Forecasting Data Scientist: AI-Driven Time Series Expert

110 Visa U.S.A. Inc.; California; Hybrid; CAD 196,000 - 303,000; Full time

Job summary

Visa is seeking a Data Scientist to solve complex business problems with AI/ML models and data-driven frameworks. You will lead the design of large-scale data science systems and collaborate with cross-functional teams to drive actionable insights.

Role requires 3+ days in office, strong experience in time series forecasting, and fluency with Python/R/Spark along with TensorFlow/PyTorch. Global scope and growth opportunities available.

Qualifications

• 2+ years of work experience with a bachelor’s degree or an Advanced Degree.
• Experience with time series forecasting methodologies, including SARIMA/SARIMAX or VAR/VECM.
• Experience with AI-driven forecasting tools and generative forecasting approaches.

Responsibilities

• 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 and foster innovation within the team.
• Apply advanced data science techniques to drive business impact and stay up-to-date with industry trends.
• Collaborate with cross-functional teams to integrate data science capabilities and communicate complex concepts to stakeholders.
• Develop and maintain expertise in multiple programming languages and data science tools.
• Identify opportunities for data science to drive business impact and present results to leadership.

Skills

Data Science

AI/ML

Forecasting

Cross-functional

Python

R

Spark

TensorFlow

PyTorch

scikit-learn

Big data

Education

Bachelor's degree or higher

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Job description

Visa is seeking a Data Scientist to solve complex business problems with AI/ML models and data-driven frameworks. You will lead the design of large-scale data science systems and collaborate with cross-functional teams to drive actionable insights.

Role requires 3+ days in office, strong experience in time series forecasting, and fluency with Python/R/Spark along with TensorFlow/PyTorch. Global scope and growth opportunities available.