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Internship: Data Scientist

Internship, IT/Technology, English

Job Description:


* Build machine learning models (training, validation, and testing) with appropriate solutions for data reduction, sampling, feature selection, and feature engineering
* Design and evaluate experiments (including hypothesis testing) by creating key data sets
* Apply data mining or NLP techniques to cleanse and prepare large data sets
* Perform exploratory data analysis to understand ecosystems, behavioral trends, and long-term trends
* Help grow the Data Science function by defining and socializing best practices, particularly within a DataOps and MLOps data ecosystem
* Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review
* Communicate with business partners to understand their needs to help develop new strategic insights
* Define, collaborate, and communicate key influences, levers, and impacts to non-technical audiences
* Partner with and support Citizen Data Scientists

Candidate Requirements:


* Experience with developing machine learning models for production use
* Experience with executing and presenting predictive analytics projects
* Familiarity with the CRISP-DM analytics development model
* Experience working with a variety of statistical and machine learning methods (time series analysis, regression, classification, clustering, survival analysis, etc)
* Professional experience with python including python data libraries (numpy, pandas, matplotlib, scikit-learn), or R
* Deep understanding of SQL and its use in Databases, Data Warehouses and in business intelligence tools
* Working knowledge of statistics
* Comfort working in a highly agile, intensely iterative environment
* Positive and solution-oriented mindset
* Effective communication skills: Regularly achieve consensus with peers, and clear status updates

Source: Company website
Posted on: 09 May 2024
Type of job: Internship
Industry: Consumer Goods
Languages: English
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