Senior Data Scientist
2 days ago
**Responsibilities**:
- Formulating, suggesting and managing data-driven projects in line with requests and needs from business.- Contribute new ML models to a REST API that provides on-demand predictions- Maintain and improve existing ML models and pipelines- Communicate with stakeholders from technical and non-technical areas- Delegate tasks, guide and provide support to less experienced data scientists in
order to realise the successful completion of collaborative projects.- Promote and help to establish cross-team collaboration- Evaluate machine learning models with mathematical rigour translated to examples
of real business cases- Selecting and employing advanced statistical procedures to obtain actionable
insights- Commitment to continual improvement in machine learning techniques, and providing
suggestions for improvements of existing models and detailing successes and
limitations of each project- Suggesting ways in which insights obtained might be used to inform business
strategies
Required:- Extensive experience as a data scientist, with demonstrable history of devising and overseeing data-centred projects.- University degree in a quantitative field (such as Computer Science, Physics, Statistics, Applied Mathematics, Economics,...) or equivalent- High proficiency in Python, experience with Git version control, in-depth understanding of SQL.- Implementation of best practices in software development- Familiarity with relational and columnar databases- Experience working with big data technologies (e.g. BigQuery, Spark, Hadoop, Beam)- Enthusiastic and creative approach to problem solving- Expertise with common algorithms for supervised and unsupervised learning, like
LDA, PCA, SVM, RandomForests, and K-Means.- 3+ years of industry experience or equivalent with machine learning/data science- Basic knowledge of Graph Theory, and Python web frameworks (such as Flask or
others)- Ability to complete an end-to-end data science project, from data ingestion to
deployment of a REST API / model / task
Nice to have:
- Experience with graph-based algorithms in machine learning- Experience with Airflow, NoSQL databases (Neo4j), real-time data streams (e.g.
Dataflow, Spark streaming or Kafka stream).Kubernetes, Cloud Run)
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