Writing keywords throughout the data science resume increases your chances of passing the ATS test. 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, 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, 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 working in Web-based visualization/reporting, Javascript libraries like jQuery, D3.js, Node.js, Prior industry experience, including prior summer internships, Experience in web servers like Apache is nice, Work with Millennialâs 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, 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.) • Relevance modeling, IR-based ad retrieval Salary can vary based on factors such as location, company, and … Awards 6. 6 Sections to Include in Your Data Science Resume. 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, 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, 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, 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 â e.g. • Proven success at an Internet startup or early stage company. Learn from them, Leadership. Bruno is currently looking for a Data Analyst Intern position with a forward-moving … In the context of a data science resume (or data analyst resume), this might include data analysis projects, machine learning projects, and even published scientific articles or coding tutorials. Then, we’ll go over each of them in turn to talk about them in more detail. Use the Data Analyst Intern resume sample below, replace the information with relevant data … ), Intermediate programming skills in Python, C++, VBA, and LaTeX, Comfortable communicating in one or more foreign languages, The intern will be responsible for designing data sets and must be comfortable working with large amounts of data, 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) working on projects utilizing the scientific method, Extracting and "massaging" the data needed as input to analytical models, 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, Experience with data mining & machine learning methodologies, 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, Ability to learn new technologies and tools, 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, 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, Currently pursuing a Bachelorâs or Masterâs 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, 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, 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), Understanding Anthropological Perspective / Theories, Experience with common data science toolkits, such as R, Weka, NumPy, Mat Lab, etc, Familiar with machine learning techniques and algorithms such as - k-NN, Naive Bayes, SVM, Decision Forests, etc, Analyze data sets and prototype as many experiments as necessary to converge to the optimal practical solution, Work with Portwareâs 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, Write reusable research code and prototypes for predictive models, 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), 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 Machinaâs public reports and blog posts, which showcase how our data can be used to explore legal trends, Youâll be working both with our database (postgresql) and our existing codebase and object model (python/sqlalchemy); you should be comfortable and competent with both, 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, 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, Bachelorâs Degree or Masterâs Degree candidates required (may be in the process of obtaining the degree), Participate with other team members in creation of new product concepts and designs for evaluation by Labâs staff, as well as Acxiom executives, sales teams, and clients, Research latest trends in machine learning. 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