Data Scientist Intern Resume Samples

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CL
C Lueilwitz
Candice
Lueilwitz
1648 Madelyn Meadows
Chicago
IL
+1 (555) 535 0528
1648 Madelyn Meadows
Chicago
IL
Phone
p +1 (555) 535 0528
Experience Experience
Boston, MA
Data Scientist Intern
Boston, MA
Pouros LLC
Boston, MA
Data Scientist Intern
  • Articulate storytelling to business & product stakeholders
  • Share knowledge and insights with the Data Science team
  • Familiarity with various Machine learning models
  • Background in Data Engineering and/or Data Analysis a plus
  • Database knowledge and expertise in SQL also a plus
  • Understand the business objectives in order to develop or establish success criteria metrics
  • Translate business problems into one or more data science projects/solutions
Boston, MA
Developer / Data Scientist Intern
Boston, MA
Gislason Inc
Boston, MA
Developer / Data Scientist Intern
  • Other programming language a plus: Javascript
  • Data visualization & predictive modeling a plus: R/Python
  • Query APIs for data
  • Intern to fill the summer months
  • Work on a data science team tackling real business issues
  • Provide data-driven and machine learning solutions affecting our vacation rental platform
  • Work with a Senior Data Scientist to deploy your solutions into a production environment
present
Detroit, MI
Visible World Data Scientist Intern
Detroit, MI
Krajcik and Sons
present
Detroit, MI
Visible World Data Scientist Intern
present
  • Create forecasting models for pricing and viewership of inventory
  • Research and development of new optimization techniques
  • Optimize ad placement to reach more people in the most efficient way
  • Communicate progress on projects throughout the summer
  • Present findings to team at end of program
  • Base knowledge of the W3C’s Web Content Accessibility Guidelines v2.0
  • Exposure to current tools used by people with disabilities (screen readers and other assistive technologies)
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
University of South Florida
Bachelor’s Degree in Computer Science
Skills Skills
  • Performing analysis on big data from social media and web activity logs
  • Building predictive user models
  • MapReduce programming within Hadoop ecosystem
  • Create visual analytics or dashboard applications
  • Tools: Experience using R, Python, and/or SQL
  • Product sense: Ability to connect your analysis to real world phenomena, always thinking about how insights from the data can be used to improve Airbnb
  • Communication: Demonstrated ability to distill and share complex technical concepts to a less technical audience
  • Competitive pay
  • Housing bonus
  • $500 Airbnb coupon, good for any listing in the world
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15 Data Scientist Intern resume templates

1

Data Scientist Intern Resume Examples & Samples

  • Experience in analyzing data and creating reports with Business Intelligence tools (e.g. Excel, Tableau, Google Analytics, Microstrategy, Business Object)
  • Experience querying data (e.g., SQL, Access, Excel)
  • Experience delivering statistical models and running forecasting in a statistical environment (e.g. R, JMP, SAS, SPSS, Excel)
  • Ability to handle multiple tasks, meet deadlines in a dynamic/changing environment, as well as to set priorities in a complex team and work environment (functional and regional reporting lines)
  • Proactive, organized, practical and solution oriented
2

Data Scientist Intern Resume Examples & Samples

  • Duration: Internships last a minimum of 12 weeks and potentially more if project warrants additional time and manager approves
  • Expected hours: Interns can expect to work 40 hours per week, plus possibility for manager-approved overtime hours
  • Mentorship, reviews and feedback: Managers serve as mentors throughout the internship period. Interns receive two performance check-ins with manager (at mid-point and at end of project) so that interns can receive feedback designed to foster growth and development
  • Batches: We aim to have interns start on one of a few set start dates so that classmates can get to know each other and share the internship experience together
  • Strong analytical fundamentals: Must be currently pursuing a Bachelor’s, Master’s or Doctoral degree. Preferred field of study are statistics, math, economics, or related discipline
  • Tools: Experience using R, Python, and/or SQL
  • Product sense: Ability to connect your analysis to real world phenomena, always thinking about how insights from the data can be used to improve Airbnb
  • Communication: Demonstrated ability to distill and share complex technical concepts to a less technical audience
3

Data Scientist Intern Resume Examples & Samples

  • BS Degree in Data Science, Engineering, Statistics or related field
  • Experience in interactive graphics, data visualization, data mining, and data analysis
  • Experience with Python, R, SQL, JavaScript, HTML5, and D3
  • Experience with integrating with rest APIs
  • Blended foundational knowledge of software engineering fundamentals, as well as breadth in new media arts
  • Proven track record in delivering breathtaking analytics visualization that speaks for itself
  • Passion for gamming and the entertainment industry
4

Watson Health Data Scientist Intern Resume Examples & Samples

  • Demonstrable knowledge of and experience developing statistical models and machine learning methods and have applied this to real-world, large scale data sets
  • Have working knowledge of the healthcare industry and experience curating and analyzing healthcare and wellness data
  • Embrace a fast paced, collaborative environment dedicated to building atop cutting edge technology
  • At least 1 years experience in Large data set curation and analysis from real-world sources
  • At least 2 years experience in Statistical analysis packages (e.g. SPSS, SAS, R, Python)
  • At least 2 years experience in Software Development, preferably Java and relational database access using SQL
  • English Fluent
  • At least 1 years experience Healthcare Informatics, Healthcare data analysis, healthcare application development
5

Data Scientist Intern Resume Examples & Samples

  • Experience with statistical analysis tools such as R and SAS
  • Familiarity with visualization by using R and SAS
  • Experience with Microsoft Office Suite
  • Must be currently enrolled in a Graduates degree program; preferably with Data Science, Computer Science, Mathematics, Statistics or similar
  • Experience coding with SAS, SAS Macro, R, Python, and SQL languages
  • Experience in Linux a plus
  • Experience with visualization tools such as Tableau, QlikView, Javascript, or RStudio Shiny
  • Experience in NoSQL, NewSQL, and other relational databases
  • Ability to effectively prioritize and manage multiple tasks to meet aggressive deadlines
  • Ability to think creatively and work both independently and in a team-oriented, collaborative environment
  • Ability to produce quality work products with attention to detail
6

Data Scientist Intern Resume Examples & Samples

  • Experience with Statistics packages
  • Experience coding with R, Python, and SQL languages
  • Database experience in NoSQL, NewSQL, and other relational databases
7

Devops Data Scientist Intern / Co-op Resume Examples & Samples

  • 1 year of experience in Spark, Machine Learning, Software Development
  • 1 year of experience in Scala or Python
  • Experience in Programming in R, Graph Algorithms, DevOps, Docker, Github, Jira, Jenkins, Cloud Foundry
8

Visible World Data Scientist Intern Resume Examples & Samples

  • Research and development of new optimization techniques
  • Create forecasting models for pricing and viewership of inventory
  • Optimize ad placement to reach more people in the most efficient way
  • Communicate progress on projects throughout the summer
  • Present findings to team at end of program
  • Currently pursuing a Bachelor's or Master's degree from a United States-based college or university
  • Major: Computer Science, Marketing/Advertising, Engineering, Business or a related field
  • Minimum 3.0 GPA
  • Great coding ability (easy to read and understand)
  • Familiarity with optimization algorithm such as linear programing, dynamic programing
  • Understanding of statistical modeling, predictive modeling, and analytics
  • Ability to derive meaningful insights from data sets and summarize them clearly
  • Good communication, ability to explain results and product design
  • Python (pandas, numpy, scikit-learn, flask)
  • Postgres
  • Hdfs, hiveDesire to enter the Media / Technology / Advertising industry upon graduation and passionate about innovation
9

Developer / Data Scientist Intern Resume Examples & Samples

  • Query APIs for data
  • Programming experience for creating dashboards: Django, Ruby on Rails, Node.js, experience with d3.js
  • Data visualization & predictive modeling a plus: R/Python
  • Other programming language a plus: Javascript
  • Intern to fill the summer months
10

Production Genotyping Data Scientist Intern Resume Examples & Samples

  • Empower production lab optimization by creation of predictive and prescriptive analytics
  • Enable prediction of automated machinery failure by machine learning model creation
  • Partner across Monsanto with MBT partners including the Breeding organization to optimize genotyping remediation prescription
  • Currently enrolled at a university within the U.S. pursuing a graduate degree in mathematics, statistics, engineering, bioinformatics, computer science, or related program
  • Must have plans to return to school to continue program of study following completion of this internship
  • Mindset for improving processes from a 9 to a 10/10
  • Passion for data exploration and testing hypotheses using data
  • Experienced coding in java, perl, python, or R
  • Skilled in basic predictive analytics and machine learning (regression, clustering, decision trees)
  • Molecular Biology scientific domain knowledge
11

Data Scientist Intern Resume Examples & Samples

  • Ability to solve problems, think critically, and communicate clearly
  • Knowledge of statistical modeling, machine learning, mathematical optimization, and/or data mining
  • Experience with programming
  • An understanding of algorithmic scaling and complexity a plus
  • Experience with big-data tools (e.g. hadoop) a plus
12

Cyber Security Data Scientist Intern Resume Examples & Samples

  • Preferred Course of Study: Math / statistics, computer science
  • Proficiency in Splunk, AWS and data visualization required
  • Ability to complete statistical analysis and correlation of large data sets. Must be able to use common industry tools (DB/Splunk/ELK/elastic search) to perform data correlations and visually present them via Splunk, API's for automation. (2 years experience)
  • Must be able to demonstrate strong problem solving skills
  • Must be familiar with scripting/coding
13

Data Scientist Intern Resume Examples & Samples

  • Formulate data analytic problems
  • Acquire and cleanse data
  • Employ analytic methods and techniques
  • Develop analytic algorithms
  • Analyze data
  • Visualize data
14

Data Scientist Intern Evergreen Resume Examples & Samples

  • 1+ years of experience in the following area
  • Background in deep learning, machine learning & big data
  • Experience designing professional software using Python, C++
15

Data Scientist Intern Resume Examples & Samples

  • Hands on experience in developing and implementing methods in computational statistics
  • Experience with supervised and unsupervised machine learning theory and practice
  • High dimensional data analysis (p >> n, dimensional reduction, etc.)
  • Remote sensing and image processing
  • Frequentist and Bayesian statistical analyses (ANOVA, hierarchical and mixed modeling, FDR procedures, etc.)
  • Statistical computing in R, Python and MATLAB
  • Familiarity with SQL and query performance optimization
  • Software development skills (Java, C++, object oriented design)
  • Interest in High Performance Computing and Big Data architectures
16

Data Scientist Intern Resume Examples & Samples

  • Currently enrolled in a Masters or PhD degree program in a quantitative degree (Statistics, Economics, Advanced Analytics, Operations Research, Applied Mathematics, Decision Sciences, Computer Science, etc.)
  • Strong technical and analytical skillset (R, Python, SQL, Tableau, Predictive Analytics, Forecasting, Machine Learning etc.)
  • Proven ability to sift through data, identify critical information, develop hypotheses, perform rigorous analyses, and make recommendations to broader audiences
  • Excellent written and verbal communication skills, including superior presentation skills
  • Prior experience synthesizing and packaging complex analyses and delivering results to non-technical audiences including senior leadership teams
  • Demonstrated ability to use data to influence strategic decision making
17

Image Data Scientist Intern Resume Examples & Samples

  • Knowledge in mathematical algorithms in areas such as machine learning, deep learning, data mining, pattern recognition, image processing, signal processing, bioinformatics, statistics
  • Research experience in analyzing multimodal / large datasets
  • Ability to plan and schedule daily computing, research and reporting activities in order to meet established timetables and objectives
  • Excellent verbal and written communication skills are required
  • Ability to work full-time for 9-12 weeks during the months of June - August
18

Data Scientist Intern Resume Examples & Samples

  • Work on a data science team tackling real business issues
  • Provide data-driven and machine learning solutions affecting our vacation rental platform
  • Work with a Senior Data Scientist to deploy your solutions into a production environment
  • Articulate storytelling to business & product stakeholders
  • Share knowledge and insights with the Data Science team
  • Academic experience in quantitative field such as Engineering, Computer Science, Mathematics, Statistics, Economics or Physics
  • Experience with programming languages such as R and Python
  • Experience with Scala is a plus
  • Familiarity with various Machine learning models
  • Background in Data Engineering and/or Data Analysis a plus
  • Database knowledge and expertise in SQL also a plus
  • Good storytelling and presentation skills
19

Data Scientist Intern Resume Examples & Samples

  • You will apply advanced analytic techniques such as machine learning, data mining and statistical modeling to design and implement mathematical models and algorithms to solve real-world marketing problems
  • You will develop analytical insights through assumption testing and sensitivity analysis and share with your team
  • You will perform difficult data analysis and financial modeling to support business case development
  • You will conduct A/B test design, implementation and analysis on the website in order to figure out the effectiveness of our efforts
  • Some projects you may work on include modelling seasonality to help optimize our marketing campaigns and predicting the length of stay of a booking
  • Working towards Masters or PhD quantitative field such as Computer Science, Mathematics, Statistics, Machine Learning/AI, or other related
  • Ability to conceptualize business problems and solving them through data analysis
  • Strong SQL/data manipulation skills required including cleaning and handling data
  • Experience with statistics/machine learning packages such as R, scikit-learn, SparkML Python (pandas), SAS etc
  • Willingness to work with unstructured, messy data
  • Self-starter and results orientated, able to work under minimal guidance
  • Intellectual curiosity and desire to learn new things, techniques and technologies
20

Data Scientist Intern Resume Examples & Samples

  • SQL
  • Data wrangling
  • Feature engineering
  • Model evaluation
  • Data visualization
21

Data Scientist Intern Resume Examples & Samples

  • Experience working with R, Java, Python, SAS, SPSS or other predictive modeling tools
  • Advanced math and statistics knowledge
  • Pursuing a Master's Degree or PhD in Math, Statistics or related field
  • Knowledge of Hadoop, a NoSQL Database or other big data infrastructure
22

Data Scientist Intern Resume Examples & Samples

  • Understand, analyze and become expert in product, customer and supply chain data sets
  • Follow Agile and Iterative development process to define and give solution to the problem
  • Design and provide insight through analytic practices
  • Provide expertise on mathematical concepts for the Business Intelligence and user teams
  • Inspire the adoption of advanced analytics and data science
  • Education –
  • Passion for statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms
  • Ability to solve complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills required
  • Programing experience in either Python, R, or SAS required
  • Experience utilizing at least one of the following structured data sources (SQL, Oracle MS SQL Server) required
  • Knowledge of linear algebra, partial differential equations, Bayesian statistics, and boundary value problems preferred
  • Experience using Matlab and/or Python preferred
  • Predictive modeling experience preferred
  • Knowledge of non-stationary and non-linear time series analysis and frequency analysis preferred
  • Understanding of both supervised and unsupervised machine learning preferred
  • Understanding of large scale data processing methods (MapReduce) strongly preferred
  • Experience with non-structured data (Hadoop, noSQL) strongly preferred
23

Data Scientist Intern Resume Examples & Samples

  • Currently pursuing an advanced degree (MA, MBA or PhD preferred)
  • 2+ years of relevant work experience or academic experience, ideally at a tech company, ecommerce environment, or marketing agencies
  • Proactive, collaborative, detail-oriented, curious to learn, and results-driven
  • Ability to structure and make sense of data from multiple sources
  • Proven record of driving actionable insights; an influencer with excellent communication skills
  • Strong understanding and experience using SQL is a must
  • Experience working with large data sets, preferably with understanding of Hadoop and/or Spark
  • Experience using Python, R, SAS, Stata, or similar tools
  • Experience in predictive modeling
  • Knowledge in offline and online marketing performance measurement and optimization is a plus
24

Data Scientist Intern Resume Examples & Samples

  • Completed a bachelor’s degree by June of 2017 and pursuing a masters or PhD - degree in Statistics, Computer Science or Applied Math
  • Proficiency in Python
  • Experience building, testing and deploying data-driven applications
  • Demonstrated proficiency in applied machine learning
  • Industry software engineering experience
  • Consulting experience; directly interacting with clients to scope a problem, build a solution, and communicate the results
  • Domain expertise in at least one of the following: imaging data time-series data, event data
  • Expertise with big-data tools: Hadoop, Spark, etc
25

Data Scientist Intern Resume Examples & Samples

  • Investigating/mining new data streams to assess utility and ability to connect to existing environment
  • Maintaining and executing programs to merge/assemble data for analytic uses
  • Researching growing market trends and mine the Citizens data intelligence to develop new insights that can guide the strategic direction of the Citizens Bank lines of business
  • Documenting and communicating technical/analytic results for a non-technical audience
  • Statistical programming experience with variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Splus, etc.)
  • Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology
  • Knowledge of a variety of statistical concepts and procedures, such as: generalized linear models, experimental design, stochastic processes, response surface methodology, and statistical graphics
  • Ability to understand, prepare, and present statistical results
  • Strong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Splus, etc.)
26

Data Scientist Intern Resume Examples & Samples

  • The Data Science Intern will have an opportunity to work on projects that will have a direct impact to the Fidelity business. Working closely with a team of data scientists, they will have an opportunity to support advanced analytics/data science projects such as
  • IT analytics to identify key project performance attributes
  • Research opportunities to expand Fidelity’s benefit offerings
  • Investigate new data sources to evaluate their usefulness in predictive modeling projects
  • Evaluate big data technologies for use in future analytics projects
  • MS or PhD students in analytics, statistics, data science, computer science, economics, operations research, or applied mathematics
  • Knowledge of Deep Learning and related tools such as H2O, TensorFlow, MXNET, or Keras, is preferred
  • Familiar with at least a subset of multiple computer languages (SAS, SQL, Hive, R, Python, Scala),
  • Some knowledge of business fields such as marketing, sales, economics, finance, healthcare, or biomedicine preferred
27

Data Scientist Intern Resume Examples & Samples

  • Dependability, statistics, monitoring systems
  • Computation software: Matlab, R, MySQL,NoSQL Minitab..
  • Technical English
  • Autonomy and initiative
28

Data Scientist Intern Resume Examples & Samples

  • Familarity with modern statistics and data science, as well as stochastic processes
  • Data analysis software: Matlab, Excel, R a plus
  • Autonomy and initiative. Team spirit
29

Data Scientist Intern Resume Examples & Samples

  • Work as Summer Intern on initiatives involving analytics to support decision-making, program development, prioritization, and experimental hypotheses
  • Partner closely with HR executives and business clients to develop internal and external data sources to be used in predictive analytics
  • Develop scalable models using Citrix people, compensation and sales data
  • Find creative solutions to business problems using advanced mathematical algorithms
  • Conceptualize, design and build data-fueled insights to help Citrix improve analytics for business partners and clients
  • Work closely with other team members and the business to further develop metrics, KPIs, and insight that support performance improvement, career development, attraction and retention
30

Data Scientist Intern Resume Examples & Samples

  • Bachelors degree 1st year of Master's program completed; strong preference for Computer Science, Data Science, Statistics or Mathematics degrees
  • Basic programming skills. Preferably Java, Python and SQL
  • Experience in data extraction, data cleansing and preparation, text analytics, data mining
  • Ability to conduct statistical analysis including correlation and multivariate regression
  • Strong verbal and written communication (Fluent in English)
  • Skills to manage smaller projects to successful completion
  • Learn quickly; translate school or other knowledge into practical application
  • Experience working with small teams to accomplish shared objectives
  • Analysis & Modeling: 2+ years of experience building statistical models (e.g. linear & logistic regression, time series, SVM, etc.)
  • Data: 2+ years of experience working with databases (relational, map-reduce, columnar) writing SQL code to extract, manipulate and analyze
  • Ability to streamline and automate data collection and onboarding tasks using programming skills
  • Familiarity with API’s and various Db connectors to onboard data
  • Progress toward advanced degree or other relevant work experience considered a plus
31

Data Scientist Intern Resume Examples & Samples

  • Develop a solid understanding of Copart 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
  • Partner closely with IT and implementation of modeling efforts to ensure performance and scalability
  • Communicate effectively with other Business Intelligent team members, with IT and, with business stakeholders across the company to identify and define strategic data-intensive projects based on business needs
  • You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured/structured data sources. You're also excited to try new tools or technologies
  • Passion for hands-on "in-the-trenches" work with real-world data-sets
  • Desirable: Experience with Machine-Learning/Big-Data Platforms and modeling frameworks, especially Spark and Hadoop
  • Studied/Studying in a quantitative discipline (e.g., Computer Science, Math, Physics, Statistics, Electrical Engineering, or similar)
32

Data Scientist Intern Resume Examples & Samples

  • Engagement: Working on creative, innovative, and thought-provoking projects within various business units at Comcast during your internship experience
  • Exposure: An inside look into the day-to-day operations of an organization at the cutting edge of media and technology
  • Professional Development: Exposure to a variety of professional development topics facilitated through our partners at Comcast University and senior leaders within the organization. These sessions include speaker series, skill-building workshops, and networking opportunities
  • Mentorship: Mentoring from fellow colleagues through the Empowering Future Leaders Program (EFLP) to help you navigate your experience, provide coaching, and expand your professional network
  • Fun: Continuously develop relationships with fellow interns through social activities, community building, and networking
  • Interpret problems using existing procedures and framework using data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.g., predictive models, LTV, propensity models)
  • Develop and deploy predictive models based on historical data that provide future predictions about customer behavior
  • Constructs forecasts, recommendations and strategic/tactical plans based on applying data science techniques to business data
  • Produce analysis of historical patterns in customer behaviors and product performance from complex real-world behavioral data
  • Currently enrolled and pursuing a Master's or PhD degree from a United States-based college or university with the Grad year of 2018 or 2019
  • Major: Economics, Statistics, Mathematics, Decision Science, Operational Research, Computer Science, Engineering, or related field
  • Understanding of statistical modeling techniques such as regression, decision trees, neural networks, support vector machines, clustering techniques
  • Ability to develop statistical targeting models using SAS, R, Python, Weka, SPSS, MATLAB, etc
  • Familiarity with distributed computing platforms, such as Hadoop, and associated technologies such as MapReduce, Spark, Yarn, and Hive
  • Familiarity with at least 1 programming language such as Python, Scala, Julia, Java, C++, etc
33

Data Scientist Intern Resume Examples & Samples

  • Experience with programming in Python, R, or other language
  • Knowledge of designing and implementing machine learning, data mining, statistics, or graph algorithms in an academic or professional work environment
  • Currently enrolled in a BA or BS degree program in Computer Science, Math, Engineering, or Technology
  • Experience with SQL, NoSQL, Spark, Hadoop, or other Big Data architectures
  • Knowledge of data visualization creation
  • Knowledge of virtual machines environments
34

Data Scientist Intern Resume Examples & Samples

  • Participating in internal meetings and creating meeting materials
  • Working with large data sets
  • Defining problem statements and extracting the data needed for modeling
  • Performing detailed data exploration to discover relevant trends and insights
  • Exposure to data warehousing concepts with a focus on data reporting
  • Working collaboratively on ‘Internship Project’ with your group, you will be expected to present at the end of the program
  • Pursuance of an Undergraduate degree with a GPA of 3.0 or higher
  • Excellent oral, written, and communication/presentation skills
  • Strong Microsoft Office skills
  • Knowledgeable with SQL Server 2008, Query Analyzer, generating SQL scripts, utilizing SQL tools
  • High intellectual capability and curiosity
  • Passion for solving puzzles through collaboration and innovative thinking
  • A lifelong learner who pursues ambitious goals
  • Minimal experience with programming languages
  • Knowledge of Reporting tools
  • Legal authorization to work in the United States
35

Data Scientist Intern Resume Examples & Samples

  • Working towards Bachelor’s Degree and having completed some foundational courses in statistics, computer science, and mathematics
  • Strong qualitative and analytical skills and have ability to perform statistical calculations and evaluate results
  • Excellent communication and presentation skills, both oral and written
36

Data Scientist Intern Resume Examples & Samples

  • Currently enrolled and pursuing a Master's degree from a United States-based college or university with the Grad year between Fall 2018 and Spring 2019
  • Major: Computer Science coursework
  • Strong writing and interpersonal communications skills
  • Outstanding organizational skills
  • Working knowledge of MS Word, PowerPoint, Excel
  • Strong interest in the telecommunications, cable and media industries
  • Ability to work on a team
37

Data Scientist Intern Resume Examples & Samples

  • Advancing state-of-the-art in fraud modeling: Be it trying out the latest in machine learning algorithms, engineering new features indicative of fraud, exploring external data sources, or trying out new objective functions and training techniques, there will be no dearth of opportunities to go try our new ideas
  • Queue optimization: A large number of transactions are designated by our algorithms as deserving a second look by humans, i.e. our fraud analysts. Determining the optimal set of transactions for our analysts to take a look at under the constraints of analyst's capacity, transaction volume fluctuation by time (month, week, and day), and time to the travel event is a challenging problem with ample opportunities to make impact
  • Fraud in Loyalty: Fraudsters find clever ways to game loyalty and rewards programs by taking advantage of loopholes in the engineering stack, gullible customer service employees, and terms and conditions. There are several opportunities to fight fraud and minimize risk in this area of the business
  • Non-fraud charge backs: A small but significant set of customers routinely abuse the option to dispute charges to score free travel. Identifying these customers and transactions before such charge backs happen can have an impact in tens of millions of dollars to the bottom line. Doing a deep dive of data related to these charge backs can inspire a range of solutions from a new model targeting these transactions to recommendations on policy changes
  • Experience with data visualization tools and packages a plus
  • Ability to work with unstructured amounts of data
38

Data Scientist Intern Resume Examples & Samples

  • Data analytics and algorithm development in MATLAB
  • Assist R&D projects as and when required
  • Document and present results to management and the wider engineering team
  • Completed a Physics/Maths/Science degree or equivalent knowledge and experience
  • Experience with ‘big data analytics’ to drive outcomes and conclusions
  • Experience with developing algorithms
  • Strong proven ability in a language such as MATLAB/Python/R
  • Some ability in C coding
  • The ability to work within a team, or under own initiative
  • The ability to understand and present new concepts clearly/effectively
39

Data Scientist Intern Resume Examples & Samples

  • Apply advanced analytical methods to large, complex data sets
  • Identify new opportunities to improve our technology solutions
  • Research and develop new analytical offerings to incorporate into existing Milliman technology solutions
  • Communicate findings to both management and clients
  • MS or PhD 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
  • Substantial educational concentration in computing, statistics, and finance
  • Experience in machine learning methodologies (e.g. ensemble methods, etc.)
  • Experience with text mining
  • Experience in R and Python
  • Experience with open-source databases (e.g. MySQL, MariaDB, PostgreSQL, SQLite, MonetDB, etc.)
  • Experience with MapReduce, Hadoop, H20, and Spark
  • Ability to obtain work authorization in the United States
  • Ability to work independently and in teams, with or without supervision
40

Data Scientist Intern Resume Examples & Samples

  • Experience with large data sets
  • Ability to convey rigorous mathematical concepts and considerations to nonexperts
  • Experience working in small teams and moving products to production
  • Coding proficiency in at least one modern programming language (C#, Python, Java, etc.)
41

Data Scientist Intern Resume Examples & Samples

  • Bachelor's required and currently be enrolled full-time in a college or university working towards master's degree in business analytics, data science, mathematics, statistics, economics or related field
  • Demonstrate proficiency in R, Python, SAS or another statistical software package
  • Statistical modeling experience including logistic regression, cluster analysis, agent-based simulation, and decision-tree
  • Proficient in data visualization tools (e.g. Tableau)
42

Data Scientist Intern Resume Examples & Samples

  • Currently earning a Master's degree in Computer Science, Math, Quantitative Methods, Econometrics, Big Data, Physics or related
  • Programming skills in at least one of following languages: R, Python
  • Data preparation skills and working knowledge of SQL
  • Working knowledge of using Machine/Statistical Learning methods
  • Demonstrated aptitude for analytics
  • Working knowledge of visualizations tools, e.g. Tableau, MS Power BI, Shiny R package, or Big Data ecosystem, e.g. Hadoop, Spark, would be an advantage
43

Data Scientist Intern Resume Examples & Samples

  • Apply data science solutions to assist in managing and improving survey data collection, design, and methodology
  • Provide expertise in working to understand survey needs and using data and paradata to address those needs in a statistically appropriate manner (for example, by fitting models to predict which cases are likely to respond)
  • Development and testing may be done in R, Python, SAS or other statistical software. The eventual goal is translating the solutions into specifications that can be done within the SAS environment that is used in the processing system
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Data Scientist Intern Resume Examples & Samples

  • Work with business subject matter experts to identify and select what the relevant sources of information is
  • Work with the data steward to ensure that the information used follows the compliance, access management and control policies of the organizations, meeting the qualification and assurance requirements of the business. Data stewards and data scientists will need to define the data quality expectation in the context of the specific use case
  • Work in iterative processes with the business and validate findings such as validating discovered correlations across data with the business and expose the rationale of findings in a clear and concise manner to the business; you may be asked to present results that contradict common belief
  • Include experimental design approaches to validate findings and validate analysis by comparing appropriate samples
  • Suggest ongoing improvements to methods and algorithms that lead to findings, including new information such as refining suggestions based on clients’ interests, geographic location, age or gender, rather than just based on overall buying pattern
  • Understand the use and ability to employ the appropriate algorithm to discover patterns by using statistical data mining packages and dedicated frameworks such as Hadoop MapReduce
  • Work with IT to support data collection, integration and retention requirements based on the input collected with the business
  • Educate the organization from IT and business perspectives on new approaches, such as testing hypotheses and statistical validation of results
  • Elicit requirements using interviews, document analysis, requirements workshops, surveys, site visits, business process descriptions, use cases, scenarios, business, and task and workflow analysis
  • Proactively communicate and collaborate with external and internal customers to analyze information needs and functional requirements and deliver specified artifacts. Assess whether data is fit for use by performing initial validation of data
  • Include experimental design approaches to validate findings, compare appropriate samples and work with IT to support data collection, integration and retention requirements based on the input collected with the business
  • Successfully engage in multiple ad hoc initiatives simultaneously