Data Scientist Intern Job Description
Data Scientist Intern Duties & Responsibilities
To write an effective data scientist intern job description, begin by listing detailed duties, responsibilities and expectations. We have included data scientist intern job description templates that you can modify and use.
Sample responsibilities for this position include:
Data Scientist Intern Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Scientist Intern
List any licenses or certifications required by the position: ITIL, SAS, PMI
Education for Data Scientist Intern
Typically a job would require a certain level of education.
Employers hiring for the data scientist intern job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Computer Science, Statistics, Mathematics, Science, Engineering, Math, Economics, Graduate, Physics, Machine Learning
Skills for Data Scientist Intern
Desired skills for data scientist intern include:
Desired experience for data scientist intern includes:
Data Scientist Intern Examples
Data Scientist Intern Job Description
- Mining vast amounts of data to identify trends in credit risk
- Build statistical models to form the foundation of business decisions and regularly monitor the performance of those models so corrective action can be taken
- Work under the supervision of a senior team member to create a mathematical model to support the observed experimental data for discovery phase analysis
- Develop software, analyses and reports to support both production and development operations
- Manage non-production data flow
- Working with Insights team staff on a variety of technical initiatives
- Experimenting with different combinations of our existing technology to prove or disprove hypotheses
- Demonstrating technology proof-of-concepts (POCs) by assembling bits of technology in a virtual sandbox environment that will allow leadership to see a potential piece of technology working with our existing systems
- Work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top notch research prototypes
- Establish user segment profiles and assess segment performance
- Bachelor’s degree required in a quantitative discipline such as Mathematics, Statistics, Economics, Engineering, Operations Research, Computer Science, Physics
- Intern or work experience with predictive analytics, pattern recognition, or data mining/data analysis preferred
- Self-motivated, work well both independently and as part of an agile team
- Apply various statistical and machine learning techniques to develop segmentations, association analysis, predictive models
- As an Intern data scientists will join a small team and participate as a group in projects executed on by the NPD group as a whole
- Have obtained or will obtain a master’s or PhD degree in a quantitative field of study between December 2017 and August 2018 from Johns Hopkins University
Data Scientist Intern Job Description
- Explain the predictive models to various business users and make recommendations to drive business strategy
- Make recommendations to resolve application performance problems
- Implement data processing methods and tools
- Collaborate with product leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models
- Leverage your experience in analytics tools and scientific rigor to produce actionable insights
- Distill and communicate key insights to senior management in verbal, visual, and written media
- Together with the Co-op department lead, determine an appropriate data science problem statement and toolset to apply during the co-op term
- Review and formalize the findings with the Co-op lead
- Advance the level of understanding and value of data science techniques at Charles River Labs
- Determine strengths and weaknesses of data science toolsets and procedures
- Working on a degree in Physics, Mathematics, Statistics, Computer Science or related field with project experience in data analysis, statistical modeling and hypothesis testing
- Knowledge of Machine Learning concepts (cross-validation, regularization, boosting, bootstrapping, ) is a plus
- MS or PhD degree in a quantitative discipline (applied mathematics, statistics, computer science, operations research, or related field) from a leading academic institution
- Experience with big data technologies (Hadoop, Spark)
- Bachelor or studying towards a Master degree in Statistics/Operations Research/Computer Science/Engineering/Economics
- Professional experience in data science, analytics or programming is a plus
Data Scientist Intern Job Description
- Develop innovative concepts and prototypes applying latest technologies in data analytics and data science
- Develop strategies to identify new opportunities and expand existing methods, provide insights, and build practical solutions to complex business problems
- Apply advanced analytics skills to turn data into competitive advantage and make recommendations for data-driven business decisions
- Text Analysis
- Participate in projects planning to leverage data science and cognitive technology
- Support the process of identifying key problems
- Research and identify ideas and data possibly used to solve such problems
- Participate in the process to build prototypes
- Individuals in this role identifies and addresses complex business problems
- Designs and drives the creation of new data products and analytical capabilities embedded in multiple business applications
- Experience with programming languages such as R, SPSS, Python, or Scala
- Have obtained or will obtain a master’s degree in a quantitative field of study between December 2017 and August 2018 from Columbia University
- Pursuing a Bachelor’s degree from Queens University
- Pursuing a Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, or another quantitative discipline from Queen's University
- Experience analyzing and manipulating large data sets using tools such as SQL or Python through co-op or school programs
- Experience with statistical analysis and data mining using tools such as R, SAS, Matlab, Stata, or SPSS through co-op or school programs
Data Scientist Intern Job Description
- Assist with SQL
- Uses business acumen to solution strategy and roadmap problems and make best practice recommendations
- Work closely with product managers to identify and answer important product questions that help improve outcomes
- Regularly invents new and novel approaches to problems
- Comfortable manipulating and analyzing complex, high-volume, high dimensionality data from multiple sources
- Assist in predictive modeling for applications in underwriting
- Perform tests and develop diagnostic methodology to ensure the accuracy and reliability of data process pipeline
- Validate and clean data from multiple sources
- Participate in research related activities
- Work cross-functionally across the enterprise to understand and support the use of real world data assets (EMR, claims, phenotypic data, ) and to enhance research evidence generation
- Experience with Hadoop, Hive, or MongoDB knowledge
- Experience in a Linux/Unix environment, with Git, AWS, or APIs through co-op or school programs
- Experience in statistical analysis, data mining, and/or machine learning
- 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)
- Graduate student with a focus in Statistics, Data Science, Applied Mathematics or other quantitative field
- Ability to demonstrate conceptual and innovative thinking in forecasting methods and techniques
Data Scientist Intern Job Description
- Pursuing a business related degree, with a major or emphasis/minor in Data Science/Data Mining/Data Analytics with a minimum of six hours of related course work
- Experience with a Programming Language (Java, C#, Python)
- Experience or education working with the various data storage mechanisms (Hadoop ecosystem, Microsoft SQL, Oracle)
- Exposure to Predictive Analytics Tools (R, SAS, Knime, Apache Spark) and Concepts (Regression, Clustering, Neural Networks)
- Coordinate and execute day to day activities with external partner and internal stakeholders
- Support efforts to collect, compile, and validate data using standard programming languages
- Support quantitative and/or qualitative analysis using standard statistical techniques and methods
- Support with data analysis and data preparation
- Transform, clean and visualize data from a variety of sources
- Work on large scale data set
- Currently enrolled in MS/PhD or equivalent program in Computer Science, Applied Mathematics, Mathematics, Statistics, Applied Statistics or similarly technical and applied computation intensive program
- Experience with big data platforms such as Hadoop/Hive/Spark
- Proficiency with at least one compiled programming language such as Java/Scala/C/C++
- Commercial software development experience and experience with open source development tools (e.g., Git, SVN, Maven, Eclipse)
- Experience working with geospatial data and systems
- Pursuing a Bachelor’s degree from McGill University