Senior Data Scientist at Degreed

Degreed is the upskilling platform that connects learning to opportunities. We integrate everything people use to learn and build their careers—skill insights, LMSs, courses, videos, articles, and projects—andmatch everyone to growth opportunities that fit their unique skills, roles, and goals.
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 oftools 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.
Position can be located in US, Brazil, or India.
Day in the Life
Lead multiple end-to-end ML 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 is not a data analyst role
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

4+ year 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. Including 2+ years focusing on developing knowledge graphs, or NLP models or content recommendation systems
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

 

You are a lifelong learner and passionate about learning new things and taking on new challenges

What Sets You Apart


Experience working with graph data models (RDF, Property), graph query languages (Gremlin,
SPARQL, Cypher), or graph databases (Azure CosmosDB, Amazon Neptune, Neo4J,
TigerGraph)

Experience in Natural Language Processing techniques for entity resolution, disambiguation, and

linking

Experience with tools and platforms like ElasticSearch, Microsoft Azure, AWS, BERT, GPT,

Word2Vec (w2v), Databricks

A proven track record leading successful applied data science projects

Educational/Certification Requirements

Master or PhD degree in a quantitative field like Computer Science, Applied Math, Physics, Data

Science, Analytics, etc


Additional InformationThis position requires the successful candidate to work in US, Brazil or India. Prior to commencing work,applicants must have and provide Degreed with proof of authorization to work in US, Brazil or India.Degreed provides equal employment opportunities to all employees and applicants for employment andprohibits discrimination and harassment of any type without regard to race, color, religion, age, sex,national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity orexpression, or any other characteristic protected by federal, state or local laws. This policy applies to allterms and conditions of employment, including recruiting, hiring, placement, promotion, termination,layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to the full inclusion of all qualified individuals. As part of this commitment, Degreed willprovide reasonable accommodations to all qualified individuals with disabilities to participate in the job.
Total Rewards at Degreed
We believe your best work happens when you have a complete life balance, and Degreed gives you the support and flexibility to make that happen. Degreed is committed to delivering a comprehensive benefits program that provides the support you need. At the time of this posting, this role is eligible to participate in the following benefits:

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

*Degreed reserves the right to modify these benefits at any time, for any reason in accordance with applicable law. Please note the offerings vary based on location.