Job Search and Career Advice Platform

Enable job alerts via email!

Senior Data Scientist

Vista Global

City of Westminster

On-site

GBP 70,000 - 90,000

Full time

3 days ago
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A high-growth aviation company in the UK is seeking a Senior Data Scientist to leverage quantitative skills in statistics and machine learning. This role involves collaborating with product managers, engineers, and data scientists to develop and maintain machine learning models, create forecast models, and drive insights for business decisions. The ideal candidate has over 5 years of experience in machine learning, a strong understanding of algorithms, and is proficient in Python and SQL. This opportunity allows you to play a crucial role in optimizing the private jet aviation marketplace.

Qualifications

  • 5+ years of professional industry experience in machine learning.
  • Good understanding of machine learning algorithms and model development.
  • Experience with data visualization and cloud computing tools.

Responsibilities

  • Defining and evaluating key metrics for fleet network optimization.
  • Creating forecast models for demand and supply.
  • Lead and maintain machine learning models for marketplace success.
  • Performing customer segmentation and analysis.
  • Perform model evaluation and testing for improved accuracy.
  • Summarizing results and building dashboards for stakeholders.
  • Working with product managers and engineers for robust solutions.

Skills

Machine Learning
Statistics
Python
SQL
Data Visualization
Cloud Computing
MLOps

Education

Master's degree in Math, Statistics, or Machine Learning

Tools

Sagemaker
Job description

As a Senior Data Scientist, you have an unparalleled opportunity to use your quantitative skills in statistics, machine learning, operations research, and programming skills in Python and SQL. You will answer high impact open questions for the business team, prototype ML algorithms, productize the algorithm in collaboration with the team. You will be collaborating with Product Managers, Engineers, other Data Scientists/Engineers and Product Analysts to solve many complex problems while having a lot of fun. The team is growing exponentially offering ample opportunity to own additional responsibilities and disrupt the private jet aviation space. This is a unique opportunity for you, as a data scientist to join a strong, and high growth company early in its lifecycle and help us define and realize our vision.

Responsibilities
  • Defining and evaluating key metrics for fleet network optimization.
  • Creating forecast models for demand and supply to enable fleet balancing.
  • Lead, build, and maintain machine learning models that are core to our success as a marketplace for private aviation.
  • Performing customer segmentation and analysis based on various features to understand customer behaviors.
  • Performing model evaluation and testing to improve accuracy and robustness.
  • Maintain and update machine learning models to stay ahead of the change.
  • Summarizing results and building dashboard to present findings to guide other stakeholders to make data driven decisions.
  • Work with product managers and engineers to turn prototypes into robust, reliable solutions.
Qualifications
  • Master's degree in a quantitative field like Math, Statistics or Machine Learning.
  • 5+ years experiences of professional industry experience in machine learning (Experience with models and analysis for network optimization and experimentation a plus).
  • Good understanding of machine learning algorithms and statistics and ML model development with prototyping.
  • Proficient in Python and SQL.
  • Experience with data visualization and cloud computing tools.
  • Ability to communicate clearly and effectively to cross functional partners of varying technical levels.
  • Experience with MLOps, worked on platforms such as Sagemaker etc.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.