Senior Data Scientist

Posted 102ds ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

Senior Data Scientist developing ML models to enhance Super Dispatch's auto transport solutions. Collaborating across teams to improve recommendation and prediction engines while driving marketplace efficiencies.

Responsibilities:

  • Design and build new ML/DL/AI models, algorithms, and pipelines to meet business requirements
  • Support and improve existing ML algorithms and pipelines to deliver reliable and scalable solutions
  • Write production-quality Python code with comprehensive tests
  • Build and evolve transformative, real-time marketplace pricing engines based on machine learning that reflect dynamic market conditions
  • Improve existing recommendation and prediction engines by collaborating with key stakeholders (internal and external)
  • Conduct use case analysis and automate analytical workflows
  • Formulate hypotheses and run analyses to verify them
  • Design and build dashboards in Metabase to enable data-driven decision making
  • Collaborate with Marketplace Operations and Data Teams to identify and resolve issues using data science and machine learning methodologies
  • Collaborate with other departments and teams to improve data collection, processing, error handling, and data normalization
  • Provide thought leadership on data science to Product and Engineering Teams with best practices
  • Estimate roadmap items and support delivery of company roadmap commitments
  • Troubleshoot and fix issues identified in production systems.

Requirements:

  • 5+ years experience in developing and evolving complex high volume data models
  • 3+ years experience with data management platforms including SQL (SSAS), Tableau and Jupyter Notebook and applied experience in data transformation and visualization (Pandas, Numpy, Matplotlib, Seaborn)
  • Experience with strong Statistics and Mathematics knowledge
  • Experience with Machine Learning techniques (Linear Models, Decision Trees, artificial neural networks) and their real-world advantages/disadvantages
  • Knowledge of / experience with Python.

Benefits:

  • Gym/Wellness Stipend - We provide a monthly stipend for gym memberships ($50/month)
  • Generous Time Off Flex PTO policy so you can take the time you need, when you need it, as well as 6-12 weeks paid paternity leave
  • Great gear – we’ll set you up for success with the right tech and help you outfit your home office, if needed.