Senior Data Scientist

Senior Data Scientist Job Description Template

Our company is looking for a Senior Data Scientist to join our team.

Responsibilities:

  • defining and providing requirements to data engineers in order to automate data;
  • performing modelling and analysis using charting, descriptive statistics and machine learning;
  • creating impactful dashboards and consumable insights using human centred design principles;
  • communicating complex concepts simply and translating outputs into actionable insights for business stakeholders;
  • mentoring junior data scientists including reviewing code and analysis approaches;
  • sourcing and identifying relevant data sources, cleaning and preparing data;
  • Extensive Experience in marketing science – building digital attribution models, econometric models or segmenting customers;
  • A University degree in a quantitative discipline e.g. Math/Statistics, Engineering, Computer Science, Econometrics, Actuarial etc. is required;
  • 5 years’ experience of building models and deriving insights in a position as a Sr Analyst or a Sr Data Scientist;
  • Experience in a client facing role would be highly advantageous.

Requirements:

  • familiarity with data visualization tools (e.g. Microstrategy, PowerBI, Tableau, Quicksight, Qlik);
  • proficiency working with large data sets (10m+ records) and cloud computing would be an advantage;
  • curious and business outcome focused with a problem-solving attitude;
  • practical experience with machine learning and statistics;
  • expertise in cleansing, combining and processing data;
  • strong collaboration skills having worked with business stakeholders to identify and shape problems to be solved with data;
  • experience in delivering the full lifecycle of projects from R&D through to deployment;
  • evidence of having innovated and improved a business outcome using data, rather than just implementing a requirement;
  • comfortable using Python or R;
  • Analytical mind, business acumen, strong math skills (e.g. statistics, algebra) and problem-solving aptitude;
  • Strong Knowledge of and experience R, SQL and Python;
  • Experience in data mining, statistical methods, machine-learning;
  • A track record in delivering data science solutions to improve business outcomes;
  • Experience in banking and Finance industry is highly desirable;
  • You have strong skills in data wrangling and databases using SQL.

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