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Senior Data Scientist

72% Flex
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Undergrad degree with 4+ years experience, Master's with 2+ years, or PhD, Machine learning fundamentals, data preparation, running advanced models, Experience in feature engineering, prototyping, project management.

Key responsabilities:

  • Collaborate with team on product goals and applying data science techniques
  • Develop algorithms incl. NLP solutions and recommender systems
  • Drive innovation, improve tools, analyze data, execute projects
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RELX Information Technology & Services XLarge https://www.relx.com/
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Job description

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Your missions

Senior Data Scientist

Business: Academic & Government - Product Data Scienc

Are you eager to create the best possible data science solutions that help solve customer (e.g. researchers, authors, editors) problems?

Do you want to develop decision support tools to help making faster and better decisions?

About our Team 


This is an exciting opportunity for a data scientist to join a highly collaborative product data science team that works within the Elsevier Academic & Governments product group. The team helps to make the most out of Elsevier’s high-quality scientific content, data, and customer understanding. Embedded in the product teams we solve customer problems by creating recommendations and we help make faster and better decisions. 

About the Role 

The Senior Data Scientist I role entails defining project scopes and executing basic methods. Additionally, you will collaborate with teams to deliver outcomes, develop best practices, and mentor junior staff.
 

Responsibilities 

  • Working together with the rest of the team, for understanding product objectives, key results, and data science specific requirements.
  • Developing algorithms and machine learning techniques and apply them to a wide variety of tasks such as NLP solutions and recommender systems.
  • Driving the innovation and application of new techniques and methods as applicable, and continuously strive to improve our tools and data science practices.

Requirements 

Essential 

  • Able to understand of machine learning fundamentals, including model training, testing, and validation.
  • Experience working across data science programming languages and frameworks to get up to speed with new ones and choose the right tool for the job
  • Experience with feature engineering, data preparation, and data pipelines.
  • Experience with prototyping and running advanced models in production.
  • Able to independently develop and execute project management of small-scale projects, and able to execute project steps for more complicated project management tasks

Nice to have 

  • Experience in using techniques to optimize Large Language Models training and deployment
  • Knowledge and preferably some experience with recommendation systems. 
  • Can prototype ideas very quickly in software with minimal supervision 
  • Knowledge about the research ecosystem, experience with academia or other professional research.

You are someone who 

  • Enjoys working in a collaborative and cooperative environment across technical disciplines and skill levels 
  • Is willing to take risks in learning new things and go beyond their comfort zone, mistakes are learning opportunities 
  • Is able to prioritise own work while keeping team and product priorities in mind 
  • Makes data science repeatable, follows existing procedures and be methodical in creating new ones
  • Is able to troubleshoot (own) projects and resolve issues.

Preferred academic background and professional experience 
  • Undergraduate degree in a relevant field and 4+ years of relevant work experience,  
  • Or a master's degree in a relevant field and 2+ years of relevant work experience.,
  • Or a PhD in a relevant field. 

Work in a way that works for you

We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

  • Working remotely from home
  • Working flexible hours - flexing the times you work in the day

Working with us

We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it.

Working for you

At Elsevier, we know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

 

  • Generous holiday allowance with the option to buy additional days
  • Health care insurance
  • Working remotely with a home set-up allowance
  • Wellbeing programs
  • Access to a competitive contributory pension scheme
  • Development days to further your learning and growth
  • Long service awards
  • RECARES days, giving you time to support the charities and causes that matter to you
  • Access to employee resource groups with dedicated time to volunteer
  • Access to extensive learning and development resources

About Us

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Join Us

PURPOSEFUL WORK
When you work with us, your work matters. You are part of an organization that nurtures your curiosity to stimulate innovation for the communities that we serve.

GROWING EVERY DAY
Like the communities we serve, you are on a constant path of discovery to shape your career and personal development.

COLLEAGUES WHO CARE
You will be part of the Elsevier family. We will support your well-being and provide the flexibility you need to thrive at work and home.

Together, we create possibilities.
Join us

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Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Team Collaboration
  • Risk Taking
  • Prioritization
  • Methodical Approach

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