Forecasting Data Scientist

Visa

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Foster City, CA
Salary
$137,400–$212,500 / yr
Employment
Full-time
Posted
12 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $175k
$100k most similar roles pay here $225k

This role pays more than 60% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $175k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Visa

Visa Inc. is the world''s largest payment network, enabling digital payments for consumers, merchants, financial institutions, and governments through its global processing network and branded card products. Industry: Payments Technology & Financial Services

Visa currently has 98 open roles on FindRole.

Listed pay typically runs $153,500–$245,900 across 94 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Forecasting Data Scientist

The Forecasting Data Scientist joins a team focused on solving complex business problems through advanced data science techniques, AI/ML models, and data-driven frameworks. This role involves developing a vision for data science capabilities, designing large-scale systems, and collaborating with cross-functional teams to integrate solutions and communicate technical concepts to stakeholders. The candidate will work with real-world datasets to build scalable models while utilizing tools such as Python, R, Spark, TensorFlow, PyTorch, and scikit-learn. Specific expertise is required in time series forecasting methodologies like SARIMA, Vector-Autoregression, N-HiTS, TFT, DeepAR, and NeuralProphet, alongside emerging foundation models like TimesFM or TimeGPT. The role addresses challenges within the payments industry by applying deep learning, recommendation systems, and generative models to improve accuracy, experimentation speed, and model monitoring in a global environment.

What you'll do

  • Solve complex business problems using advanced data science techniques and AI/ML models.
  • Develop and execute a vision for data science capabilities aligned with business goals.
  • Lead the design and development of large-scale data science systems.
  • Integrate data science solutions into cross-functional workflows and communicate technical concepts to stakeholders.
  • Identify opportunities for data science to drive business impact and present results to senior leadership.
  • Maintain expertise in multiple programming languages and advanced data science tools.
  • Incorporate AI and automation capabilities into regular workflows to improve forecasting accuracy and team efficiency.

What we're looking for

  • Bachelor's degree or an Advanced Degree (e.g., Masters, MBA, JD, MD, or PhD).
  • 2 or more years of work experience.
  • Experience in multiple programming languages such as Python, R, and Spark.
  • Experience with data science tools and technologies including TensorFlow, PyTorch, and scikit-learn.
  • Experience building scalable models from large-scale datasets and working with real-world data.
  • Experience in deep learning, machine learning, recommendation systems, generative models, and statistical analyses (preferred).
  • Experience with time series forecasting methodologies and emerging AI-driven forecasting tools (preferred).
  • Experience incorporating AI and automation into workflows to improve accuracy and efficiency (preferred).

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