(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. 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.) Other Skills 5. Your might learn correct structure of cover letter for job and avoid mistakes. American Society Of Clinical Oncology - Data Science Intern Alexandria, VA 06/2019 - 08/2019. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. The objective for an internship differs from a traditional resume … A/B testing, predictive analytics skills, Three years of experience in data or statistical analysis, with mathematical and causal modeling skills, Strong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Splus, etc, Exceptional attention to detail and strong organizational skills; understanding of data quality control concepts, Good statistical and programming skills with the ability to work effectively with complex data, Strong programming skills in R, Python, SQL, Linux, Good Analytical, interpersonal and communications skills and proactive attitude, Good communication skills, with an ability to make advanced analytics concepts accessible to non-technical team members, Strong verbal and non-verbal communication skills, fluency in spoken and written English, Strong follow-through skills and acute attention to detail, Good problem-solving skills, data – oriented personality, Strong programming skills in Python with one additional lower level laguage: C / C++, Excellent programming skills with the ability to learn new methods quickly, Excellent communication skills and ability to learn fast, Strong communication skills both within and outside teams, Demonstrated analytical and quantitative skills with the ability to build innovative complex models to illustrate various scenarios and compare KPIs, Effectively communicate and translate results to Maxim leadership and business unit teams, Organizational, interpersonal, and written and communication skills, Machine Learning, Deep Learning, NLP experience and also working in Hadoop and/or Spark environment, Experience with the concepts of automating and scaling statistical and machine learning methods through application of computer science techniques, Build and validate predictive models incorporating key breeding data, soil, weather, and environmental data, Experience designing and evaluating the results of complex controlled experiments, Practical experience implementing machine learning algorithms, Experience in dealing with large datasets, Experience with programming in Python, R, or an equivalent language, Proven record of interfacing IOT platforms with peripherals like cameras, sensors, LED's and displays, Strong probability theory and statistics knowledge, Experience in large scale data frameworks such as Hadoop, Hive, MapReduce (or similar) is an advantage, Experience with big data techniques (such as Hadoop, MapReduce, Hive, Pig, Spark), Experience or course work with relational databases, Experience or course work with large scale data analysis, Experience with ‘big data analytics’ to drive outcomes and conclusions, Demonstrate the application of the models and deploy them to stakeholders, Specialization and Experience in Computer Science, Statistics, Applied Mathematics, Economics, Business, or other computationally intensive field, Experience with modern ML libraries such as Tensorflow, Keras, SciKit Learn, etc, Experienced with SQL or other query languages -- an advantage, Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc, Experience with data visualization tools, such as D3.js, R Shiny, GGplot, etc, Conduct statistical analysis to correlate the strength of relationship between customer experience, financial and process measures, Build models to predict revenue growth from customer experience and process metrics, Experience with a compiled programming language (e.g., C, C#, C++, Java), Experience with static and/or interactive data visualization methods, Research experience in biomedical image processing (such as histology-based, CT, MR etc.) 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. ), Apply Machine Learning , NLP, and data mining to derive actionable insights, Evaluate open source and internally-developed modeling and analytics tools using real business data, Analysis of digital advertising data for worlds biggest brands and digital advertising platforms (Facebook, Twitter, Pinterest, Snapchat, etc), Unsupervised Learning: Hierarchical (Agglomarative/Divisive) Clustering, k-Means, Expectation Maximization, Mixture of Gaussians, Create a model using natural language processing to detect fraudulent messages sent on Airbnb’s platform, Create models and features to improve the search ranking algorithm, for example by personalizing results based on the user’s inferred preferences, Prepare and Train machine-learning models, Analyze resulting models, Present analyses to the team, Statistical modeling through software (e.g. And corporate growth Sections to Include in your data science Intern Alexandria, VA 06/2019 - 08/2019 more.. 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