Senior Data Scientist II
4 days ago
We are seeking a highly skilled Data Scientist II to join our team at RELX, a leading data and analytics company. As a Data Scientist II, you will play a key role in developing innovative data-driven solutions for our customers.
Key Responsibilities- Evaluate and maintain our data assets and training/evaluation data sets.
- Develop and implement NLP-based information extraction solutions.
- Propose and identify trade-offs of various algorithmic solutions.
- Interface with other technical personnel or team members to finalize requirements.
- Work closely with other development team members to understand moderately complex product requirements and translate them into software designs.
- Masters Degree in Data Science, Computer Science, Statistics, Machine Learning or related field.
- 3+ years of relevant work experience.
- Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms.
- Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT, large language models and prompt engineering.
- Strong Python, Scala or Java background.
- Knowledge of AWS, GCP, Azure, or other cloud platform.
- Understanding of data modelling principles and complex data models.
- Knowledge of relational and NoSQL databases (e.g. Postgres, Elasticsearch/ OpenSearch, AWS Neptune).
- Knowledge of Spark, Ray, or other distributed computing systems highly preferred.
- Knowledge of API development, containerization, and machine learning deployment highly preferred.
- Interest in ML Ops/AI Ops highly preferred.
At RELX, we develop innovative products for data analysis, visualization, and research. We use the latest techniques in AI, machine learning, and data visualization to uncover insights about judges' rulings, build forecasts of likely outcomes, and reveal critical connections in massive datasets spanning the law, news, and finance.
Our CultureWe promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees. We believe in a diverse and inclusive workplace, and we are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
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