Senior Data Scientist

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—and match everyone to growth opportunities that fit their unique skills, roles, and goals. Degreed exists to discover, empower and recognize the next generation of the world’s expertise.

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—and

match 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 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.

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 Information

This 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 and prohibits 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 or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms 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 will provide 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 Forma

*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.

Work Environment & Physical Demands

Degreed is a remote-first company, however our roles are open to in-office or flex work if you live in a city with a physical office location (when it is safe to return to the office). This role has the opportunity to operate 100% virtually from your home office. We primarily collaborate with our US and International colleagues through virtual meetings (Zoom), email, and Slack. In this role, you will be required to operate a laptop computer (PC or Mac available), computer software platforms, and other office productivity machinery as necessary. Due to the nature of this role, you must be able to remain stationary for extended periods, and must be able to observe and interpret written and/or verbal communication.

Additional Information

Degreed provides equal employment opportunities to all employees and applicants for employment and prohibits 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 or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms 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 will provide reasonable accommodations to all qualified individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

Degreed uses the E-Verify employment verification program.