Wolters Kluwer
Data Scientist
Requires basic technical knowledge of theories, principles and concepts of data science. Works under instruction, guidance and direction from more senior team members. Performs routine technical assignments and uses existing procedures to apply to technical concepts to solve standard problems. Provides basic machine-driven recommendations to augment human expertise in processes. Uses complex mathematical models and algorithms to predict business performance, find predictors, and has a basic understanding of trend analysis through the use of advanced predictive analytics and statistical methods. Focus is on advanced data analysis, feature creation, and training and validating models improving artificial intelligence and machine learning. Data Science works with management to define business opportunities, is charged with making raw data useful and understands business trends hidden in big data. Applies general knowledge of business and industry through education or experience. Performs structured work assignments in one or various job assignment(s). Responsible for output in specific work area to appropriate time and quality targets. Plans and prioritizes own work, and meets agreed timescales.
In this role, you will contribute towards solution development using Machine Learning and Natural Language Understanding (NLU) models for a range of data analytics problems.
Your responsibilities will include:
· Diving deep into data, doing analysis, and discovering patterns/root causes. Generate insights that drive the product.
· Analyze and evaluate the quality of data used for model training and testing
· Collaborate with scientists and engineers on data collection and feature design efforts
BASIC QUALIFICATIONS
· 0 - 3 years of experience working in field of Python Programming & Data Science/Engineering
MSc in Statistics, Engineering in Computer Science, or related quantitative field
· Experience with analyzing and quantifying data collected through crowd sourcing protocols
· Knowledge of descriptive statistics and visualization tools
· Familiarity with Natural Language Processing (NLP)
· Good knowledge of Python programming language
· Experience of working with Linux Commands and Shell Scripting
· Knowledge of statistical modelling / machine learning techniques / Deep Learning (Good to have)
· Experience with data selection methods: identify how to choose which data for which experimental set ups
· Good communication and organizational skills with significant attention to detai
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