It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular data scientist intern position you're applying to.   •  Collaborate with Medical Advisors/Medical and o... •  Entrepreneur mind with excellent analytica... •  Excellent communication, strategic and cri... •  Strong project management and organization... •  Prior experience participating in or leading research administration at an NCI-designated center Polish your data science resume and cover letter using these tips so you stand out from your competitors. SQL, NoSQL and APIs), Supports the ongoing effectiveness of models in use by business Customers, Reframe newsroom and business objectives as machine learning tasks that can deliver actionable insights, accurate predictions, and effective optimization, Desirable: Experience with Statistical modeling and Visualization with R or Python, Experience with CRM systems likes Salesforce, Experience with SQL, NoSQL, Spark, Hadoop, AWS, or other Big Data architectures, Experience with MicroStrategy reporting techniques, Experience in building predictive models on time series data and other analytics tools to production required, Experience working with a large volume of data with ability to solve performance issues, Experience programming Python, SQL, and R, Practical experience with Natural Language Processing and/or Image Recognition and Classification, Able to demonstrate hands on experience with data mining, clustering, segmentation, Software engineering skills, in languages such as Java, R, Python, etc, Proficiency in MS Excel and MS Access, including the ability to write complex formulas and visualize data effectively. Include the Skills section after experience. Since then, I’ve gone on to do fundraising for the high school drama club and got an internship … ), 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, 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, Actively participates in day-to-day business activities of an assigned business unit, Contributes to one or more business unit initiative(s), Demonstrated leadership, and business acumen, 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), 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 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, 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, Working knowledge of a statistical package (R, Python, SAS, MATLAB, etc. When you are ready to send your resume to employers, it's important to be aware of the current market conditions for Data Science Interns.   •  Direct familiarity with P30 grant guidelines, processes, and expectations   •  Five years of related experienc... •  Strong creative thinking and problem solvi... •  Strong leadership and communication skills... •  Innovative problem solving skills, solid u... •  Perform or assist in routine veterinary procedures and surgery preparation ), 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. 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, Document work and then participate in transfer of knowledge to product groups once successful products are transitioned into the appropriate business unit, 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. 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. - Choose from 15 Leading Templates. 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 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, 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.) Learn from them, Volunteering. 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