Data Science Intern Job Description
Data Science Intern Duties & Responsibilities
To write an effective data science intern job description, begin by listing detailed duties, responsibilities and expectations. We have included data science intern job description templates that you can modify and use.
Sample responsibilities for this position include:
Data Science Intern Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Science Intern
List any licenses or certifications required by the position: EPIC, SAS, CFA, HIPPA
Education for Data Science Intern
Typically a job would require a certain level of education.
Employers hiring for the data science intern job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Statistics, Science, Mathematics, Engineering, Economics, Math, Graduate, Physics, Technical
Skills for Data Science Intern
Desired skills for data science intern include:
Desired experience for data science intern includes:
Data Science Intern Examples
Data Science Intern Job Description
- Investigation of large data sets related to telecommunication services - identify unique patterns and determine potential business value of new data mining proposals
- Specification and prototyping of new algorithms for data mining telecommunications data
- Run analytic experiments and machine learning using cloud computing
- Summarize and present your research findings to both technical and nontechnical audiences
- Perform scripted testing of the current mobile meter
- Analyze credited output against scripts to evaluate the accuracy of the meter
- Evaluate trends within mobile data to create outlier rules for application usage
- Recommend rules for minimum viable usage to be included in the panel
- Understand the challenges underlying digital measurement
- Write and validate methodology
- Tool comparison research projects to increase efficiency of processes
- Our continued growth is dependent upon talented people with a variety of skills, knowledge and backgrounds
- Data Analysis and data wrangling (Pandas)
- Pursuing (or completion of) Master’s Degree in a quantitative discipline Computer Science, Math, Physics, Statistics, or other related field
- Ideal candidate would have math, statistics and/or finance background
- Currently enrolled in Master's program in Statistics, Math, Physics, Computer Science with plans to return to school in the following term (you are not eligible for this program if you have already graduated)
Data Science Intern Job Description
- Work with software engineers to implement production changes
- Work with product team on responding to-day-to day measurement inquiries
- Analyze data sets to determine the best methodology that would fit to the product
- Lead a portion of a larger DAR product enhancement project
- Understand and provide feedback on editorial guidelines for media quality rating, in the broader context of media governance and business goals
- Make and correct editorial judgments based on business needs
- Stay abreast of current issues in advertising technology, specifically in the area of media quality and media risk
- Collect and transform unstructured data into actionable insight
- Monitor the internal business performance and Target Attainment on weekly / monthly / quarterly basis
- Support creating emerging power system solutions based on breakthrough technologies for grid applications such as, power system planning, reliability, protection and cybersecurity
- Machine Learning (scikit-learn and other Python packages)
- Experience programming in R or Python
- Be willing to make a full-time commitment of 40 hours a week for 10 weeks from mid June to mid August
- Strong communication skills, and the ability to effectively discuss models with other data-scientists business partners at the appropriate level of technical detail
- Experience developing software, with at least a year in Scala and/or Python
- Actively pursuing a graduate degree at an accredited college or university required (Computer Science major preferred)
Data Science Intern Job Description
- Works on data science project requiring independent decision-making
- Apply data-mining and machine learning techniques for a variety of modeling and relevance problems involving DNS and networking data
- Support advancement of state of the art power system applications and renewable energy technologies, development for power grid optimization, energy economics, power grid apparatus such as switchgears, regulators
- Support technology development projects by working with teams (local and remote resources) and external technology resources (Business Divisions, Universities, National labs and Customers)
- Creates exhibits, reports, and charts for actuarial and reserve studies, state insurance department filings, and rate recommendations
- Work with assigned mentor on business problems
- Work with business experts to provide improved solutions
- Clarifies technical issues and resolves issues virtually, in person, or by coordinating other appropriate AAET resources as necessary
- Support EMEA Data Development Team on Research tasks
- Undertake data processing and build tasks under supervision
- Statistics (Python
- Knowledge of SQL, HTML, UNIX, one of the Ps (Perl/Python/PHP) and LAMP stack
- Experience with data visualization tools, such as D3.js, GGplot
- Experience in financial services a plus, but other relevant industries will be considered based on project depth
- Pursuing a degree (undergraduate, graduate or post-graduate) in Computer Science, Computer Engineering, Statistics or other quantitative disciplines
- You should have taken courses on topics such as database systems, software engineering, information retrieval, machine learning and / or statistics
Data Science Intern Job Description
- Learn how to utilize specific tools and processes and apply them to build datasets
- Ingest, clean and prep data for analysis
- Perform statistical inference from data
- Produce insights and results using information visualization techniques
- Collect engineering related data
- Categorize data and perform data analysis
- Identify trends as part of data analysis
- Report and present data/trends as diagrams/tables/charts
- Collaborate with engineering teams for any clarification, understanding of data
- Attend professional meetings
- Experience with the basic Hadoop stack, including Mahout, Hive, Pig, HBase, HDFS, and Oozie
- Good understanding of data science/data engineering fundamentals
- Recently obtained or upper division student working towards a minimum BS in Computer Science, Statistics, Applied Mathematics, or a related field
- Pursuing a Master's or PHD Degree in Computer Science, Computer Engineering, Math, or a related field is required
- Experience with Object Oriented development preferred
- Experience with machine learning and data mining required
Data Science Intern Job Description
- Establish and maintain a strong working relationship with our key business users to support growing their use of data science to improve operational and financial performance
- Partner with business units to help determine on-going needs by gaining further knowledge into their processes
- You will research, investigate and reconcile customer data, including typical CRM-type information with online proprietary industry reference databases and tools, augmented with your own initiative and internet accessible references with the ultimate goal of generating high confidence customer profiles and organizational relationship data
- The work may be done on a part-time basis, in our offices during normal business hours
- Supports the development/design of predictive models, working closely with data scientists
- Prepares internal and external communications, including interactions with regulatory authorities and management that will describe and support rules and rate changes
- Develops presentations and demos to communicate progress, share interim results, best practices, or to provide updates
- May be asked to analyze data with various analysis tools
- Works closely with senior data scientist following their instructions, consults with them and research individually the proposed methods
- Work with architects and product managers to identify analytics initiatives and develop efficient and reliable algorithms
- Experience with Unit and/or Automated Testing Frameworks preferred
- Understanding of Databases and Data Modeling preferred
- Strong theoretical background in a variety of Computer Science foundational concepts (algorithms and data structures) is required
- Advanced degree in Computer Science, Statistics, Data Science, Finance or equivalent
- Ability to query and analyze data from large databases
- Experience with object-oriented programming languages (C++, Java) preferred