The Senior Data Scientist will be accountable for designing and putting into action data science solutions in order to drive business decisions
The ideal candidate will be able to perform data analysis on massive datasets, generate data visualisations, and design predictive models
A list of qualifications
Data Science requires expertise with a variety of data science techniques, including machine learning, deep learning, natural language processing, and others.
Understanding statistics requires familiarity with statistical procedures, testing of hypotheses, and predictive modelling.
Experience with data mining, data wrangling, and data cleansing
Data visualisation refers to the ability to produce eye-catching visuals that effectively communicate facts.
Experience with data analysis technologies such as SQL, Python, and R.
Required Skills:
It is necessary that candidates have a working knowledge of SQL, Tableau/Power BI, Spark, Python, and standard machine learning frameworks.
ETL deployment as well as model deployment Experience with deploying artificial intelligence and machine learning models in production situations
Basic knowledge of AWS
Prior experience in model monitoring, optimisation, and interpretability are all essential.
In addition to the talents listed above, the ideal candidate should be able to solve problems effectively, have strong communication skills, and be able to work independently.