Principle Data Scientist
1 day ago
Role Overview We are seeking a Principal Data Scientist to join and lead the Data Science capability of our growing Analytics & Technology Department. You will be leading the support of objective cricket performance decision making through advanced statistical modelling and data analysis. The successful candidate for this senior role will have a passion for cricket underpinned by an accomplished background in sports data & analytics and will be comfortable leading a distributed team of data scientists. You will be an excellent communicator with strong attention to detail, and expert abilities in capturing & understanding requirements then identifying and deploying the resources required to translate complex concepts into actionable insights. Job Description Effectively lead distributed data science team in identifying and delivering projects from a technical perspective, defining creative solutions and upholding best practice Build and validate intelligent models using, multiple data sources, that can simulate, predict and solve real-life situations and problems End-to-end deployment of machine learning models on cloud platforms Articulate solutions to non-technical users through UIs, tools and visualisations Identify and recommend new research opportunities, modeling approaches and development avenues to push the cutting edge of departmental capabilities You're a great fit for us, if you have:
- Strong technical understanding of data science, including statistical techniques,
- algorithms and machine learning
- Accomplished professional leadership experience in the field of data science within the
- sports domain – preferably with cricket knowledge
- A passion for cricket and desire to successfully mentor a growing data science team
- Comfortable in building complex functionality using Python and/or R and have a good
- knowledge of associated libraries, frameworks and tools
- Ability to test various algorithms and build complex models for specific problems
- Strong experience with building predictive and analytical data models using libraries such as Sklearn
- Experience in NLP techniques like processing text, named entity recognition,
- sentiment analysis, word embeddings, and similar
- Experience with data mining, data scraping and data augmentation
- Good understanding of SQL and databases, ability to optimise queries, design
- effective data schemas and manage complex database structures
- Comfortable with building and using REST APIs
- Adept at visualising data and communicate a narrative using tools like Matplotlib,
- Seaborn, Tableau and similar
- Experience with building custom UI for data models using JavaScript/React or similar
- for ease to non-technical users
- Adept at managing production of the solution, including end-to-end deployment on a cloud platform like GCP/AWS
- Strong academic background, with higher degree in Data Science/Statistical Modelling
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