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Machine Learning Data Scientist

Date:  Jun 19, 2022
Location: 

remote, MA, US, remote

Onsite or Remote:  Remote
Company Name:  EBSCO Information Services

EBSCO Information Services (EIS) provides a complete and optimized research solution comprised of e-journals, e-books, and research databases - all combined with the most powerful discovery service to support the information needs and maximize the research experience of our end-users. Headquartered in Ipswich, MA, EIS employs more than 2,700 people worldwide, most now working hybrid or remotely. We are the leader in our field due to our cutting-edge technology, forward-thinking philosophy, and outstanding team. EIS is a company that will motivate you, inspire you, and allow you to grow. Our mission is to transform lives by providing relevant and reliable information when, where, and how people need it. We are looking for bright and creative individuals whose unique differences will allow us to achieve this inclusive mission around the world.

Machine Learning Data Scientist

 

Machine Learning plays a key role in the products, services and technologies EIS offers to our customers. We are looking for a talented ML Data Scientist that will be responsible for executing EIS’s strategy to deliver new ML and AI capabilities to our products, and enhance the end-user experience, while augmenting our market presence and position.  This exciting opportunity is a critical balance of communicating, driving and orchestrating the vision leading to valuable product and service outcomes. It includes developing applications and platforms that will deliver positive change to our customers.

 

In this role you will:

·         Work with cross-functional teams, have exposure and visibility to senior leaders, and be able to make significant technical and business impact

·         Stay up-to-date on the latest ML research (actively reading research papers, blogs, etc.) and ML-related development products and tools

·         Start with the voice of the customer (VoC) and user from outside the company to the rest of our organization

·         Be familiar with market research design thinking methodologies

·         Cultivate relationships across a broad set of business functions and business units

 

Primary Responsibilities of the ML Data Scientist:

·         Analyze and understand data; serve as an ML and data subject matter expert (SME) for EIS

·         Engineer and code new ML offerings; i.e., training and test sets for new models targeting live client deploy through an enterprise deployment process normally based on arms-length integration through APIs into an AWS cloud environment

·         Work closely with business and technical constituents to implement proposed solutions in a collaborative fashion

·         Perform research that advances the state-of-the-art of ML

·         Introduce industry-leading or academic-based ideas and research to solve complex questions or fuel new business opportunities; design and own ML solutions to complex non-standard problems

·         Take the initiative to use ML to solve non-obvious business problems outside of current assignment

·         Build prototypes to explore applying ML solutions to EIS opportunities

·         Continuously improve high value business targets through experimentation while iterating on existing ML models

·         Collaborate effectively with others across the organization in an open, transparent and fact-based manner

·         Follow evidence-based processes for evaluating and market-testing new product ideas following Design Thinking and Lean/Agile principles

·         Use event storming to accelerate development

·         Collaborate with team to manage, track, and execute features/stories; commit to what can be accomplished in an iteration, and ensure quality delivery expectations are met

·         Manage A/B testing to provide feedback on systems making use of ML services; monitor the quality of the ML systems

·         Adhere to technology best practices

·         Demonstrate ownership of developed components from development through production

 

Required Qualifications:

·         BA/BS degree in Computer Science or related technical field or equivalent practical experience

·         2 years of work or educational experience in ML or AI

·         1 year of relevant work experience, including software development

·         Experience with one or more general purpose programming languages including but not limited to: Python or R or Java, and nice to have C/C++

·         General knowledge of ML, ML Tooling (specifically, but not limited to AWS SageMaker, MLFlow etc.)

·         General knowledge of data wrangling/preparation and data analysis

·         General knowledge of scalable systems

 

Preferred Qualifications:

·         MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field

·         Experience with one or more of the following: Natural Language Processing (NLP), Natural Language Understanding (NLU), Natural Language Generation (NLG) in terms of text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar

·         In-depth knowledge of ML algorithms: how they work, their proper use cases, their limitations, etc.

·         Ability to code algorithms presented in research papers in order to test out new discoveries

·         Hands-on experience with Cloud services (e.g., AWS, Azure, Google etc.)

·         Experience in Agile methodology, Enterprise Agile, LESS, DA(D) or SAFe

 

 

Cultural Competencies:

·         Drive: takes initiative, persists in the face of obstacles, and is driven to succeed.  Cares about EBSCO’s success and inspires others with thirst for excellence.

·         Positive Attitude: displays a ‘can do’ attitude; takes action to solve problems, achieve success, and make a real difference.

·         Eagerness to Understand: seeks to understand our strategy, markets, customers and suppliers.  Understands how work relates to company goals to make improvements consistent with these goals.   Follows facts and draws logical conclusions even if those conclusions differ from the status quo.

·         Sound Judgement: uses logic and common sense to make sound decisions despite ambiguity.  Identifies root causes and gets beyond treating symptoms to solving problems.

·         Collaboration: collaborates with others to help maximize work accomplished by the group and shares information broadly so that everyone benefits. Embraces individuals’ different styles and finds time to help colleagues.

·         Open Communication: is concise and articulate in speech and writing; always communicates professionally.  Creates a two-way flow of information; keeps others informed and updated so they can operate at their best.  Treats people with respect regardless of their views. 

·         Accountability: proactively does what needs to be done.  Acknowledges problems, takes responsibility, determines what can be done to solve the problem, and solves it!

·         Trust & Respect: consistently acts in a fair, honest, non-defensive and professional manner.  Assumes the best in people and their intent to do the right thing.  Takes initiative and learns from mistakes.  Is reliable, credible and authentic.

 

COVID VACCINATION REQUIREMENT: As directed by Executive Order 14042: Ensuring Adequate COVID Safety Protocols for Federal Contractors, all current and newly-hired EIS employees in the United States are required to be fully vaccinated by January 18, 2022 or by their date of hire.
We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex, pregnancy status, age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment. We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.


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