Forecasting Data Jobs

2 jobs found

Today

Sr. Associate, Product Manager – Model Analytics & Forecasting

Information Technology Senior Management Forum McLean, VA

McLean, VA

Today

$101k - $127k/yr Full time Analytics Data Analytics Financial Analytics

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Job Description

The Sr. Associate, Product Manager for Model Analytics and Forecasting leads product initiatives for model analytics and forecasting within Capital One's Finance Product & Data Solutions, overseeing platforms and governance for analytical models used in Capital Markets risk management.

Responsibilities

Embed with partners and stakeholders across quant model development, balance sheet risk management and Treasury trading desks to understand user pain points and the outcomes expected from modeling tools.
Partner closely with users and end customers, including Quant and Treasury teams, to translate business requirements that enable model development, testing, and deployment.
Collaborate with technology, data and business stakeholder teams, and peers in Research, Design and Architecture to develop and iterate on solutions for high priority needs.
Drive alignment across stakeholders by prioritizing competing initiatives, sequencing development of capabilities and features, and ensuring end-to-end delivery.
Establish success metrics and feedback loops to assess usability, adoption, and impact, iterating based on user and stakeholder feedback.

Requirements

Education: Bachelor’s degree or military experience.
Experience: At least 1 year of product management experience or at least 1 year of experience in product design, agile delivery, business analysis, data science, or software engineering.

Benefits

Health benefits
Financial benefits
Other benefits
Performance-based incentive compensation (cash bonus(es) and/or long term incentives)

Location

McLean, VA (onsite)

Salary

USD 101,100 - 126,900 per year

Salary by Location

Cambridge, MA: $111,200 - $126,900
McLean, VA: $111,200 - $126,900
Richmond, VA: $101,100 - $115,400

Job Type

Full-time

Posted

6/04/2026

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1mo ago

Machine Learning Engineer, Global Supply Chain

Tesla Fremont, CA

Fremont, CA

1mo ago

$140k - $210k/yr Full time Data Processing Deep Learning Forecasting

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Job Description

Tesla, Fremont, CA onsite, seeks a Machine Learning Engineer in Global Supply Chain to design, develop, and deploy forecasting, optimization, and recommendation ML models using data from diverse sources.

Responsibilities

Design, develop, and deploy ML models for supply chain forecasting, including demand prediction, inventory optimization, and risk assessment, leveraging supervised learning, convolutional neural networks, and tools such as PyTorch and Pandas.
Collaborate with supply chain planners to integrate models into existing platforms, enabling real-time decision making for supplier selection, warehouse allocation, cost reduction, and mitigation of part availability risks.
Validate models and monitor performance to ensure sustained accuracy in production environments.
Own production models, maintaining robust alerting systems for rapid issue resolution and ongoing maintenance.
Work with diverse, heterogeneous datasets (supply, demand, seasonality) to build scalable, end-to-end solutions.
Translate ambiguous problems into concrete ML solutions and deliver complete modeling pipelines.
Adhere to agile development practices and maintain clean, modular, and maintainable code.

Requirements

Proven experience scaling and optimizing inference for large ML models, with emphasis on transformers or similar architectures.
Familiarity with quantization-aware training, model compression, and distillation for edge and real-time inference.
Proficiency in Python and C++, and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
Strong understanding of computer systems and architecture, with experience deploying ML models on GPUs, TPUs, or NPUs.
Hands-on CUDA programming, low-level performance profiling, and compiler-level optimization using TensorRT, TVM, or XLA.

Technologies

PyTorch
Pandas
Python
C++
TensorFlow
JAX
CUDA
TensorRT
TVM
XLA
GPUs
TPUs
NPUs

Benefits

Medical plans with plan options that incur no payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans with no employee contribution
Company paid HSA contributions when enrolled in a high-deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life and AD&D insurance
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and vacation time, flexible/salary and accrued hours policies, and paid holidays
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance
Weight loss and tobacco cessation programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

What to Expect

Join the Supply Chain Engineering team to design, develop, and iterate data driven ML solutions for key internal workflows, leveraging data from multiple sources.
Develop, maintain, and deploy forecasting, optimization, and recommendation algorithms across production environments.
Collaborate with cross functional partners to translate business needs into scalable ML capabilities and reliable production systems.

Expected Compensation

USD 140,000 – 210,000 per year, plus cash and stock awards and benefits.
Offer details may vary based on location, job-related knowledge, skills, and experience. Total compensation may include additional elements; specifics provided with an offer of employment.

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