Mathematics and Modeling Estimating Lead Job at Boeing (El Segundo)

Marketing Mix & Attribution Modeling Lead- Data Science Manager

The Marketing Mix & Attribution Modeling Lead will manage a team of data scienti...

Location

United States , Columbus, Ohio; Westwood, Massachusetts; Johnston, Rhode Island

Salary:

190000.00 - 220000.00 USD / Year

Citizens Bank

Expiration Date

April 30, 2026

Requirements

8+ years of experience in quantitative analytics including marketing analytics, financial modeling, applied statistics, or equivalent
5+ years of experience in continuous and discrete dependent variable regression-based modeling
5+ years of experience coding in SQL, Python and maintaining standalone Python-based applications
3+ years of hands-on experience programming marketing mix modeling or comparable solutions in Python
Proven ability to lead high-performing teams through influence, accountability coaching and talent development
Expertise translating statistical models into scenario planning and optimization tools leveraging GAMS, PyOpt or a comparable platform that solves non-linear, constrained optimization problems
Expertise on Time-Series Modeling, with demonstrated ability to quantify uncertainty and model complex hierarchical data using Bayesian methods
Bachelor’s Degree in statistics, computer science, engineering, mathematics or similar quantitative field required
Master’s Degree preferred

Job Responsibility

Build, maintain, and evolve market level marketing mix models to estimate the causal impacts of marketing activities on Citizens’ financial outcomes in the short and long term
Manage and lead the model development lifecycle for a suite of Marketing Mix Models, including data wrangling, exploratory data analysis, feature engineering and variable transformations, econometric model development, model validation, documentation, model governance management and monitoring
Decompose models and derive marketing “due-tos,” attributing financial outcomes to marketing impressions and spend. Derive marketing performance KPIs including Cost per Incremental Account (CPIAs) and Return on Marketing Investment (ROMIs)
Leverage non-linear constrained optimization to operationalize the suite of Marketing Mix Models and develop a scenario planning and optimization tool that can be used by the Marketing Analytics and Marketing teams to optimize marketing investments across products, channels, markets, and time
Automate the model development process to scale model building across all Citizens’ Consumer Lines of Businesses
Develop multi-touch attribution models using data driven statistical approaches beyond heuristic or rules-based models
Partner with Marketing Analytics SPOCs, Media Analytics & Insights colleagues, and Enterprise Marketing stakeholders to derive actionable insights and recommendations. Find opportunities to optimize the marketing mix and maximize NPV given a budget and/or minimize budget given a NPV goal
Become an expert across marketing channels, customer segments and key markets tracked by Citizens’ Enterprise Marketing team to contextualize business activities and priorities
Document and communicate technical/analytic results, insights, and recommendations to both technical and non-technical audiences
Collaborate with data scientists and analysts on our team to brainstorm solutions, understand data availability and tools, provide project updates, and share ideas

What we offer

competitive pay
comprehensive medical, dental and vision coverage
retirement benefits
maternity/paternity leave
flexible work arrangements
education reimbursement
wellness programs
paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States
opportunity to earn an annual discretionary bonus

Fulltime

Modeling and Simulation Product Team Lead

We are seeking a Modeling and Simulation Product Team Lead who will be developin...

Location

United States , Colorado Springs

Salary:

130000.00 - 155000.00 USD / Year

Trace3

Expiration Date

Until further notice

Requirements

Developing and working with mathematical models
Algorithm engineering to solve computer algorithm problems, including design, analysis, implementation, optimization, profiling, and experimental evaluation
Systems engineering and software engineering processes and principles
Modeling and simulation of large complex systems
Machine learning techniques and metaheuristics
Verification & Validation (V&V) testing of complex software systems
Surveillance and target acquisition, track state estimation and correlation, track-to-truth mapping, state vectors, tracking covariances, coordinate conversions, time conversions, and EOIR/RF phenomenology, scheduling and resource management, identification and discrimination, battle management, signal processing, and/or orbital dynamics
Agile software development processes
Distributed application environments coded in Java, C++, or other Object-Oriented languages
Strong math and physics, including probability and statistics, linear algebra, and calculus

Job Responsibility

Work closely with agile teams to understand concepts, algorithms, and logging in order to prototype Modeling and Simulation Tools and generate scenario datasets
Utilize math, physics, statistics, data parsing, plotting, and database techniques to develop Algorithm Description Documents (ADDs) and algorithm reference implementations and commit them to Git repositories for version control
Develop unit tests, preferably as Cucumber scenarios, in order to support the transition and development of MATLAB reference implementations in Java
Use DevSecOps principles to setup and maintain nightly pipelines to support automated analysis / test and continuous integration testing of algorithm reference implementations
Provide demonstrations of their ADDs and reference implementations as part of Agile sprints with their respective Integrated Product Team (IPT) to the Project Owners (POs) and Release Train Engineer (RTE)
Provide technical support to the IPTs in order to develop M&S tools that help verify and validate the tactical implementation of algorithms
Develop technical briefs and present briefings to both internal and external stakeholders at Technical Interchange Meetings (TIMs)
Complete understanding and wide application of technical principle, theories, and concepts in the field
Having a general knowledge of other related disciplines
Provide technical solutions to a wide range of complex difficult problems (solutions are imaginative, thorough, practicable, and consistent with organizational objectives

What we offer

Comprehensive medical, dental and vision plans for you and your dependents
401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability
Competitive Compensation
Training and development programs
Major offices stocked with snacks and beverages
Collaborative and cool culture
Work-life balance and generous paid time off

Fulltime

Tech Analyst, Data & AI

Being part of Air Canada is to become part of an iconic Canadian symbol, recentl...

Location

Canada , Dorval

Salary:

Not provided

Air Canada

Expiration Date

Until further notice

Requirements

3-5 years of experience leading enterprise data warehouse development teams
Proven success in Agile environments and cloud-based data platforms, especially Azure and Snowflake
Expertise in building robust, scalable data pipelines for batch and streaming data
Proficiency in SQL, Python, stored procedures, and scheduling tools
Hands-on experience with ETL/ELT tools such as Azure Data Factory (ADF), Databricks, Snowflake, DBT and Talend
Skilled in implementing monitoring and alerting mechanisms for data pipelines
Strong capability in reviewing engineering deliverables for performance, scalability, and maintainability
Experience with prompt engineering and leveraging Generative AI (GenAI) to accelerate development and automate engineering workflows
Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related field
Excellent communication, problem-solving, and analytical skills

Job Responsibility

Design & Implementation: Manage implementation of solutions for exploratory data analysis and conducts implementation assessments based on Architecture Overview Documents (AOD) and Detailed Data Solutions
Provide accurate effort estimations and assess feasibility of proposed architectures and data models
Design, undertake and analyze data to determine patterns and insights that can optimize data ingestion and data presentation
Pipeline Design & Development: Design and develop cost-effective, scalable ELT pipelines using reusable components and frameworks
Support the delivery of AI and data projects by designing and implementing streaming and/or batch pipelines
Design and document pipeline implementation strategies including, scheduling of jobs and workflows, dependencies, error handling, monitoring and alerting and unit testing
Monitor and resolve alerts/failures in prod/non-prod environments to ensure operational reliability
Participate in peer reviews and oversee the review and approval of code and pipelines
Environment Setup & Collaboration: Set up non-production and production environments including MFT flows, RBAC, cloud services, Git repositories, and defining appropriate branching strategies
Design, test, and maintain scalable data architectures, including databases and distributed processing systems

Actuary IV

Located in the U.S., this experienced modeler role performs varied actuarial ser...

Location

United States , Columbus

Salary:

110000.00 - 140000.00 USD / Year

Aflac

Expiration Date

March 07, 2026

Requirements

Bachelor’s Degree in Actuarial Science, Mathematics, Computer Science or a related field
An FSA designation from the SOA (required) and a minimum of 5 years of experience working in the actuarial field or an ASA designation from the SOA (required) and a minimum of 8 years of experience working in the actuarial field
Currently a candidate in or qualified to become a candidate in the Aflac Actuarial Development Program (ASA and recent FSA)
Hands-on modeling experience in ALM modeling and/or capital modeling
Experience with Bermuda (re)insurance regulatory frameworks or other jurisdictions that adopt market consistent approach to reserve and capital methodology
Experience with economic capital modeling, stress testing, and cash flow testing as part of solvency and financial condition assessments
Proficient at coding models with at least one or more of the following applications (Excel, SQL, MG-Alfa, Prophet, AXIS)
Strong familiarity with model governance, best practices and ability to implement independent model validation frameworks
Extensive expertise with reserve and capital methodology and working knowledge under market consistent regimes
The ability to adhere to Aflac and Aflac Re policies and procedures

Job Responsibility

Conducts analysis, pricing and risk assessment to estimate financial outcomes in complex actuarial situations
applies knowledge of mathematics, probability, statistics, principles of finance and business to calculations
Works extensively with other departments (eg. product development, financial, compliance, and Japanese colleagues) to complete assignments on schedule
Focuses on automation, streamlining and process enhancement to increase efficiency and adhere to best practices and internal controls
Uses expertise with standard concepts, practices, and procedures and relies on judgment and business acumen where limited experience exists to plan and accomplish goals
Communicates clearly and succinctly the findings of actuarial work to managers, executives, and external parties in an appropriate manner for the benefit of Aflac
Prepare ad-hoc reports requested by internal customers (e.g. Underwriting) as well as external customers (e.g. Insurance Departments)
Develops, enhances, and maintains an interactive asset and liability model
Performs ALM stress testing and scenario analysis
Leads model validation and audit-ready documentation efforts, ensuring compliance with local and internal regulatory requirements that include and not limited to model documentation, model change management and process documentation

What we offer

medical, dental, and vision coverage
prescription drug coverage
health care flexible spending
dependent care flexible spending
Aflac supplemental policies (Accident, Cancer, Critical Illness and Hospital Indemnity offered at no costs to employee)
401(k) plans
annual bonuses
an opportunity to purchase company stock
11 paid holidays
up to 20 days PTO

Fulltime

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Senior Machine Learning Engineer, Computer Vision - Robotics

Scale’s Robotics business unit is dedicated to solving the data bottleneck in Ph...

Location

United States , San Francisco

Salary:

218400.00 - 273000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master’s degree with 4+ years of equivalent professional experience in an applied research setting
5+ years of hands-on experience in algorithm development for 2D/3D computer vision and deep learning
Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax)
Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation
In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles
Building real-time and batch ML systems that analyze structured and unstructured signals
Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements

Job Responsibility

Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds)
Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Advanced techniques for real-time 3D mapping, pose estimation, and environmental modeling from multi-modal sensor inputs (e.g., RGB-D, LiDAR). Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full-body tracking under various lighting and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high-performance deep learning models for accurate detection and persistent tracking of objects and people in video streams. Video Processing: Creating algorithms for temporal feature extraction, video-based action recognition, and motion analysis
Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large-scale cloud infrastructure
Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross-functional teams
Publication & IP: Maintain state-of-the-art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research
Cross-Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
may be eligible for additional benefits such as a commuter stipend

Fulltime

Global HEOR Economic Modelling Senior Associate

The Global HEOR Economic Modeling Senior Associate plays a critical role in supp...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in health economics, econometry, statistics, biostatistics, mathematics, operations research, engineering or a related field
+3 years of relevant experience in economic modeling in the pharmaceutical, biotech or consulting setting for Master’s degree and +5 years for Bachelor’s degree
Hands-on experience in developing cost-effectiveness, budget impact models, as well as NMA/MAIC
Experience supporting HTA submissions or payer evidence generation
Proficiency with modeling and statistical tools such as Excel, R, SAS, or STATA
Excellent English oral and written communication, with ability to tailor content to different stakeholders
Strong quantitative and analytical skills with attention to detail
Strong project management and time-management abilities
Innovative use of artificial intelligence to boost efficiency
Effective cross-functional collaboration and interpersonal skills

Job Responsibility

Design and develop hands on global core health economic models for products at all stages of development and launch, using cost-effectiveness/cost-utility (e.g., markov, partitioned survival model), cost minimization, budget impact, and other techniques, as appropriate
Program models in software such as Excel, R, or Python, ensuring accurate integration of clinical, real-world data, epidemiological, and economic inputs
Conduct statistical analyses of clinical trial and real-world data to generate inputs including treatment effects, survival extrapolations, resource use, and health utility estimates
Design and conduct advanced evidence synthesis, including network meta-analyses (NMA) and matching-adjusted indirect comparisons (MAIC), to inform comparative effectiveness
Implement various types of scenario and sensitivity analyses such as univariate, multivariate, and probabilistic analyses to test model robustness
Deliverables will include the model structure, programmed model, technical report, user's guide, and presentation files and publications
Work closely with team lead and HEOR Product Leads to ensure economic models follow product strategy
Monitor and integrate evolving HTA guidelines, payer requirements, and methodological advancements
Interpret complex economic findings to technical and non-technical audiences

Senior Cost Analyst/Estimator

Tecolote is seeking a Cost Analyst to utilize their skills in cost estimating/an...

Location

United States , El Segundo

Salary:

100000.00 - 120000.00 USD / Year

Tecolote Research

Expiration Date

Until further notice

Requirements

US Citizenship Required
Active TS/SCI clearance required
10+ years of cost estimating and analysis experiences supporting DoD, National Reconnaissance Office (NRO), Intelligence Agency, National Aeronautics and Space Administration (NASA), or National Oceanic and Atmospheric Administration (NOAA) customers
Bachelor’s degree required, preferably in engineering, mathematics, statistics, the sciences, economics or business
Experience using MS Excel required
Must possess strong verbal and written communication skills
Extensive knowledge of the DoD acquisition process, experience developing hardware and software cost estimating relationships and cost methodologies, building cost models, applying inflation, exploring phasing approaches, collecting and normalizing data, performing detailed risk & uncertainty analysis and documenting all results
Must possess technical familiarity with program(s) they are supporting
Experience leading independent cost estimates and reviews
Familiarity with the DoD PPBE budget process is a must

Job Responsibility

Plan and develop cost estimates, perform risk analyses and generate all required/associated documentation
Work with program managers, team leads and other technical staff to develop program descriptions, strategies and acquisition documents
Observe and report useful, data-driven insights and make recommendations to Government customers
Analyze hardware/software contractor’s: Cost/schedule/technical data and/or estimates and generate independent projections
Cost/schedule/technical data and provide evaluations and assessments to our customers and Government leaders
Proposal data (both technical and price) and support Government source selections
Be able to comfortably, confidently and accurately present results to our Government customers (all levels of DoD review)
Support and participate in all hardware/software design reviews, timed program reviews and management reviews
Arm the PM, SML, CFO & PEO with accurate, concise and defendable cost positions

What we offer

Company Paid Major Medical Insurance for employees and family members
Dental Insurance for employees and family members
Vision Insurance for employees (employee-paid for family members)
Group Life Insurance
Accidental Death and Dismemberment Insurance
Travel Accident Insurance
Long-Term Disability
Voluntary Short-Term Disability
Supplemental Life Insurance
Flexible Spending Account (pre-tax deferrals for health care expenses)

Fulltime

Senior Project Engineer – Aerospace Systems

A growing aerospace technology organization is seeking a Senior Project Engineer...

Location

United States , Clearwater, FL

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

7+ years of engineering experience in aerospace product development
Bachelor’s degree in a STEM discipline or equivalent experience
Eligibility to work with export‑controlled technology (U.S. persons only)
Proven experience leading technical teams during new business pursuits and proposal development
Strong communication skills, including technical documentation and customer presentations
Ability to thrive in a fast‑paced, collaborative engineering environment
Experience with aerospace development standards such as MIL‑STD‑810, MIL‑STD‑461, DO‑178, DO‑160, and DO‑254
Background in electronic hardware or firmware development for aerospace or flight‑critical systems
Proficiency with requirements management tools (e.g., DOORS, Reqtify, Requisite Pro)
Familiarity with modern configuration management and issue‑tracking systems

Job Responsibility

Lead the full lifecycle development of aerospace sensing or computing systems, from initial concept through integration, verification, and product release
Drive technical proposal activities, including architecture definition, compliance assessments, cost estimation, and schedule planning
Manage system‑level requirements using industry‑standard tools, ensuring traceability, decomposition, change analysis, and verification planning
Develop and refine requirements for technologies such as: High‑speed digital communication interfaces (e.g., MIL‑STD‑1553, ARINC 429, RS‑485, CAN, Ethernet, USB)
Compact power systems supporting internal electronics and external components
Embedded computing platforms using CPUs, microcontrollers, or DSPs
Control circuitry for electromechanical or thermal subsystems (PID, LQG, etc.)
Dynamic modeling of aerospace sensors and associated system interactions
Mathematical modeling of system performance, including uncertainty analysis
Partner with hardware, software, and test engineering teams to ensure requirements are implementable, testable, and aligned with program objectives

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Mathematics and Modeling Estimating Lead

Boeing

Location:
United States , El Segundo ▼
Los Angeles

Category:
Finance

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 05, 2026

Expiration:
March 13, 2026

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