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Senior Data Scientist

Jobgether

Salary not specified
Dec 3, 2025
Remote, US
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The partner company is looking to hire a Senior Data Scientist to design, build, and implement AI-driven solutions that analyze large-scale financial data, working on machine learning pipelines, predictive modeling, and advanced analytics to identify patterns, optimize performance, and mitigate risk. The goal is to improve decision-making, drive insights, and enhance enterprise-level spend management.

Requirements

  • Strong applied experience in machine learning, statistical modeling, and data analysis with large datasets.
  • Proficiency in Python and SQL; experience with data processing, feature engineering, and model deployment.
  • Knowledge of regression modeling, decision trees, random forests, SVMs, clustering, and ensemble methods.
  • Ability to work with structured and unstructured data to support product development and system design.
  • Understanding of probability, statistics, experimental design, predictive modeling, optimization, and causal inference.
  • Hands-on experience with Linux distributions.
  • minimum 5 years of data science experience with at least 3 years using Python.

Responsibilities

  • Lead AI and machine learning projects, engaging stakeholders to collect requirements, develop models, and deliver analytical solutions.
  • Design, maintain, and optimize end-to-end machine learning pipelines, including data ingestion, feature engineering, modeling, prediction, deployment, and diagnostics.
  • Research and implement advanced analytical methods to solve complex business problems.
  • Mentor and provide technical guidance to other team members.
  • Collaborate with cross-functional teams to integrate ML models into software products and user-facing analytics.
  • Identify opportunities to improve analytics quality, model performance, and predictive capabilities.

Other

  • Excellent communication and collaboration skills; experience translating business questions into analytical solutions.
  • Bachelor’s degree in Computer Science, Data Science, or related field
  • Experience in both R&D environments and software product development is a plus.
  • Competitive salary and performance-based incentives.
  • Comprehensive healthcare coverage, including medical, dental, and vision.