JOIN OUR TEAM

Everstream Analytics is looking for a Data Scientist to join our Data Science team. 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.

POSITION OVERVIEW

In this role, your focus will be to implement Knowledge Graph models, algorithms, experiments and deployable code that bridge operational needs with strategic vision. You will spend time tackling day to day decisions and contributing to 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 real production software environment and where the model performance was really important.

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

Qualifications

• Bachelor of Science in Computer Science, Statistics, Mathematics, Physics, Engineering or a related field. Advanced degree is preferred. Equivalent work experience is also acceptable.
• 2+ years’ experience in building and deploying predictive analytics models using advanced machine learning algorithms and techniques such as: clustering, classification, regression, anomaly detection, natural language processing
• Proficiency in Python and SQL
• Experience with analytical development tools and libraries such as Pandas, NumPy, Scikit-learn, Spacy, PyTorch, Keras
• Familiarity with graph theory, graph query languages, graph algorithms
• 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
• English: both oral and written proficiency, with ability to clearly communicate technical results to both technical and non-technical audiences

Desired skills

• Experience with graph databases, query languages and graph DS libraries (Neo4j strongly preferred)
• Familiarity with knowledge graphs and entity resolution
• Exposure to graph-native machine learning models such as GNNs
• Experience developing applications in AWS

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