Data Scientist Job Description Template/Brief

We are looking for a Data Scientist Developer to assist us in analysing information, communicating results, and collaborating on product development to help translate our clients' data into meaningful business value. You'll work using the best open source and visual tools available, as well as the most flexible and scalable deployment choices.

You will use analytics, engineering, and machine learning to enable data-driven decision making across the product development lifecycle. You will be in charge of building this programme from the ground up, including collaborating with stakeholders, understanding all aspects of the products, interacting with cross-functional business and technical teams, predicting risks, improving strategic decisions, and leading experimentation/growth projects.

Data Scientist Job Profile

Data scientists are employed by companies to source, manage, and analyse vast volumes of unstructured data. Data scientists investigate which questions must be answered and where relevant data might be found. They are well-versed in business and analytical abilities and the ability to mine, clean, and display data.

Data scientists must be curious and results-oriented, with remarkable industry knowledge and communication abilities that enable them to convey highly technical outcomes to non-technical colleagues. To create and evaluate algorithms, they must have a solid quantitative foundation in statistics and linear algebra and programming experience with an emphasis on data warehousing, mining, and modelling.

Reports To

  • Head of Data Science
  • Head of Data Analytics
  • Data Science and Analytics Manager

Data Scientist Responsibilities

  • Create ETL scripts for exploratory data analysis
  • Identify critical metrics from SQL/NoSQL databases for use in Business Intelligence development
  • Create flowcharts, layouts, and documentation to establish needs and solutions
  • Create testable code for credit underwriting and business analysis
  • Document and maintain database table/schema functionality, as well as construct data tables to record information for future analysis
  • Troubleshoot, debug, and upgrade current systems, as well as guarantee ETL procedures, are up to date with the most recent features
  • Track Business Metrics to get a historical, present, and predicted picture of business activities
  • Deploy programs and deploy user input
  • Adhere to project plans and industry standards

Data Scientist Requirements & Skills

  • A Bachelor's or Masters Degree in a highly quantitative discipline (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
  • Some experience in predictive modelling, data science, and analysis
  • Experience in an ML or data scientist function, as well as a track record of developing ML or DL models, is preferred
  • Prior experience in implementing Python and/or R
  • Capability to develop production-level code that is well-written and understandable
  • Experience with ML libraries such as scikit-learn, caret, mlr, and mllib Experience developing models on GPUs Experience dealing with terabyte datasets
  • Ability to dig deeper into data to find hidden patterns
  • Familiarity with data visualisation software
  • Writing and tweaking knowledge of SQL