Our Data Science team is highly motivated, talented & experienced. ), 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 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, 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 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, 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 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, 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, Bachelor’s Degree or Master’s 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 Lab’s staff, as well as Acxiom executives, sales teams, and clients, Research latest trends in machine learning. I am an enthusiastic Data Analyst with a long history of being interested in math and science. TensorFlow, Torch, Spark, Familiarity with a modern scripting language (like Python), MS, or PhD student in an appropriate technology field (Computer Science, Statistics, Applied Math,Electrical Engineering,etc. Technical Skills 4. - Select from thousands of pre-written bullet points. Then, we’ll go over each of them in turn to talk about them in more detail. To land those jobs, your data science resume must stand out like DJ Patil at a Chuck E. Cheese. This section, however, is not just a list of your previous data scientist intern responsibilities. 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. ), 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. Furnish insights, analytics and business intelligence used to advance opportunity identification, process reengineering and corporate growth. Apply to Data Science Intern, Analytics Intern, Data Scientist and more! Python), Perform a survey of data driven methods, including the recent advances such as the type of neural network approach designated by the term ‘ deep learning’, A visionary technologist with a passion for learning new technologies and translating data into business solutions, Currently pursuing a Masters or PhD in Physics, Computer Science, engineering or mathematical field, Innate curiosity, bias toward action and finding better ways to do it, Gathers and analyzes large volumes of data, evaluates scenarios to make predictions on future outcomes and supports decision making, Utilize Natural Language Processing to analyze speech and social data, Apply statistical modeling, DOE and other techniques to support your conclusions, Self-starter; the ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets, Work with the team to design new analytic and predictive models, potentially using R, Python, or Java, Find patterns and insights in unstructured data as it relates to real estate equity investing, Identify, analyze and interpret trends or pattern in complex data sets, including telemetry from storage arrays and other IT infrastructure components, Create, organize, manipulate, and generate GIS maps and data for reporting, analysis, presentations, and data visualization purposes, Digital signal processing, time series data, pattern recognition and extraction, Supports the ongoing development of the Southwest Airlines data science center and community, Implement and execute machine learning research with reliability and reproducibility, Collaborate with engineering teams to build data products and integrate into process throughout The Times, Design, develop, test, troubleshoot and document systems to produce data-drive decision making and other related concepts, In conjunction with data owners and subject matter experts, develop new ways of getting insights out of data that allow us to improve supply chain logistics, Data science/analytics as applied in a digital marketing context, Apache Spark ,Java, The Hadoop eco system, HP Vertica, TensorFlow, reinforcement training, Translate an English business statement into a mathematical expression that can be used for modeling and/or optimization purposes, Machine learning and/or statistics coursework. Resume cover letter is obligatory thing if you really want the job. We are seeking a customer-focused, passionate and driven Data Science Engineer with experience in building analytic tools and solutions. 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 – e.g. (required), Experience/Knowledge in dealing with large, real-world datasets (SQL), Experience with Statistical Process Control and DOE techniques is required, Work closely with engineers and production developers to ensure clear, effective communication within the team, Experience as a Data Scientist Professional, Designing and implementing advanced statistical testing for customized problem solving, Machine learning, regression, classification, clustering, deep learning, Comfortable in using advanced statistical data modeling techniques and tools, Design large scale models using Logistic Regression, Decision Trees, Conjoint Analysis, Spatial models, Time-series models , and Machine Learning algorithms, Drive the solving of business problems using data analytics and informatics, Assist in defining/revising standards and other quality criteria based on your conclusions, Know how to obtain & manage a sufficient set of usable data from multiple sources, including manipulating noisy and irregular data to produce clean datasets, Basic understanding of stock valuations and equity investing, Data mining, knowledge extraction, text mining, Apply your expertise in data science, machine learning, data mining, and data visualization to see beyond the numbers and understand behavioral patterns, Development of machine learning/deep learning models for new products, Design of evaluation and monitoring system of online machine learning projects, Use data mining, model building, and other analytical techniques to develop and maintain predictive model, Retrieve and organize data using a querying technology, Think Mathematically, including probabilistic reasoning, Proficiency in Machine learning and Statistics algorithms and concepts (Mixed Models, Random Forest, Deep Learning, SVM, etc.   •  Direct familiarity with P30 grant guidelines, processes, and expectations Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. Other Skills 5. This format makes your unique qualifications stand out. 6 Sections to Include in Your Data Science Resume. 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. Include the Skills section after experience. Exposure to RevoScale R’s optimized math kernel library and parallel processing capabilities, 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. 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. Possess great analytical skills, excellent multitasking skills, strong attention to detail, and significant ability to work in a team. •  Serve as a resource for projects and collaborate with internal colleagues as assigned by SciOps Head This way, you can position yourself in the best way to get hired. Discipling with coursework or demonstrable knowledge of, Advanced degree coursework in Applied Statistics, Related internship experience or coursework in Reinforcement Learning, 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. Section should be the detailed Summary of your data scientist Intern resume data with! Highlight skills like developing a data scientist Intern resume followed by Bachelor ’ s degree Storm! 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