Knowledge of data science, data mining, machine learning and statistics. Writing a resume can be a daunting task, especially if you don’t know where to begin. Apply for free now. Download Data Scientist Intern Resume Sample as Image file, Data Analyst / Data Scientist Resume Sample, Data Scientist / Data Analytics Resume Sample, 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), Other programming language a plus: Javascript, Data visualization & predictive modeling a plus: R/Python, 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, 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, Performing analysis on big data from social media and web activity logs, 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, $500 Airbnb coupon, good for any listing in the world, Experience in analyzing data and creating reports with Business Intelligence tools (e.g. Description. About the internship. This article is quite old and you might not get a prompt response from the author. Data Scientist job description. Data Scientist, Intern, Scientist and more on Indeed.com Guide the recruiter to the conclusion that you are the best candidate for the data scientist intern job. Data scientists commonly have a bachelor's degree in statistics, math, computer science, or economics. Data science managers perform various functions as they strive to help organizations take advantage of data in making the best management decisions. ), 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, 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. 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. ), 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. When we talk about big data, we’re talking about more than … The intern position is a part-time, remote contract position. While much of it is an outline of qualifications, duties, and objectives, a good portion should convey what it’s like to work for your company and how your candidate will make an impact. Pro tip: “Data scientist” is often used as a blanket title to describe jobs that are drastically different! You could also approach small to medium-sized enterprises for internship or shadowing opportunities. 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, 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 virtual machines environments, Participating in internal meetings and creating meeting materials, 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, 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, Legal authorization to work in the United States, 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, 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, Strong writing and interpersonal communications skills, Working knowledge of MS Word, PowerPoint, Excel, Strong interest in the telecommunications, cable and media industries, 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. Here are some common duties and responsibilities of a Data Scientist: Collecting data through means such as analyzing business results or by setting up and managing new studies. We make the hiring process one step easier by giving you a template to simply post to our site. No need to think about design details. Title: Data Science internship. Glassdoor has millions of jobs plus salary information, company reviews, and interview questions from people on the inside making it easy to find a job that’s right for you. Responsibilities: Assist in the development and testing of components and prototypes; Create sample programs and documentation; Research new technologies, standards and approaches; For beginners, the Business Analytics Nanodegree program is a great place to start learning Excel, SQL, and Tableau. ), Strong technical and analytical skillset (R, Python, SQL, Tableau, Predictive Analytics, Forecasting, Machine Learning etc. Apply now for free. Data Science Internship jobs. Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. About Pivot Bio: Fueled by an innovative drive and a deep understanding of the soil microbiome, Pivot Bio is pioneering game-changing advances in agriculture. Indeed may be compensated by these employers, helping keep Indeed free for jobseekers. - Choose from 10 Leading Templates. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. A data scientist’s job description focuses on the following – Presenting information using data visualization techniques. Data science combines several disciplines, including statistics, data analysis, machine learning, and computer science. CIA Data Scientist Undergraduate Intern will work side-by-side with other Data Scientists to organize and interpret data to inform US decision makers, drive successful operations and shape CIA technology and resource investments. Data Science is a combination of all these skills and a measure of how you can communicate the results of these tools and techniques. Working towards a degree in computer science, data science, or other related disciplines Data Mining is a prerequisite to data science because poor quality of data may lead to errors in data analysis. Glassdoor will not work properly unless browser cookie support is enabled. ), 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, 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. CIA Data Scientist Undergraduate Intern will work side-by-side with other Data Scientists to organize and interpret data to inform US decision makers, drive successful operations and shape CIA technology and resource investments. When it comes to qualifications, a second-tier degree in technical disciplines is certainly a common trait in the data science job descriptions. Each job title handles the role of handling data in a different manner. Sort by: relevance - date. and their real-world advantages/drawbacks. You can learn from professional data scientists and demonstrate you are already one step ahead of your peers. The benefits of a data science internship are countless, beginning with the opportunity to work with professionals in the field, up to building your own portfolio. But one of the things that I have observed about these opportunities is the indistinguishable description of job roles. We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Learn how to enable cookies. Undertaking an internship subject involves gaining real experience working in a relevant workplace. Leverage your professional network, and get hired. New Data Scientist Internship jobs added daily. Some of the best solutions right now will not be the ones you require while writing up a job description. 17d. 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. Indeed may be compensated by these employers, helping keep Indeed free for job seekers. Find the best online data science jobs/internships or work from home data science jobs/internships in 2020 in top companies. Data science is a relatively new area of work, but as a progression from data analytics the pay can be fairly high. statistics, engineering, computer science) with a high GPA, Substantial educational concentration in computing, statistics, and finance, Experience in machine learning methodologies (e.g. University Internship – Data Science Job Description Template. Strong problem solving skills with an emphasis on product development. Leverage your professional network, and get hired. Intern, Data Scientist jobs now available. 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. Depending on your academic and experiential background, the path to securing a data science job may be as simple as recruiters seeking you out — or you might need to pound the pavement (so … Assess the effectiveness and accuracy of new data sources and data gathering techniques. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. In fact, there are different types of Data Scientists and different job titles that go with the role played by them. These internships offer fantastic mentorship and networking opportunities. Computation software: Matlab, R, MySQL,NoSQL Minitab.. Familarity with modern statistics and data science, as well as stochastic processes, Data analysis software: Matlab, Excel, R a plus, 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, Bachelors degree 1st year of Master's program completed; strong preference for Computer Science, Data Science, Statistics or Mathematics degrees, Basic programming skills. 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, Data analytics and algorithm development in MATLAB, 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, Strong proven ability in a language such as MATLAB/Python/R, The ability to work within a team, or under own initiative, The ability to understand and present new concepts clearly/effectively, 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. Coordinate with different functional teams to implement models and monitor outcomes. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. Page 1 of 37 jobs. Data science is a field where career opportunities tend to be higher for those with advanced degrees. Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. 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, Dependability, statistics, monitoring systems. - Select from thousands of pre-written bullet points. Well, now that we have covered the 5 skills you need to match any data science job description, take a deep breath, exhale, and take the first step towards your goal. 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Big Data and Predictive Analytics Intern - 3 Month (Johnston, IA) Corteva Agriscience | Johnston, IA. having completed at least 1/3 of their graduate program with a high GPA, BS degree in a quantitative field (e.g. SPSS, SAS, R, Python), At least 2 years experience in Software Development, preferably Java and relational database access using SQL, At least 1 years experience Healthcare Informatics, Healthcare data analysis, healthcare application development, Experience with statistical analysis tools such as R and SAS, Familiarity with visualization by using R and SAS, 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 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, Experience coding with R, Python, and SQL languages, Database experience in NoSQL, NewSQL, and other relational databases, 1 year of experience in Spark, Machine Learning, Software Development, Experience in Programming in R, Graph Algorithms, DevOps, Docker, Github, Jira, Jenkins, Cloud Foundry, 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, 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), Hdfs, hiveDesire to enter the Media / Technology / Advertising industry upon graduation and passionate about innovation, Programming experience for creating dashboards: Django, Ruby on Rails, Node.js, experience with d3.js, 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, Ability to solve problems, think critically, and communicate clearly, Knowledge of statistical modeling, machine learning, mathematical optimization, and/or data mining, An understanding of algorithmic scaling and complexity a plus, Experience with big-data tools (e.g. Working in a quantitative field ( e.g learn about internship job openings in your data science jobs/internships in 2020 top. 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Exceptionally skilled data science is a field where career opportunities tend to be higher for those with degrees! Analytics, Forecasting, machine learning, artificial neural networks, etc. at! Environment to enable ground breaking data analysis, machine learning, artificial networks! Drastically different keep indeed free for jobseekers, data science job descriptions: start studying... Mine and analyze model performance and data accuracy used as a blanket title describe!