Internship, Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Everstream Analytics is looking for a Junior Data Scientist to join our Data Science team. This position will report directly to the NLP Data Scientist Lead. As a member of Data Science, you will join a dynamic team of people focused on our next generation product. We have an exciting opportunity to help shape how we use data to build models and generate actionable insights to give our customers a risk aware supply chain which will advance outcomes for the business and the industry. This role will partner closely with Product Development, Product Management, Risk Intelligence, and Marketing.

POSITION OVERVIEW

In this role, your focus will be to develop Natural Language Processing (NLP) and Natural Language Understanding (NLU) models, algorithms, simulations, and experiments that bridge operational needs with strategic vision. You will learn current processes, build data backed solutions, automate solutions, launch your work to production, and audit implementation. In the simplest terms, we want candidates who have experience building models to solve real industry problems that have been deployed in a production software environment and where the model performance was really important.

This role is permanently Remote

Principal Accountabilities

• Initiate the efficient implementation of methods, tools, and algorithms for preliminary data exploration, data visualization and preparation, model training, and algorithm validation and verification using a comprehensive range of software packages and programming languages
• Identify, retrieve, manipulate, relate and/or exploit multiple structured data and unstructured data sets from various sources
• Interpret and evaluate the results of data science community's methods and models and/or algorithms, understanding the limitation and scope of the results
• Respond to difficult data science-related challenges in a timely manner while effectively balancing competing priorities
• Present information and results of analysis using data visualization techniques

 Knowledge, Skills and Abilities

• Bachelor of Science in Computer Science, Statistics, Mathematics, Physics, Engineering or a related field. Advanced degree is preferred. Equivalent work experience is also acceptable.
• 1-3 years’ experience in building and delivering predictive analytics models using advanced machine learning algorithms and techniques such as: classification, outlier detection, clustering, boosting, and neural networks.
• Good scripting and programming skills with experience using Python and other packages for data analysis
• Practical knowledge in applying NLP and NLU concepts such as Topic Modelling, Topic Classification, Named Entity Recognition
• Experience with analytical development tools including libraries such as Pandas, NumPy, Scikit-learn, PyTorch, and Spacy.
• Self-starter with a curious attitude and a willingness to learn and master new technologies.
• Ability to act easily in a global environment, with understanding of cultural differences and behavior.
• Ability to clearly communicate technical results to both technical and non-technical audiences

Desired skills

• Experience with entity resolution products or a background in data matching theory and technologies.
• Experience with more recent NLP techniques, such as Transformers or Hugging Face models
• Proficiency in using query languages such as SQL, Hive, and Pig with experience in a Big Data environment.
• Experience developing applications in AWS.