Senior Data Scientist I

Senior Data Scientist

Are you interested in working with data and analytics to solve problems?
 

Are you interested in bringing your Machine Learning and NLP expertise to projects?
 

About our Team
 

We are a diverse team of NLP and machine learning experts, taxonomy experts and scientific content experts in biology and chemistry domains. We mainly develop best-in-class enrichment pipelines for Elsevier’s life science .com products such as Reaxys and Embase.
 

About the Role
 

You will be responsible for building, testing, and maintaining our NLP solutions. You will work throughout the whole life cycle of data science projects: design, implementation, production and beyond. You will deliver efficient and production-ready Python code. You will collaborate with the technology team to deploy and productionize our data science pipelines.
 

Responsibilities
 

• Data collection, data analysis, model development, defining quality metrics, quality assessment of models and regular presentations to stakeholders.

• Creating production-ready Python packages for each component of data science pipelines (such as pre-processing and model inference) and their deployment together with the technology team

• Integration of data science components and end-to-end quality assessment.

• Keeping our data science pipelines robust against model drift and ensuring continuous output quality; development of needed tools and strategies for maintenance such as automatic model re-training.

• Establishing the reporting process of the performance of the pipeline, and automatic re-training strategy for the existing pipelines

• Leading and managing projects with a team of data scientists and independently executing the entire small-scale projects

• Consistently communicating team goals and milestone achievements to internal stakeholders

Requirements
 

• At least 4+ years of relevant applied experience and Msc/MTech in the field of computer science, data science, artificial intelligence, mathematics, statistics, bioinformatics or other quantitative fields or at least 5 years of relevant experience. Phd in the field is a plus. International working/education experience is a plus!

• Strong hands-on knowledge of Python, able to write unit tests and production ready code adhering to best practices and object-oriented programming principles.

• Data processing, cleaning, and analysis skills: experience with Pandas, NumPy, Matplotlib, SciPy

• Hands-on machine learning experience on classification, regression, clustering, and text Mining. You have a good understanding of Neural Networks, Random Forests, Logistic Regression, SVM, K-Means etc., and are a confident user of Scikit-learn, PyTorch and/or Tensorflow.

• Hand on experience in training, building or fine-tuning LLMs and RAG infrastructure

• Very good communication and presentation skills, in particular proven ability to convey data science concepts effectively to non-technical audiences.

• Proven experience in managing projects and communicating stakeholders

• Willingness to learn, analytical thinking, problem solving skills; ability to translate complex requirements into practical solutions.

• Experience with Git, basic DevOps and CI/CD skills, cloud computing (AWS, Azure).

• Interest and willingness to gain experience in MLOps and data science productionization.

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 flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

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 wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
 

• Group Health Insurance Policy (covering self and family)

• Group Life insurance/accident policy

• Generous long-service awards

• New Baby gift

• Subsidised food provided (applies to India- Chennai)

• Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave

• Free Transport provided to and from the office (applies to India-Chennai)

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

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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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