamwork… With a dash of independence
  • GPA of 3.0 or higher. Going to class is #vital
  • Mistakes. Catch them. If you don’t. Learn from them
  • Knowledge of Java or Python Programming
  • Technology. Embrace it
  • Talking. You have to do it effectively
  • Volunteering. You care about more than just you
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
West Virginia University
Bachelor’s Degree in Computer Science
Skills Skills
  • Ability to produce quality work products with attention to detail
  • Excellent communicator. Able to engage and excite diverse audiences in written and spoken format
  • Highly self-motivated and adaptable in regards to learning and understanding new technologies
  • Ability to code in Python; knowledge of Unix shell scripting
  • Good project management skills with the ability to juggle multiple deadlines
  • Good knowledge of R, SAS, SQL or similar skills are
  • A strong communicator who is able to explain technical issues in a non-technical way
  • Ability to gauge the complexity of machine learning problems and a willingness to try simple approaches for quick effective solutions
  • Intermediate level knowledge of Java or C++
  • Fluent English knowledge - both verbal and written
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15 Data Science Intern resume templates

1

Data Science Intern Resume Examples & Samples

  • Masters, PhD or 4+ years experience in computer science, applied mathematics, or other quantitative / computational discipline
  • 2+ years experience with scripting languages (e.g., Ruby, Perl, Bash)
  • A passion for empirical research and for answering hard questions with data
  • Eagerness to collaborate with both technical colleagues and non-technical ones in the editorial, product management, marketing, and executive leadership spheres
2

Graduate Data Science Intern Resume Examples & Samples

  • You should be enrolled and actively pursuing an MS or PhD degree in Computer Science, Statistics, Electrical, Computer Engineering or related field
  • Candidate must have 6+ months of work or educational experience in the following areas
  • A firm understanding of software engineering and data collection and analytics tools
  • Proficiency in object-oriented languages like C#/Java, Web technologies including Javascript
  • Experience in creating and implementing interactive charts, graphs, and other user interface elements
  • Experience with SQL database
  • Experience working in Web-based visualization/reporting
  • Javascript libraries like jQuery, D3.js, Node.js
  • Experience working in R
  • Prior industry experience, including prior summer internships
  • Strong analytics skills
  • Knowledge of Big data technologies
  • Experience in web servers like Apache is nice
3

Data Science Intern Resume Examples & Samples

  • Dive in and work with our data science team to develop new data-centric products involving new and innovative algorithms
  • Work with Millennial’s product, engineering and operations teams to transform your ideas and prototypes into deployed code processing billions of transactions per day
  • Excellent understanding of algorithms and data structures
  • Strong problem solving and analytical skills
  • Great oral and written communication and presentation skills especially when communicating complex ideas to a non-technical audience
  • Experience with UNIX environments (Linux)
  • Experience with software development in Java or Scala
  • Experience with Hadoop or Spark
4

Data Science Intern Resume Examples & Samples

  • Work experience -- Experience working in a fast-paced technology company and/or experience juggling multiple stakeholders
  • Surveys --Experience designing and analyzing data from longitudinal survey research including creating models of habits, practices, decision-making, attitude measurement, behavior prediction, classifying techniques, and machine learning methods
  • When needed, develop scripts in R or Python to automate the cleaning/transformation of data & have them connect to dashboards
  • Experience with analytics software (Ominiture/Site Catalyst, google analytics, mixpanel, etc.) preferred but not required
5

Data Science Intern Resume Examples & Samples

  • Analyzes historical trends using statistics and programing languages (R, SQL, Python, Java) to provide recommendations on how to increase revenue or reduce costs
  • Experience or practice writing programs in PL/SQL, R, STATA or similar statistical package
  • Experience or practice writing data scrubbing routines in a procedural language
  • Collaborate with business on requirements to refine the projects goals, scope and timelines
  • Collaborates with technology for coding standards, data access, data security, data interpretation to build predictive analytics models
  • Develops models that can be deployed, operationalized and used by the business
6

Data Science Intern Resume Examples & Samples

  • Work with senior data scientists using data mining techniques, machine learning algorithms to solve online advertising fundamental problems
  • Design proofs of concept and evaluate performance of such models
  • As part of a team, develop, test, and integrate critical machine learning models into production
  • Be responsible for retrieving data from hadoop data warehouse, cleaning up, analyzing, modeling and presenting results to product managers and engineers
  • Collaborate with product, engineering and operations teams
  • Eager to learn new technologies, have curiosities and want to work on large-scale dataset (billions of records per day)
  • Are enthusiastic about realizing your ideas into real product
  • Want to work as part of collaborative team and develop communication skills
  • Machine Learning/Data Mining/Statistics,
  • Database, data structure knowledge, such as big data, hadoop, etc
  • Scripting languages, R, Python, etc
  • Ability to work up to 40 hours per week for the summer
7

Data Science Intern Resume Examples & Samples

  • Opens, sorts, and distributes mail
  • Processes routine items and records
  • Answers phones and takes messages or provides information
  • Operates various office equipment
  • Assists with projects to ensure deadlines are met
  • Regular, consistent and punctual attendance. Must be able to work
8

Data Science Intern Resume Examples & Samples

  • Work with senior data scientists and analysts using machine learning algorithms to solve causal measurement fundamental problems
  • Design proofs of concept and evaluate performance of such analysis
  • Be responsible for retrieving data from data warehouse, cleaning up, analyzing, modeling and presenting results to product managers and engineers
  • Collaborate with product engineering and client service teams
  • Graduate student in Computer Science, Electrical Engineering, Math, or related majors. Discipling with coursework or demonstrable knowledge of
9

Data Science Intern Resume Examples & Samples

  • Advanced degree coursework in Applied Statistics
  • Related internship experience or coursework in Reinforcement Learning
  • Expert Level in R
10

Genomics & Data Science Intern Resume Examples & Samples

  • Current graduate student enrolled at a university within the U.S. with a focus in the following areas: bioinformatics, statistics, computational biology, microbiology or ecology
  • Must be returning to school upon completion of the internship to continue current or advanced program of study
  • Proficiency in one scripting language (R or Python preferred)
  • Familiarity with shell scripting in a cloud environment
  • Basic experience with handling next-generation sequencing data (amplicon based, genomic, or metagenomic)
  • Hands-on experience with metagenomic assembly and analysis
  • Domain knowledge among multiple sciences (e.g. bioinformatics, microbiology, ecology, agronomy)
11

Computational Biology / Data Science Intern Resume Examples & Samples

  • Learn about genomics and big biological data
  • Write code in R, Python, or higher-performance languages
  • Develop statistical approaches to test hypotheses
  • Develop informatics pipelines to summarize and present genomic analysis
  • Maintain a clear record of research progress, data, and algorithms
12

Data Science Intern Resume Examples & Samples

  • Planning, designing and developing next-generation “big data” solutions with support of the ACI team
  • Learn and understand the ACI business domain areas and work to develop state-of-the-art analytical solutions that provide business units with forecasting/trending data that allows for decision making and improvements
  • Develop a deep understanding of ACI systems and processes in order to extract insights from existing data while identifying and recommending improvements to improve data quality and drive better business decisions
  • Provide end-to-end analysis on business intelligence projects, and write detailed functional specifications translating business requirements in functional constructs
  • Define and drive the implementation of new metrics and process improvements
  • Drive the implementation of automated processes for uploading, managing and reporting on metrics data
  • Document policies and procedures required to support new processes and system enhancements
  • Provide stakeholder support and training on new processes and
  • Eager to learn new technologies, have curiosities and want to work on large-scale datasets
  • Want to be a part of a journey to establish a Business Intelligence Center of Excellence at ACI
  • Enthusiastic about realizing your ideas into real solutions
  • Want to work as part of collaborative team and develop communication, business intelligence and analytical skills
13

Year Round Data Science Intern Resume Examples & Samples

  • Minimum of a Masters level student based in a school local to Cary, NC
  • Microsoft Office. (Word, Excel, Outlook, PowerPoint, and/or SharePoint)
  • To be eligible, students must be enrolled in a degree seeking program and not be graduating prior to the beginning of the internship
  • Knowledge of scalable computing, machine learning, and cognitive computing
  • Knowledge of Java or Python Programming
  • Emails. You have to know how to write them
  • Talking. You have to do it effectively
  • Mistakes. Catch them. If you don’t. Learn from them
  • Technology. Embrace it
  • Teamwork… With a dash of independence
  • Leadership. You sit in the front row of the class
  • Volunteering. You care about more than just you
  • An interest in technology, specifically in big data analytics
  • GPA of 3.0 or higher. Going to class is #vital
14

Data Science Intern Resume Examples & Samples

  • Working in a fast-paced, innovative, and change-oriented work environment that could ultimately lead to full-time opportunities
  • Building a strong network of peers and mentors
  • Attending on-site technical and professional development classes
  • Participating in sponsored community service events
  • Pursuing a bachelor's degree in Computer Science, Mathematics, or related field
  • High aspirations for a career in data mining
  • Strong mathematical background
  • A background in programming – particularly in SQL, Python, R, SAS, etc
  • Demonstrated proficiency in oral and written communications
  • Minimum or better 3.2 GPA on a 4.0 scale
15

Data Science Intern Resume Examples & Samples

  • Challenging the status quo - Identification of process issues impacting data quality & Nielsen employee efficiency and then implementation of solutions to correct these issues
  • Develop a Business Case - Evaluate new business intelligence software to develop a recommendation on upgrading
  • Simple Solutions - Improve operational efficiency and/or accuracy of a specific measurement system that incorporates complex software, hardware, or both
  • Strong academic record (minimum overall GPA of 3.3)
  • Current enrollment in an undergraduate degree program in
  • Math
  • Economics
  • Market Research
  • Research Methodology
  • Quantitative Social Science
  • Fewer than two years full-time work experience
  • Leadership experience (classroom, campus, summer jobs)
  • Permanent work authorization in the United States required
  • Ability to work in Tampa, FL
  • Coursework in statistics and programming languages such as Python, R, STATA, SAS
  • Initiative, creativity and passion to deliver results to our clients
  • Effective decision-making and problem-solving abilities
16

Data Science Intern Resume Examples & Samples

  • Hand’s-on experience with new technologies, data science approaches, or advance computing in academic, work, and/or extra-curricular forums (e.g., hack-a-thons, personal side projects, etc.)
  • Minimum overall GPA of 3.3
  • B.S. or Master’s in
  • Experience preferred in one stat package (R, Stata, SAS) as well as with survey, statistical, or business analytics
  • Familiarity with distributed computing techniques and related software (Python, MapReduce, etc.)
  • Drive for technical excellence and initiative
  • Intellectual curiosity, creativity and passion to deliver new solutions for the next generation of technology
  • Desire to be part of a global company that gives back to communities
  • A passion for data and analytics
  • An entrepreneurial mindset
17

Data Science Intern Resume Examples & Samples

  • Applicants should have an interest in supporting pharmaceutical product Marketing and Sales initiatives and the ability to apply and interpret basic quantitative results
  • Candidates should have technical experience in database structures, query languages, and structured programming languages as well as MS Office products (i.e., Excel, PowerPoint, Word, and Access)
  • Experience with SAS or a comparable programming language is highly desired
18

Data Science Intern Resume Examples & Samples

  • The Intern will apply data mining algorithms/visualizations to large databases in order to identify actionable business insights that will support marketing and sales activities
  • Projects may be product-specific or focused on issues spanning multiple products
  • At the conclusion of the term, the Intern will share results and recommended actions as a final project presentation
  • Have proficiency in data wrangling and SQL
  • Have a thorough understanding of data mining algorithms and extensive experience applying techniques to large data sets using R or SAS
  • Have experience using Tableau or Spotfire to visualize large data sets
  • Have a demonstrated ability to transform data into insight for making better decisions
  • Have excellent written and verbal communication skills
  • Have the ability to work autonomously and collaboratively as part of a team
  • Minimum of 2 years prior work experience
  • Prior experience using Python
19

Healthcare Data Science Intern Resume Examples & Samples

  • Advance a data science strategy, culture and capabilities within CORE and the broader enterprise by working across technical and strategic groups in both the commercial and R&D organization
  • Identify, evaluate and partner with novel health data and technology opportunities to generate differentiated research and real world evidence in a variety of disease areas
  • Work cross-functionally across the enterprise to understand and support the use of real world data assets (ie EMR, claims, phenotypic data, etc) and to enhance research evidence generation (ie interactive visualizations)
  • Develop communications for internal and external engagements
  • Minimum of (1) year of healthcare domain knowledge in life sciences, health data, health IT and/or the payer marketplace
  • Have an understanding of data mining algorithms and experience applying advanced techniques to large data sets
  • Persistent and driven: Demonstrated characteristics of a forward thinker and self-motivator that thrives on new challenges and adapts to learning new knowledge
  • Entrepreneurial and intellectual curiosity in the application and communication of health data
  • Knowledge in advanced analytics and machine learning techniques. This includes expertise in analytics platforms such as Matlab, R, Python; research experience in analyzing big datasets
  • Understanding of business processes in one or more of discovery, research, clinical, commercial, regulatory or safety domains
  • An understanding of the payment reform or payer-provider structures is a plus
20

Data Science Intern Resume Examples & Samples

  • Desire to work on data analysis projects that will improve yield, quality, reduce costs and cycle time, and/or optimize business processes
  • Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques
  • Ability to work with small, big, structured, semi-structured, and unstructured data
  • Experience with or desire to learn
21

Data Science Intern With SQL Resume Examples & Samples

  • Pull and structure large data sets and apply advanced statistical methods
  • Describe key variables impacting the business or process in order to drive decision-making or optimization
  • Collect and transform unstructured data into actionable insight (ETL, Machine learning, stat tool, math)
  • Establishing relationships with key business partners or Point of Contacts to improve added value for business and contribute to improve Process and reduce overall issues via algorithmic solution (Python)
  • Conduct research to identify Web sites and online influencers for improvement
  • Develop and manage online strategic partnerships for client projects
  • Student in Computer Science/IT, Applied Science, Math, Statistics or equivalent science field
  • Data science algorithm ( Machine learning, Anova )
  • Statistical and data modelling (SAS, Python, R, adobe Omniture etc.)
  • Data transformation and database development ( ETL, SQL OLAP, Teradata)
  • Ability to deliver clear and concise presentations to (senior) management on top of complex analytics
  • Knowledge and understanding of IT business and/or interactive online business
  • Good written and verbal communication skills, including presentation skills
  • Ability to find solutions in order to generate measurable results for productivity is necessary as well as the generation of reports on those efforts
  • Being self-reliant and capable of both independent work and as member of a team
  • Team work spirit and enable to be part of a global team, with remote leaders and peers
22

Data Science Intern Resume Examples & Samples

  • Providing academic based thought leadership in the initiation of novel analytical solutions
  • Communicating with team members to help implement robust software design
  • Researching and implementing the newest big data technologies to create solutions at scale
  • Consistently striving to produce the best implementations of the most accurate digital media measurement products on the market
  • Active PhD student in Computer Science or Machine Learning
  • Experience with one or more programming languages (Python, Go, Scala, C++, Ruby, etc.)
  • Experience with standard software development practices including object oriented programming, functional programming, test based design, etc
  • Experience with web technologies/frameworks and Docker containerization
  • Collaborative, positive attitude with desire to work in a demanding, fast paced, and dynamic work environment for a rapidly growing company
  •   Desire to publish novel, cutting edge work and help present at conferences
23

Software & Data Science Intern Resume Examples & Samples

  • Develop and implement his/her own solutions
  • Implement and unify team-developed solutions
  • Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel
  • Any experience with these languages: C, CUDA, R, SQL
  • Some experience using version control systems such as Git or Mercurial
  • Some experience with statistics or applied mathematics including machine learning concepts
24

Data Science Intern Resume Examples & Samples

  • Actively participates in day-to-day business activities of an assigned business unit
  • Contributes to one or more business unit initiative(s)
  • Solid problem solving
  • Good presentation skills
  • Strong quantitative skills
  • Demonstrated leadership, and business acumen
  • R and Python experience
25

Teradata Global Support Organization Data Science Intern Resume Examples & Samples

  • Manage remote connectivity via Server Management to get messages from Customer systems to Teradata Backend applications so customer system events can be monitored, actions can be recommended based on event rules and taken in order to track, investigate and resolve issues as rapidly as possible, for example, new incidents can be created with diagnostics information attached for support engineers to investigate
  • Automate monitoring of the messaging traffic from Customer systems, detection of abnormal traffic and timely notification with proactive recommendations in order to resolve issues immediately, prevent potential issues from happening, protect infrastructure’s ability to process messages and create incidents, and project backend infrastructure capacity requirements to meet SLAs
  • Create and update event rules by collaborating with Product Engineers, Field Services Engineers, and Support Engineers in order to minimize unnecessary false positives and to cover new scenarios where incidents shall be automatically generated
  • Research, design, prototype, test and document novel algorithms for event signature identification, representation, persistence, retrieval and matching, in order to achieve automated, near real time decision making on data and problems
  • Master’s or PhD Candidate in a related discipline (Statistics, Computer Science, Data Science, Mathematics, or Operations Research)
  • Minimum 3.5 GPA
  • Strong in statistics, data mining, developing data analytics solutions based on machine learning such as decision trees, probabilistic reasoning, neural networks, clustering, case based reasoning, natural language processing and text analysis
  • Extensive knowledge of at least one scientific or statistical programming language such as Matlab, R or Python (must include SciPy, NumPy, Pandas)
  • Experience with at least one general purpose programming language such as C/C++, Java or Python
  • Experience working with SQL databases
  • Experience with NoSQL data environments and tools such as Hadoop and/or Spark
  • Ability to collaborate on an interdisciplinary team members to solve problems
  • Self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems
26

Data Science Intern Resume Examples & Samples

  • Utilize quantitative analysis, statistical modeling and machine learning techniques to analyze large data sets
  • Independently run data experiments to identify patterns, trends and insights from data
  • Interpret and present analysis results for other teams to easily consume
  • Working towards a Master's of Science in analytics or a related field
  • Advanced Excel skills
  • Working knowledge of a statistical package (R, Python, SAS, MATLAB, etc.)
  • An understanding of Hadoop, preferred experience in Hive
  • Working knowledge of predictive analytics and data mining techniques including regressions, decision trees, association rules, clustering, etc
  • Ability and comfort working independently
  • Ability to communicate complex concepts in easy to understand terminology
  • Good project management skills with the ability to juggle multiple deadlines
  • Experience solving analytical problems using quantitative approaches, drawing from solid background in mathematics and statistics
  • Comfortable manipulating and analyzing complex, high-volume, high-velocity data from varying sources
  • A strong passion for empirical research and answering hard questions with data
27

Engineering Data Science Intern Resume Examples & Samples

  • Specific responsibilities vary by project area
  • Currently pursuing a Bachelors or Masters degree in Math, Analytics, Statistics or related technical field
  • Must be currently enrolled in a full time degree program and returning to the program after the completion of the internship
  • Excellent implementation skills (C++, Java, Python)
  • Knowledge of UNIX/Linux or Windows environments and APIs
  • Familiarity with TCP/IP and network programming
28

Data Science Intern Resume Examples & Samples

  • Perform quantitative research using large data sets
  • Do the fundamental research behind new and refine existing data products
  • Guide the software implementation of data products and drive adoption
  • Identify opportunities for Vantiv clients to grow revenue and reduce costs
  • Provide scientific support across all departments and for end customers
  • Innovate new ways data analysis can be used to the company's advantage
  • Collaborate with other business units and functional areas to understand business requirements
  • Extensive experience working with large, real world data
  • Experience with predictive analytics, data mining/pattern recognition and machine learning preferred
  • Strong programming and algorithm development skills as applied to working with large data sets
  • The mentality to get initial results very quickly and iterate
  • Connoisseurship of good science: attention to experimental design, causality, bias, significance, etc
  • Insatiable curiosity, passion and skepticism
  • Big picture thinking and interest in solving fuzzy business problems
  • Extreme attention to detail and motivation to minimize error
  • Excellent communication skills and a team player attitude
  • Ability to maintain professional composure in a dynamic work environment that often requires management/completion of multiple tasks
29

Data Science Intern Resume Examples & Samples

  • Pursuing a degree in Economics, Statistics, Computer Science, Mathematics, or related technical field
  • Hands on experience in executing data analysis, plus for experience using SQL, Hive, R, and/or Python
  • Ability to understand complex business and data systems
  • Ability to clearly communicate complex results to technical and non-technical audiences
  • Versatility and willingness to learn new technologies on the job
30

Data Science Intern Sony Pictures Television Resume Examples & Samples

  • Design statistical models leveraging internal and external data sets to predict the performance of content
  • Apply the appropriate tools, techniques, and data available to address key business questions
  • Conduct exploratory analysis to identify trends and opportunities across the television landscape
  • Share insights and implications of findings with senior leadership in the form of presentations, white papers, and written communication
  • Influence department strategy and roadmap as it relates to data science
  • Work closely with business and technical teams to prioritize analysis needs
  • Learn, grow, and develop using the latest technologies for data analysis (we use Tableau and Alteryx)
  • Opportunities to network, receive mentorship, and gain exposure to many parts of the business
  • 2+ years of experience in an analytical role dealing with large data sets
  • BA/BS in Statistics, Mathematics, Computer Science, Economics, or other quantitative field
  • Proficiency in data mining and statistical modeling
  • Fluency in R or other statistical package
  • Experience with data visualization tools such as Tableau is a plus
  • Possess strong analytical aptitude, intellectual curiosity, and ability to work autonomously and collaboratively to solve problems
31

Data Science Intern Resume Examples & Samples

  • 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
  • Design and develop Machine Learning models and algorithms that drive performance and provide insights, from prototyping to production deployment, across key areas of interest to the company (e.g., bidding optimization, messaging optimization, multi-touch attribution, fraud detection, device identification, cross-device association)
  • Partner closely with Product on the incorporation of new modeling features into our product set, including UI & API layers
  • Act as a subject matter expert on areas of ownership, for both internal and external audiences
  • Contribute to MediaMath Data Science thought leadership via publication of new-to-the-world research in relevant journals, blog entries, etc
  • Studying in a quantitative discipline (e.g., Computer Science, Math, Physics, Statistics, Electrical Engineering, or similar)
32

Data Science Intern Resume Examples & Samples

  • MS degree student in a computational field (e.g., Data Science, Computer Science, Computational Finance, etc.) having completed at least 1/3 of their graduate program with a high GPA
  • BS degree in a quantitative field (e.g., statistics, engineering, computer science) with a high GPA
  • Advanced programming skills in the R language for statistical computing
  • Intermediate programming skills in SQL, JavaScript, HTML, and CSS
  • Substantial experience developing web applications using RStudio Shiny
  • Substantial experience with open-source databases (e.g., MySQL, MariaDB, PostgreSQL, SQLite, MonetDB, etc.)
  • Intermediate programming skills in Python, C++, VBA, and LaTeX
  • Comfortable communicating in one or more foreign languages
33

Data Science Intern Resume Examples & Samples

  • The intern will be responsible for designing data sets and must be comfortable working with large amounts of data
  • Assist the Director of the team in preparing information related to solving for internal process improvements
  • Act as the team liaison when meeting with internal clients
  • Currently pursuing a Masters or PhD in statistics, math, psychology or data science
  • 1+ year(s) experience in research
  • 1+ year(s) working on projects utilizing the scientific method
34

Data Science Intern Resume Examples & Samples

  • Extracting and "massaging" the data needed as input to analytical models
  • Participating in development of analytical models using Machine Learning
  • Developing rich visualization to display the model results
  • Translating analysis results into interpretable business insights
  • Exploring and learning new tool sets and technologies required in Data Science initiatives
  • Earning Bachelor or Master Degree in Computer Science, Engineering, Applied Math or Statistics
  • Understanding of Statistics
  • Experience with data mining & machine learning methodologies
  • R Language knowledge and experience
  • Experience in working with databases and database query language (SQL) is preferred
  • Knowledge/experience in Big Data technologies and tools is a plus
  • Interest in user interface (visualization), reporting
  • MS Word, PowerPoint, and EXCEL
  • Ability to learn new technologies and tools
35

Data Science Intern Resume Examples & Samples

  • Plans, designs, develops and tests data related aspects of software systems or applications
  • Analyzes, programs, and modifies software enhancements and/or new products used in local, networked, or Internet-related computer programs
  • Using current programming languages and technologies, writes code, completes programming, and performs testing and debugging of applications
  • Plans and directs studies of potential electronic data processing applications
  • Designs data visualizations, performs machine learning experiments, understands existing architectures and tests existing implementations for performance, data veracity, etc
36

Data Science Intern Resume Examples & Samples

  • Currently pursuing a Bachelor’s or Master’s degree in Engineering, Computer Science or related discipline at an accredited college or university
  • Must have completed sophomore college level
  • Must be able to participate in an internship prior to
  • 0 GPA
  • Able to work with cross-functional engineers (system development, integration and test) in a global team environment
  • Proficient with MS Office suite of applications (Outlook, Word, Excel, Power Point)
  • Basic knowledge combination of machine learning, data analysis techniques to identify distinguishing traits in systems to distinguish between normal operation and degraded health
  • Proficient with Data Science programming languages
  • Action oriented, results driven, high energy, self-starter, innovative with new approaches to design work, influential with peers and customers and demonstrate critical thinking skills to drive to root cause
  • Demonstrate a positive, can-do attitude; highly motivated individual with the ability to self-start, prioritize, and multitask
37

Data Science Intern Resume Examples & Samples

  • Must be currently enrolled in a Graduates degree program; preferably with Data Science, Mathematics, Statistics or similar
  • Database experience in NewSQL/NoSQL other relational database
  • HL7/ Fast Healthcare Interoperability Resources (FHIR)
  • Open Authorization (OAUTH)
  • Understanding Anthropological Perspective / Theories
38

Data Science Intern Resume Examples & Samples

  • Expertise in R/SAS/Python/Scala
  • Experience with common data science toolkits, such as R, Weka, NumPy, Mat Lab, etc
  • N/A
  • Familiar with machine learning techniques and algorithms such as - k-NN, Naive Bayes, SVM, Decision Forests, etc
39

Data Science Intern Resume Examples & Samples

  • Analyze data sets and prototype as many experiments as necessary to converge to the optimal practical solution
  • Work with Portware’s New York-based Alpha Pro machine learning team in order to expand the predictive modeling services, and work with state-of-the art stack of data modeling paradigms
  • Get responsibility right from the first day and the unique chance to enrich the environment of key metrics Portware's predictive services rely on
  • ETL: extract, transform, and load data
  • Write reusable research code and prototypes for predictive models
  • Excellent analytical skills
  • Proven hands-on design and implementation of machine learning solutions
  • Sound knowledge and application of advanced statistical methods and time series analysis
  • Proficiency with at least one of R, Python, Matlab
  • Strong computer science fundamentals (data structures & algorithms)
  • Solid object-oriented design skills
  • Intermediate level knowledge of Java or C++
40

Legal Data Science Intern Resume Examples & Samples

  • You will work on answering thought-provoking questions from customers, press, and law professors: identifying data that can answer the question, scripting an export of the data in some manner, and explaining the results as well as any caveats
  • You will also work on data visualization and verification for Lex Machina’s public reports and blog posts, which showcase how our data can be used to explore legal trends
  • You’ll be working both with our database (postgresql) and our existing codebase and object model (python/sqlalchemy); you should be comfortable and competent with both
  • Knowledge of basic statistics helpful
  • Clear concise communication and good writing are necessary
  • No legal training is required, but an interest in the law is
  • You must be a voracious and passionate learner, eager to pick up new skills and ideas both technical and legal
41

Data Science Intern Resume Examples & Samples

  • Works to understand the subject matter to provide assistance with the development of the appropriate strategies, plans, tools and approaches to ensure successful implementation
  • Works to think analytically and critically to assist in development efforts, including current workflow analysis and future workflow recommendation, data gap analysis, and business use case elaboration
  • Facilitate effective communications among all team members and leadership to ensure comprehensive understanding of needs, expectations and requirements
  • Ensure collaborative working relationships with corporate departments, divisions, and practices
  • Other duties assigned as necessary, to support the Clinical Informatics Program Office and the Clinical Services Group
  • Basic knowledge of data analysis, use case analysis, and requirements development
  • Proficient oral, written and technical communication skills required
  • Possesses good organizational skills, as well as visual and verbal presentation skills
  • Knows and applies the fundamental concepts and principles gained through experience to solve a range of straightforward problems
  • Flexibility and adaptability to handle a varied set of work assignments
  • Results-oriented with a strong commitment to and ownership of projects
  • Works with direct supervision and developing skills to work independently
  • Bachelor’s Degree or Master’s Degree candidates required (may be in the process of obtaining the degree)
  • GPA of 3.5 preferred
42

Data Science Intern Resume Examples & Samples

  • Participate with other team members in creation of new product concepts and designs for evaluation by Lab’s staff, as well as Acxiom executives, sales teams, and clients
  • Research latest trends in machine learning. While an understanding of the online media platforms is important, it is equally important to research models from areas a diverse as finance, operations, pharmaceutical science, neuroscience, and astrophysics
  • Select and structure online and offline combined data when necessary for predictive and prescriptive modeling
  • Build, evaluate and optimize the models needed to provide intelligence into proof-of-concept products
  • Package models for use by engineering
  • Document work and then participate in transfer of knowledge to product groups once successful products are transitioned into the appropriate business unit
  • Intense data-driven thinking
  • A critical mind that challenges assumptions and looks deeply for inconsistencies in arguments or designs
  • Visual thinking or fluency in a visual art form (e.g. painting, photography) a significant plus
  • Facile with linear algebra, core statistics and data science tools on large data sets. These include solid knowledge of supervised vs. unsupervised learning algorithms, including linear and logistic regression, polynomial regression, regression splines, general additive models, decision trees (bagging, random forests, boosting), support vector classifiers, k-nearest neighbor, k-means clustering and principal components analysis
  • Exposure to at least one advanced machine learning application, such as autonomous robotics, computer vision, or medical diagnostics
  • Comfortable selecting and applying resampling methods (LOOC, k-fold CV, and bootstrap)
  • Understanding of how to regularize models (subset, shrinkage, and dimension reduction)
  • Extensive experience with data preparation and normalization for modelling
  • Deep knowledge of R and the open source ecosystem around it. Exposure to RevoScale R’s optimized math kernel library and parallel processing capabilities
  • Ability to code in Python; knowledge of Unix shell scripting
  • SQL mastery, including techniques for writing efficient code over large data sets
  • Experience with Microsoft Azure ML environment, incorporating R scripts
  • Experience with the basic Hadoop stack, including Mahout, Hive, Pig, HBase, HDFS, and Oozie. Knowledge of back-end technologies in the stack like Storm, Spark, Cassandra, etc. a plus
  • Experience/knowledge of other tools like RapidMiner , WEKA, Salford Systems, KXEN in addition to SAS base/stat/Enterprise Miner, SPSS
  • Excellent communicator. Able to engage and excite diverse audiences in written and spoken format
  • Innate curiosity about anything to do with data science and statistics
43

Data Science Intern Resume Examples & Samples

  • Intern must be a rising or current junior, rising or current senior, graduate student, or recent graduate (within 6 months of graduation date) at an accredited college/university
  • Applicants must have completed their sophomore year prior to the start of the internship
  • Must have previous internship experience and/or participated in college clubs/organizations, and/or in-depth coursework in a related field
  • Legally eligible to work in the United States
  • Scripps Networks is unable to sponsor visas for interns. If you are an international student not already studying in the U.S. on an F-1 or J-1 visa, then you have to go through a university or an outside organization (internship placement agency) that will sponsor your visa
  • Must have strong oral and written communications skills, as well as exceptional organization and planning skills
  • You must include your anticipated graduation
  • Must have an interest in the media and television industries
  • Using customer data, intern will spend time applying gathering and analyzing information to form and test hypotheses regarding customer behavior
  • Intern will develop and write requirements for necessary data products
  • Intern will present project findings at the end of the internship period
44

Data Science Intern Data Technology & Innovation Resume Examples & Samples

  • Participation in our “Welcome” Orientation
  • Opportunity to network with Researchers, Senior Professionals and others Interested in your professional growth and interests
  • Professional Development such as workshops and brown bags in addition to attending Public Urban Institute events
  • Informal feedback and check ins with your intern manager
  • Opportunity to present the value of your contribution and what you learned during our End of Summer Presentations
  • Program begins June 5, 2017
45

Ramp Data Science Intern Resume Examples & Samples

  • The Data Engineer intern can expect to work on developing Roadmaps for all the different Big Data projects, including development of graphics, visualization, big data training material contents
  • Actively engage in rapid prototyping of new technologies within the Big Data technology landscape
  • Deep engagement with documentation of semi-conductor data and process
  • Current student, pursuing an MS or PhD in Computer Science, or Electrical Engineering and will be graduating between December 2017 and June 2018
  • Minimum of 3.0 GPA
  • Ability to read and comprehend complex technical specifications
  • Strong team-player who can collaborate with colleagues
46

Ramp Data Science Intern Resume Examples & Samples

  • Data Science implementation/coding on the Hadoop Platform Stack with MapReduce programming, python, Spark, R Hadoop is a must have
  • Working through the full flow of very challenging data problems anywhere from data cleaning, to building a concept of the model to extracting the right features and testing the model to drive better decision making through various data and statistical modeling techniques, algorithm development involving real-world noisy data
  • Data analysis, predictions, discovery, distilling complex science down to digestible insight, unlocking repeatable patterns that can be actionable foresight
  • Owning the deliverables and managing the priorities/timelines
  • Current student, pursuing a PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Data Science, or Data Analytics and will be graduating between December 2017 and June 2018
  • Solid fundamentals, knowledge of machine learning algorithms, classification, clustering, regression, Bayesian modeling, probability theory, algorithm design and theory of computation, linear algebra, partial differential equations, Bayesian statistics, and information retrieval
  • Possesses strong combination of theoretical knowledge and hands-on experience in data mining, feature selection, dimensionality reduction, statistical techniques, regression analysis, machine learning algorithms and failure prediction
  • Experience and expertise in machine learning tools and technologies, with using R for modeling, including developing R scripts and other scripting languages like Python, Perl
  • Experience in natural language processing techniques and text analytics is a strong plus
47

Business Intelligence / Data Science Intern Resume Examples & Samples

  • Work on ETL to bring new data sources onto our Big Data Infrastructure
  • Create dashboards from data sources for the Big Data Dashboard Display panel
  • Ad-Hoc Big Data reports for client departments
  • Generate data models for predictive analytics
  • Broad knowledge and experience in: Data Science, DataBases and Programming
  • Excellent skills in: Prioritization, Communication, Risk Assessment, System Testing
  • Demonstrated ability to: Understand analytics applications and where they tend to fail
  • Demonstrated ability to: Understand Customer activity
  • Experience writing SQL and testing/building out integrated scenarios required
  • Required knowledge: Unix Shell scripting, Object oriented language (JAVA/Python), SQL
  • Nice to know: statistics, analytics, data analysis, customer service, LaTeX, R, SAS
48

Data Science Intern Resume Examples & Samples

  • Must be pursuing Bachelor's degree in Computer Science, Mathematics, Machine Learning, Operation Research or and Statistics
  • Must have the unrestricted right to work in the US without requiring sponsorship
  • Minimum of 3 months experience with relational database structures, research methods, machine learning, Cloud based technologies
  • Minimum of 3 months experience with Big Data technologies like Hadoop, HBase, Lucene/Solr
  • Minimum of 3 months experience with analytics packages like R, Mahout, Matlab, Octave, Weka
  • Minimum of 3 months experience with scripting languages like. Python, Perl
  • Minimum of 3 months experience with programming languages like Java, C/C++, SQL
  • Minimum of 3 months experience with internal business segment stakeholders
  • Minimum of 3 months experience with Machine Learning, Operation Research, and Statistics
  • Develop software, algorithms, and applications to apply mathematics to data, perform large-scale experimentation and build data driven apps to translate data into intelligence, solve a variety of business problems and enable business strategy
  • Assists business with casual inferences & observations with finding patterns, relationships in data
  • Eager to take on challenges and complete tasks within given timelines
  • Ability to multitask, self-motivated and be able to work independently
  • Ability to work in a dynamic and team-oriented environment
49

Data Science Intern Resume Examples & Samples

  • Meet with decision makers, system owners, and end-users to define business requirements
  • Conduct research on software products and solutions
  • Participate in design sessions, prototyping solutions on distributed platforms
  • Review, understand, and analyze the effectiveness and efficiency of existing predictive modeling platforms and recommend new strategies for improving, or further leveraging, those systems in the future
  • Contribute to planning, design, development, and deployment of predictive model based applications
  • Prepare and deliver reports, recommendations, or alternatives that address or improve the existing and potential predictive modeling process
  • Coordinate and perform tests including end-user reviews
  • Collaborate with fellow interns on challenging Group Projects throughout summer
  • Engage with the local community through various outreach and community service events
  • Must be pursuing a degree in Engineering, Computer Science, Software Engineering, Mathematics, Statistics, Information Technology or related discipline
  • Must be able to participate in the internship prior to completing your current degree program
  • Must be a U.S. Citizen or Permanent Resident due to export control restrictions
  • Passion for using, developing, analyzing, and learning about new technologies related to predictive modeling, distributed computing and data engineering
  • Foundational business acumen and desire to improve your business knowledge
  • Prefer background in modeling language(s) (R, Python) and distributed computing (Hadoop ecosystem)
  • Students pursuing an advanced degree preferred
50

Data Science Intern Resume Examples & Samples

  • Case interview performance
  • Research and summer work experience
  • Leadership positions in group activities
  • Signed application form
  • Background check
51

Data Science Intern / M.sc Thesis Resume Examples & Samples

  • Develop data-driven insights that will lead us to a deeper understanding of how the human body works
  • Develop machine learning solutions capable of working across a wide range of technologies
  • Continuously interact with product owners and product managers in order to convert technical solutions into advanced features
52

Data Science Intern Resume Examples & Samples

  • Is familiar with Python or Java
  • Has some design pattern experience
  • Has a deep interest in working with large data sets (~100 billion records per day)
  • (a plus) has some familiarity with data mining tools like Apache Spark or Hadoop MR
53

Data Science Intern Resume Examples & Samples

  • Handle ad hoc data analytics request from the Digital Innovation team
  • Acquire knowledge of Grainger's various data stores and 3rd party data marts at a rapid speed
  • Provide guidance to the Digital Innovation team on the appropriate tools and methodologies for discovering insights through data
  • Create and program predictive models to enable predictive applications
54

Data Science Intern Resume Examples & Samples

  • Investigate and solve exciting and difficult challenges in image recognition, classification, and deep learning
  • Train scalable computer vision and machine learning solutions to hard problems
  • Help design and implement full-stack computer vision solutions for millions of Covet Fashion customers
  • Use the latest advances in neural networks and machine learning to bring new experiences for our customers
  • Major in Mathematics, Computer Science, Bioimaging or other engineering disciplines
  • Current enrollment in a graduate-level program preferred
55

Data Science Intern Resume Examples & Samples

  • PhD or MS Students (preferably in their last year) in computer science, applied mathematics, or other quantitative computational discipline
  • Experience with open source machine learning and statistical analysis tools
  • Coding experience, either in Python or R (knowledge of both is a plus)
  • Ability to communicate complex ideas in data science
  • Good knowledge at least in a few of: multivariate regression, random forests, classification algorithms & learning methods (supervised and unsupervised)
56

Data Science Intern Resume Examples & Samples

  • Gaining basic understanding of gathering business requirements through staff interviews and other data collection methods, perform analysis, document process flows, track projects, and develop reports
  • Clearly and concisely communicating with equity analysts and associates
  • Understanding of the investment management business, securities industry and business operations
  • Strong analytical and quantitative skills
  • Must be pursuing a graduate degree in Computer Science, Data Science, or Statistics
  • Must have advanced knowledge of R, Python, database technologies, ETL techniques, and MS Excel
  • Must be comfortable pre-processing (cleaning, normalizing, etc.) and analyzing large/complicated datasets
  • Must have experience in the application of advanced statistical methods and time series analysis; experience with machine learning a strong plus
  • Adaptability to a constantly changing environment and ability to manage through change with a high degree of emotional maturity
  • Highly motivated, detail oriented, and team player, with exceptional verbal and written communication skills
57

Data Science Intern Resume Examples & Samples

  • Be enrolled in a course of study in Engineering or Information Technology at an accredited university or junior college
  • Have an overall cumulative GPA of at least 2.75 with a 3.0 or higher in Major
  • Proof of GPA must be presented at hire and provided at the end of each semester
  • Generally be available to work at least 20 hours per week while carrying a normal complement of classes (12 hours)
  • Expand knowledge of the transportation industry and related systems
  • Perform limited analysis and design tasks
  • Generate regular reports for information governance activities using SQL or reporting utilities
  • Perform regular database catalog synchronization with information governance catalog system
  • Assist information lifecycle and security governance analysts with automation tasks
  • Design and implement changes to team Sharepoint site, as needed
58

Data Science Intern Resume Examples & Samples

  • Solve business problems in conjunction with data, programming, mathematical and statistical skills and critical thinking to optimize processes, recommend courses of action among different scenarios and drive business success and profitability
  • Participate in high-impact projects with leadership interaction
  • Conduct hypothesis testing, regression analysis, forecasting and data mining
  • Process and manipulate date in an effort to generate reproducible results
  • Statistics and/or Computer Science major , preferably entering junior or senior year in 2017
  • Experience using SQL, R, Python, Java, VB, D3 or similar languages
  • Excellent communication skills, verbal and written
  • Strong interpersonal skills to work effectively with project teams, management and subject matter experts
  • Intellectual curiosity to discover new truths and insights
  • Mathematical and statistical thinking skills
  • Ability to work well within a team
  • Well organized, self-starter who eagerly approaches new challenges and looks for opportunity
  • Proven ability to handle confidential information and sensitive situations with tact and maturity
  • Proficient in MS Office including Outlook, Word, Excel and Power Point
  • Other analytic and statistical software proficiency is desirable – e.g. R, Tableau
  • An interest in strategy, algorithms, data, and analysis
59

Data Science Intern Resume Examples & Samples

  • Intern will be responsible for all aspect of building, measuring and deploying a predictive model into our production environment
  • Some project includes: data collection, aggregations, and transformations; moving data from one data store to another; coding predictive models using Python, MLlib, Spark, or Scala; setting up a production A/B test to evaluate performance; coordinating with engineering teams to develop APIs; documenting procedures for model maintenance and upgrading
  • Build data science models for specific departments including Marketing, Fraud
  • Interns will have hands-on experience building data science pipelines, bringing idea to production
  • Exposed to data engineering, APIs, model evaluations, A/B testing, and real-time streaming capabilities
  • Will be coached and mentored by some in-house data scientists
  • Work on other ad-hoc projects
60

Data Science Intern Resume Examples & Samples

  • Support Data Science and operational areas to collect information and be involved in tasks to improve data quality both for BAU and Projects
  • Support the task assigned to Data Science in specific projects/initiatives
  • Support the BAU Data Science Tasks (coverage analysis, specific data analysis)
  • Support the optimization of the processes, suitable for execution by On-shore and Off-shore to meet / exceed Client expectations
  • Work in collaboration with Italian and international teams both Data Science and Operational community
  • Bachelors degree in Statistics, Economics, Engineering, Mathematics or related field
  • Good analytics skills and aptitude for data analysis
  • A strong communicator who is able to explain technical issues in a non-technical way
  • Good knowledge of R, SAS, SQL or similar skills are a plus
  • Fluent English knowledge - both verbal and written
  • Good organization skills, aptitude to work in team and meet deadlines
  • Advanced proficiency in Excel
  • Have extensive curiosity to data
  • A high degree of accuracy, proactivity and attention to detail
  • Result oriented with aptitude for continuous process improvements
  • Capacity to make decisions independently and problem solving
61

Data Science Intern Resume Examples & Samples

  • Pursuing (or completion of) Master’s Degree in a quantitative discipline e.g. Computer Science, Math, Physics, Statistics, or other related field
  • Working knowledge of advanced statistics and tools such as SQL, R, Matlab and Python
  • Experience in programming (C /Java/.NET), and database such as Oracle/SQL-Server is a plus
  • Able to thrive when working as a part of a small, collaborative team