Data Scientist

A leading and innovative company in the online entertainment industry, is expanding its data science team to meet the growing demand for advanced analytics services. They are currently seeking a Data Scientist to join their dynamic and forward-thinking organization.

As a Data Scientist, candidates will have the opportunity to work on cutting-edge projects and make a significant impact using their strong background in Python and SQL coding, as well as their expertise in statistical analysis and building machine learning models.

Benefits 

• Competitive salary up to £75,000, accompanied by attractive benefits and bonus opportunities
• The chance to work with vast amounts of user behaviour data and apply state-of-the-art statistical and machine learning techniques
• Engage in a wide range of data science projects, including machine learning, statistical/mathematical modelling, and predictive analytics

Responsibilities of the Data Scientist Role

• Leading a team of talented data scientists
• Building new models or enhancing existing ones to predict user patterns and optimize their experience
• Establishing a system to monitor and evaluate model performance
• Collaborating with data engineers to operationalize the models
• Performing statistical analysis to uncover valuable insights and patterns
• Engaging with product managers and senior stakeholders to drive innovation and shape new features
• Translating business requirements into technical specifications, enabling effective collaboration across teams

Key Skills for Success as a Data Scientist

• Bachelor’s degree in a relevant field (Mathematics, Computer Science, Engineering, Physics, etc.)
• Proficiency in SQL, Python (PyData stack), and/or R
• Strong understanding of statistics and supervised learning algorithms
• Track record of building predictive models using large datasets, including experience with unsupervised machine learning models
• Knowledge of productionising models in cloud environments (AWS, GCP, etc.) is a significant advantage

Preferred Tech Stack

• Analytics: Python (pandas, scikit-learn, pymc3, statsmodels, bokeh, mpl), SQL, Jupyter notebooks
• Big Data: AWS Redshift, Apache Spark, S3
• ETL: Python, SQL, Spark, Scala, MongoDB
• Data visualization: D3.js, re:dash, Tableau, bokeh

Join the dynamic and innovative team and be at the forefront of leveraging data to drive innovation and enhance user experiences in the online entertainment industry. Interested candidates can apply now and become part of their exciting journey!