Forecasting

Forecasting Data Jobs

7 jobs found

Today

Data Scientist, Demand Forecasting

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

Today

$108k - $160k/yr Full time Analytics Data Analysis Data Analytics

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Job Description

An onsite Data Scientist, Demand Forecasting role with Amazon.com Services LLC based in Bellevue, WA. The position offers a salary range of USD 108,300 to 160,000 per year and requires at least a bachelor's degree along with a minimum of one year of relevant experience. The role centers on building large scale foundation models for demand forecasting across hundreds of millions of products, geographies, and business contexts, and it entails designing and conducting experiments, managing end to end forecasting model lifecycles, and translating findings into production impact.

Responsibilities

Design and run scalable experiments to evaluate foundation model performance across hundreds of millions of products, geographies, and business verticals.
Lead the end to end lifecycle of forecasting models from research and experimentation through production deployment, including defining success metrics, obtaining stakeholder sign off, and guiding rollout.
Run online and offline labs to measure real world impact of forecast improvements beyond accuracy, including downstream supply chain, inventory, and financial outcomes.
Develop and deploy production grade deep learning and statistical models using Python, Scala, SQL, and related tools.
Perform large scale exploratory data analysis to uncover patterns, identify opportunities, and inform model development.
Translate complex research findings into clear insights and recommendations for technical and non technical stakeholders at all levels.
Contribute to Amazon's scientific community and the broader research field through collaboration and publication in top tier venues.

Requirements

1 or more years of experience with data querying languages such as SQL, scripting languages like Python, or statistical/mathematical software such as R, SAS, or Matlab.
2 or more years as a data or research scientist, statistician, or quantitative analyst in an internet based company with large and complex data sources.
Bachelor's degree.

Technologies

Python
Scala
SQL

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign on payments
Restricted stock units RSUs

About the Team

The Demand Forecasting team sits at the heart of Amazon's supply chain, building the science that determines what products are available, when, and at what cost for hundreds of millions of customers worldwide. Our mission is to push the frontier of large scale time series forecasting and to deploy science where it creates real, measurable impact. We are a team of scientists who value both research rigor and real world outcomes. We do not publish

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Today

Senior Data Scientist, Algorithms, Forecasting and Realtime Optimization Platform

Lyft Seattle, WA

Seattle, WA

Today

$136k - $170k/yr Full time Senior Analytics Data Analytics

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Job Description

Senior Data Scientist role on Lyft's Forecasting and Real-Time Optimization Platform (FORTOP) in REM, Seattle, WA (hybrid), with a salary range of USD 136,160 to 170,200 per year, and requiring MS or PhD and at least 5 years of experience.

Responsibilities

Collaborate with engineers, product managers, and business partners to frame problems mathematically and in business terms, guiding roadmaps across cross-functional teams
Conduct exploratory data analysis to deepen understanding of the problem and the marketplace
Build, fit, and evaluate time series forecasting and machine learning models
Produce production-ready model code and work with software engineers to deploy and scale models and algorithms in production with attention to correctness, efficiency, consistency, and technical debt
Design and run both simulated backtests and live experiments; analyze results, communicate findings, and support launch decisions
Establish and enhance monitoring of model and signal health; develop scalable tooling to improve the efficiency of operational tasks

Requirements

MS or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science, or other quantitative fields, or equivalent work experience
5+ years of professional experience in a technology company with a product
Proven experience building and evaluating time series forecasting and machine learning models, ideally in real-time or large-scale production settings
Solid foundation in core ML concepts — feature engineering, model evaluation, and managing the bias-variance tradeoff
Proficiency with Python and modern ML libraries; experience in a production coding environment
End-to-end data experience including querying, aggregation, analysis, and visualization
Interest in solving unstructured and non-standard mathematical problems
Strong written and verbal communication; ability to align stakeholders and influence decisions through reasoning and data

Technologies

Python

Benefits

Medical, dental, and vision insurance
Mental health benefits
Family building benefits
Child care and pet benefits
401(k) plan with company match
Paid time off (discretionary for salaried; 15 days for hourly)
18 weeks of paid parental leave
Subsidized commuter benefits
Lyft credits and Lyft Pink membership

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3d ago

Lead Data Scientist, Demand Forecasting

Scout Motors Charlotte, NC

Charlotte, NC

3d ago

$160k - $193k/yr Full time Analytics Data Analysis Data Analytics

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Job Description

Responsibilities

Develop Scout's inaugural probabilistic demand forecasting model, forecasting unconstrained demand at the business-planning granularity, converting reservation backlog into probabilistic signals, timing its conversion, and incorporating organic demand as a separate signal.
Address cold-start by delivering a credible forecast before sales history exists, using reservations, configurator and order data, market analogs, and structured priors, then progressively replace assumptions with real data as the market provides it.
Own demand data end to end: source, define, and steward the data powering the forecast; design pipelines and the feature/data layer; maintain data quality and shared definitions used downstream.
Collaborate across the business to ensure inputs and outputs are grounded in real signals and delivered in a usable format for stakeholders and teams that consume the forecast.
Make the forecast legible by documenting methodology and assumptions, quantifying uncertainty transparently, and explaining the model's logic to non-technical stakeholders in Finance, Commercial, Production, and Procurement.
Work with IT and Product to productionize the model, moving from notebooks into the IBP digital product with pipelines, deployment, monitoring, and retraining capabilities.
Establish forecast measurement, including back-testing, accuracy tracking, and model monitoring, so the forecast improves on a defined cadence as post-launch data accrues.
Lay the foundation for next-generation planning capabilities by building scalable data and modeling infrastructure for Scout's AI/ML initiatives.

Requirements

12+ years of applied data science or forecasting experience, with a track record of building and shipping statistical or ML models that others depend on.
MS or PhD in statistics, applied mathematics, physics, operations research, economics, or a related quantitative field, or equivalent applied experience.
Strong probabilistic and time-series modeling foundation, including hierarchical or Bayesian approaches suited to granular, sparse, and uncertain demand; you reason in distributions, not just point estimates.
Fluency in Python and the modern modeling stack, strong SQL, and the ability to own data end-to-end — pipelines, data quality, and definitions, not only the model.
Experience forecasting with sparse, new-product, or cold-start data using analogs, priors, and judgment-augmented methods, with honesty about their limits.
Experience deploying models in production alongside engineering and product teams, focusing on deployment, monitoring, and retraining.
Comfort working with AI coding tools (for example Claude Code, Copilot, Cursor) to accelerate prototyping and delivery while applying sound judgment on their usefulness.
Ability to translate technical work for non-technical audiences and defend a forecast in cross-functional settings with senior stakeholders.
High ownership mindset and comfort in a fast-moving, evolving environment where data and priorities are still maturing.
Nice to have: automotive or manufacturing experience, demand sensing or hierarchical forecasting, ML Ops, and experience embedding models within a digital product.

Technologies

Python
SQL
Claude Code
Copilot
Cursor

Benefits

Competitive medical, dental, vision and income protection plans
401(k) with employer match and immediate vesting
Generous Paid Time Off including 20 days planned PTO, 40 hours of unplanned PTO and 14 company or floating holidays annually; up to 16 weeks of paid parental leave for biological and adoptive parents; paid leave for bereavement, jury duty, voting time, or military leave

Location and Travel

This role is onsite at Scout Motors corporate headquarters in Charlotte, NC.
Expect 4-5 days per week in the office with regular in-person meetings and events.
Occasional travel to participate in company events and collaborate with colleagues in person.

Pay Transparency

This is a full-time exempt role with base pay plus eligibility for an annual performance bonus. Final salary offered will reflect the candidate's skills and experience. The base salary range is $160,000 to $192,500 per year, and the internal leveling code is IC7. The annual bonus program is preset and not candidate-dependent.

Notice to Applicants

To be considered for opportunities at Scout Motors, applicants must be 18 years of age or older.
San Francisco residents: Scout Motors will consider qualified applicants with arrest or conviction records in accordance with the San Francisco Fair Chance Ordinance.
Los Angeles residents: Scout Motors will consider qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring.
New York City residents: This role is not eligible for remote work in New York City.

Equal Opportunity

Scout Motors is an Equal Opportunity Employer dedicated to a diverse workforce. Qualified applicants will be considered without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other legally protected status. Scout Motors complies with all applicable fair employment practice laws.

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3d ago

Senior Principal Data Scientist, Advanced Forecasting

Edwards Lifesciences Irvine, CA

Irvine, CA

3d ago

$145k - $205k/yr Full time Senior Advanced Analytics Analytics

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Job Description

The Senior Principal Data Scientist, Advanced Forecasting is based onsite in Irvine, CA and contributes to building and operationalizing statistical forecasting models and scenario planning at Edwards Lifesciences. The role partners with Finance and Anaplan and helps establish an Advanced Forecasting Center of Excellence. Salary range: USD 145,000 - 205,000 per year.

Responsibilities

Develop and maintain data driven forecasting models across time-series, AI/ML, causal/driver-based approaches, and probabilistic scenarios (Monte Carlo) to project key financial and operational outcomes such as revenue, margin, opex, and cash flow.
Serve as a strategic partner to the Anaplan planning program by defining data based forecasting requirements and ensuring outputs integrate cleanly into planning workflows.
Drive last mile adoption through templates, dashboards, documentation, and stakeholder training so teams consistently use statistical outputs in planning and reviews.
Communicate complex findings clearly through concise executive narratives, visuals, and data driven recommendations.
Establish model testing and validation routines (back testing, error metrics, drift monitoring) and document assumptions, limitations, and controls.
Collaborate with FP&A to align management forecasts with data driven insights from the statistical forecasts.
Design scenario and sensitivity frameworks that quantify tradeoffs, risks, and uncertainty, translating outputs into actionable insights for Finance and business leaders.
Stand up an Advanced Forecasting Center of Excellence, including modeling standards, reusable code and modules, data definitions, governance, and prioritization intake.
Collaborate with Data and IT to improve pipelines, data quality and governance, and automation; ensure models are scalable, maintainable, and auditable.
Fulfill other incidental duties as needed.

Requirements

Bachelor's Degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or Biostatistics.
Minimum experience: 4 years.
Experience requirement details: A minimum of ten years of experience including either industry or industry/education or equivalent work experience (OR eight years with a Masters OR four years with a PH.D).

Technologies

Python
R
SQL
Anaplan
Databricks
Azure
AWS
Oracle
JDE
Concur
Salesforce.com

Benefits

Competitive salaries
Performance based incentives
Wide variety of benefits programs to address the diverse individual needs of our employees and their families

COVID Vaccination Requirement

Edwards Lifesciences emphasizes protection of patients and healthcare providers. Accordingly, all patient facing and in hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply

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1mo ago

Treasury Data Analyst

UnitedHealth Group Eden Prairie, MN

Eden Prairie, MN

1mo ago Closed

$73k - $130k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jul 14, 2026).

Job Description

UnitedHealth Group offers a comprehensive benefits package, incentive and recognition programs, an equity stock purchase plan, and 401(k) contributions, all supporting a collaborative, data-driven culture. This hybrid role in Eden Prairie, MN focuses on building forward-looking cash flow forecasting analytics, ML-powered modeling, dashboards, and data quality controls to support Treasury decision-making. The position requires an undergraduate degree and at least two years of relevant experience, with a salary range of USD 72,800 - 130,000 per year.

Benefits

comprehensive benefits package
incentive and recognition programs
equity stock purchase
401k contribution

Responsibilities

Collaborate with data analysts, scientists, and Treasury teammates to deploy machine learning based predictive data models for cash flow forecasting
Leverage Power BI to craft reports and dashboards that yield actionable insights for measuring, forecasting, investing, borrowing, and risk management
Develop SQL queries and automated workflows to extract and manipulate data for analytical needs
Partner with other departments to gather forward-looking business data to enhance forecasting models
Design, validate, and run data quality and integrity checks to ensure reliable analytical outputs
Translate business questions and requirements into technical logic and analytical solutions
Present insights, assumptions, and limitations clearly through visuals and dialogue to audiences ranging from operators to senior leadership

Requirements

Undergraduate degree in Accounting, Finance, Economics, Analytics, or other quantitative field
2+ years of data analytics or financial analysis within treasury, finance or related business function
High attention to detail with a strong focus on accuracy, quality, and data integrity
Ability to synthesize large datasets, interpret financial statements, analyze cash flow projections, and understand financial ratios
Analytical mindset with comfort navigating ambiguity and managing multiple priorities
Effective communication skills to convey insights and recommendations to stakeholders across all levels

Technologies

Power BI
SQL
Microsoft Excel
Snowflake

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1mo ago

Sr. Associate, Product Manager – Model Analytics & Forecasting

Information Technology Senior Management Forum McLean, VA

McLean, VA

1mo ago Closed

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

This position is no longer accepting applications (closed Jul 9, 2026).

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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2mo ago

Machine Learning Engineer, Global Supply Chain

Tesla Fremont, CA

Fremont, CA

2mo ago Closed

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

This position is no longer accepting applications (closed Jun 7, 2026).

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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Forecasting Data Jobs

Data Scientist, Demand Forecasting

Senior Data Scientist, Algorithms, Forecasting and Realtime Optimization Platform

Lead Data Scientist, Demand Forecasting

Senior Principal Data Scientist, Advanced Forecasting

Treasury Data Analyst

Sr. Associate, Product Manager – Model Analytics & Forecasting

Machine Learning Engineer, Global Supply Chain

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