The Data Science team at Degreed works with large structured and unstructured datasets to understand how people develop the skills that they need to advance their careers.  To do this, we use a diverse set of tools and approaches, including feature engineering, clustering, classification and recommendation models, word embeddings, and  neural networks. Degreed is looking for a capable, qualified and versatile Data Scientist to help with the development and delivery of high-quality, data-driven, machine learning and predictive modeling solutions.

Day in the Life

• Own end to end Machine Learning projects
• Discover and translate business challenges to data problems, data-pipelines and model framework
• Mine structured and unstructured data (company internal data and public data) 
• Engineer features, build models, and evaluate model performance 
• Collaborate with product and engineering teams to deploy models to support production
• Deliver fast while continually adjusting models according to real-time feedback
• Communicate about data science with a diverse set of stakeholders and development partners
• This description reflects management's assignment of essential functions; it does not prescribe or restrict other tasks as assigned and is subject to change at any time

Who You Are

• 2+ years of industry work experience developing knowledge graphs
• Hands-on experience in one of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation systems, market-facing machine learning production software
• Strong coding skills in Python, or R
• Advanced skills in database querying (SQL, noSQL) and search techniques
• Experience building prototypes and experiments to validate technical ideas
• Familiarity in developing cloud-based solutions using micro-services architecture, docker containers and Kubernetes
• Ability to work in different coding environments (local, notebooks, containers) and familiar with software engineering workflows (testing, code management/Git)
• Ability to blend together diverse data sources to create training data for specific problems
• Excellent written and verbal communication skills. We’re a distributed team and rely on good communication to perform at a high level
• Experience working remotely - It takes a self-motivated individual to thrive on a distributed team

What Sets You Apart

• Experience working with graph data models (RDF, Property), graph query languages (Gremlin, SPARQL, Cypher), or graph databases (Amazon Neptune, Neo4J, TigerGraph)
• Experience in Natural Language Processing techniques for entity resolution, disambiguation, and linking
• Experience with tools and platforms like ElasticSearch, AWS, Microsoft Azure, Databricks, BERT, GPT, Word2Vec (w2v)
• A proven track record as central contributor to successful applied data science projects
• You are a lifelong learner and passionate about learning new things and taking on new challenges

Educational Preferred Qualifications 

• Master or PhD degree in a quantitative field like Computer Science, Math, Physics, Data Science, Analytics, etc

Total Rewards at Degreed

• Comprehensive health insurance for you and your family (both PPO and HDHP plans available)
• Dental and vision plans for you and your family
• Employer-paid life insurance, AD&D, short-term disability, and long-term disability
• Company equity
• 401(k) Retirement Savings Plan with up to 4% match
• Company funded HSA and dependent care FSA (pending eligibility)
• Generous Parental Leave
• Unlimited Paid Time Off and 5 sick days per year
• Education benefit: Up to $1,200 per year for anything you want to learn (and we mean anything)!
• One-time Home Office Stipend to make your workspace more comfortable
• Monthly internet and phone stipend
• Monthly wellness stipend through Twic