What Jobs are available for Data Science Teams in the United States?

Please note this role is Hybrid (2 days/week in office)
**Role Overview**
We are seeking a highly analytical and technically proficient ML/AI Engineer to join our ARC team. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI to solve complex financial problems. You will work to develop AI/ML/DS features for enterprise-wide AI products, develop models, optimize strategies, and contribute to the evolution of our AI-powered financial systems.
**What will you do:**
+ Design and develop machine learning models (Supervised, Unsupervised, and Reinforcement Learning), AI (Generative models and agent orchestration) models, and deep learning models (e.g., Neural Networks and autoencoders).
+ Run machine learning tests and experiments.
+ Train and retrain systems to prevent drift and optimize results.
+ Solve complex problems with multi-layered data sets, extend existing ML frameworks (Scikit-Learn, XGBoost, Tensorflow) and AI frameworks (Keras, LangChain).
+ Leverage and develop advanced analytics models (network based, forecasting, rules-based), implement said algorithms, and build tools to apply them.
+ Turn structured, semi-structured and unstructured data into useful information
+ Develop ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.
+ Run tests, perform statistical analysis, and interpret test results.
+ Contribute to shaping the digital foundations: (Hypergraph) Scenario Engine and Network based Methods: graph-based modeling tool that maps relationships between entities and simulates cascading scenarios; Chatbots (i.e., Distribution); Semantic Engine: AI layer that enables meaning-based search as opposed to keyword search.
+ Conduct large-scale analysis of information to discover patterns and trends by combining different models and algorithms.
+ Get insights from data (descriptive, attribution).
+ Perform Topological Data Modeling, Causality, Variable Importance Analysis, Attribution modeling, Regression.
**What you need to succeed:**
+ Master's or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.
+ Experience in model development (ML/ data science, AI/GenAI) within financial services or technology sectors.
+ Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, scikit-learn
+ Strong grasp of artificial intelligence and machine learning frameworks and stacks.
+ Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous.
+ Intellectual curiosity and adaptability to emerging AI and quant finance trends.
+ Strong communication skills to explain complex models to non-technical stakeholders.
+ Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
+ Attention to detail and a rigorous approach to model validation and testing.
**Salary:**
$88,800.00 - $165,600.00
**Pay Type:**
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Us**
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Please note this role is Hybrid (2 days/week in office)
**Role Overview**
We are seeking a highly analytical and technically proficient ML/AI Engineer to join our ARC team. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI to solve complex financial problems. You will work to develop AI/ML/DS features for enterprise-wide AI products, develop models, optimize strategies, and contribute to the evolution of our AI-powered financial systems.
**What will you do:**
+ Design and develop machine learning models (Supervised, Unsupervised, and Reinforcement Learning), AI (Generative models and agent orchestration) models, and deep learning models (e.g., Neural Networks and autoencoders).
+ Run machine learning tests and experiments.
+ Train and retrain systems to prevent drift and optimize results.
+ Solve complex problems with multi-layered data sets, extend existing ML frameworks (Scikit-Learn, XGBoost, Tensorflow) and AI frameworks (Keras, LangChain).
+ Leverage and develop advanced analytics models (network based, forecasting, rules-based), implement said algorithms, and build tools to apply them.
+ Turn structured, semi-structured and unstructured data into useful information
+ Develop ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.
+ Run tests, perform statistical analysis, and interpret test results.
+ Contribute to shaping the digital foundations: (Hypergraph) Scenario Engine and Network based Methods: graph-based modeling tool that maps relationships between entities and simulates cascading scenarios; Chatbots (i.e., Distribution); Semantic Engine: AI layer that enables meaning-based search as opposed to keyword search.
+ Conduct large-scale analysis of information to discover patterns and trends by combining different models and algorithms.
+ Get insights from data (descriptive, attribution).
+ Perform Topological Data Modeling, Causality, Variable Importance Analysis, Attribution modeling, Regression.
**What you need to succeed:**
+ Master's or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.
+ Experience in model development (ML/ data science, AI/GenAI) within financial services or technology sectors.
+ Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, scikit-learn
+ Strong grasp of artificial intelligence and machine learning frameworks and stacks.
+ Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous.
+ Intellectual curiosity and adaptability to emerging AI and quant finance trends.
+ Strong communication skills to explain complex models to non-technical stakeholders.
+ Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
+ Attention to detail and a rigorous approach to model validation and testing.
**Salary:**
$88,800.00 - $165,600.00
**Pay Type:**
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Us**
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

This is a Hybrid role (2 days/week in office)
**Role Overview**
We are seeking a highly analytical and technically proficient Senior ML/AI Engineer to join our ARC team. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI to solve complex financial problems. You will work to develop AI/ML/DS features for enterprise-wide AI products to develop models, optimize strategies, and contribute to the evolution of our AI-powered financial systems.
**What will you do:**
+ Design and develop machine learning models (Supervised, Unsupervised, and Reinforcement Learning), AI (Generative Models and Agent Orchestration) models, and Deep Learning models (e.g., Neural Networks and autoencoders).
+ Run Machine Learning tests and experiments.
+ Train and retrain systems to prevent drift and optimize results.
+ Solve complex problems with multi-layered data sets, extend existing ML frameworks (Scikit-Learn, XGBoost, Tensorflow) and AI frameworks (Keras, LangChain).
+ Leverage and develop advanced analytics models (network based, forecasting, rules-based), implement said algorithms, and build tools to apply them.
+ Turn structured, semi-structured and unstructured data into useful information
+ Lead development of ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.
+ Run tests, perform statistical analysis, and interpret test results
+ Develops prediction systems and machine learning algorithms.
+ Research and evaluate additional technologies and tools for developing innovative data solutions for business stakeholders i.e. What if analysis (forecasting, next-best-step), Domain Adaptation and Transfer forecasting, Temporal Convolutional Networks, long-term short-term, pricing models, Autoregressive Models.
**What you need to succeed:**
+ Master's or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.
+ Leadership experience driving initiatives related to AI/GenAI/ML assets.
+ Experience in model development (ML/ Data Science, AI/GenAI) within financial services or technology sectors.
+ Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, Scikit-learn
+ Strong grasp of Artificial Intelligence and Machine Learning frameworks and stacks.
+ Strong conceptual grasp and applied experience using Hypergraph Scenario Engine and Network based Methods (graph-based modeling tool that maps relationships between entities and simulates cascading scenarios).
+ Exposure to Quant Machine Learning tailored to quantitative finance, driving more accurate forecasting, risk modeling, pricing, and portfolio optimization, Chatbots (i.e., Distribution).
+ Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous
+ Intellectual curiosity and adaptability to emerging AI and quant finance trends.
+ Strong communication skills to explain complex models to non-technical stakeholders.
+ Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
+ Attention to detail and a rigorous approach to model validation and testing.
**Salary:**
$122,400.00 - $228,000.00
**Pay Type:**
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Us**
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

This is a Hybrid role (2 days/week in office)
**Role Overview**
We are seeking a highly analytical and technically proficient Senior ML/AI Engineer to join our ARC team. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI to solve complex financial problems. You will work to develop AI/ML/DS features for enterprise-wide AI products to develop models, optimize strategies, and contribute to the evolution of our AI-powered financial systems.
**What will you do:**
+ Design and develop Machine Learning models (Supervised, Unsupervised, and Reinforcement Learning), AI (Generative models and Agent Orchestration) models, and Deep Learning models (e.g., Neural Networks and autoencoders).
+ Run Machine Learning tests and experiments.
+ Train and retrain systems to prevent drift and optimize results.
+ Solve complex problems with multi-layered data sets, extend existing ML frameworks (Scikit-Learn, XGBoost, Tensorflow) and AI frameworks (Keras, LangChain).
+ Leverage and develop advanced analytics models (network based, forecasting, rules-based), implement said algorithms, and build tools to apply them.
+ Turn structured, semi-structured and unstructured data into useful information
+ Develop ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.
+ Run tests, perform statistical analysis, and interpret test results
+ Establish the main functions of the digital foundations: (Hypergraph) Scenario Engine and Network based Methods: graph-based modeling tool that maps relationships between entities and simulates cascading scenarios
+ Exposure to Quant Machine Learning tailored to quantitative finance, driving more accurate forecasting, risk modeling, pricing, and portfolio optimization; Chatbots (i.e., Distribution)
+ Use analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
+ Provide guidance (scoring, decisioning) in areas such as Multi-Objective optimization, safe RL and decision support, network propagation algorithms, entity resolution, clustering.
**What you need to succeed:**
+ Master's or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.
+ Leadership experience driving initiatives related to AI/GenAI/ML assets
+ Experience in model development (ML/ Data Science, AI/GenAI) within financial services or technology sectors
+ Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, Scikit-learn
+ Strong grasp of Artificial Intelligence and Machine Learning frameworks and stacks.
+ Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous
+ Intellectual curiosity and adaptability to emerging AI and quant finance trends.
+ Strong communication skills to explain complex models to non-technical stakeholders.
+ Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
+ Attention to detail and a rigorous approach to model validation and testing
**Salary:**
$122,400.00 - $228,000.00
**Pay Type:**
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Us**
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
The Vice President of Artificial Intelligence (AI) and Machine Learning (ML) leads the vision and global strategic direction for AI/ML across the enterprise. Drawing on deep experience and strong partnerships with industry experts, business leaders, and technology stakeholders, this role drives measurable business and customer value through the application of AI, GenAI, Agentic AI, and machine learning solutions. The Vice President collaborates across functions to understand complex organizational challenges, reframe problem statements, and design multi-stage, data-driven solutions embedded in software. Success in this role requires the ability to influence decision-making through return-on-investment analysis, compelling data storytelling, and visualization techniques that accelerate adoption and impact.
**_Why Join Us_**
At UPS, we're not just delivering packages-we're delivering innovation at scale. As a Vice President of AI/ML, you'll lead transformative work that touches every corner of our global network. You'll have the opportunity to shape enterprise-wide AI strategy, partner with visionary leaders, and deploy cutting-edge technologies like GenAI and agentic systems. With executive sponsorship, a culture that values experimentation, and a clear mandate to drive measurable business impact, this is your chance to lead with purpose and move our world forward, by delivering what matters.
**RESPONSIBILITIES**
**_Strategy and Leadership_**
+ Leads strategy development and execution of industry-leading AI and GenAI capabilities, processes, organization, systems, and talent development within the Data Science and AI Software Engineering teams.
+ Works with leaders across the enterprise to drive technology transformation to optimize domestic/global go-to-market launch planning strategies through innovative and highly strategic decisions and investments in AI/ML/GenAI/Agentic.
+ Leads a team of Directors who oversee data scientists, ML engineers, and AI product managers across multiple domains. Provides strategic direction, mentorship, and executive sponsorship to ensure alignment with enterprise goals and delivery of high-impact AI/ML/GenAI/Agentic solutions.
+ Develops and oversees the AI vision and adoption among federated analytics/AI departments across the organization and advocates a data-driven culture that rapidly drives business and customer value by leveraging AI/ML/GenAI/Agentic AI techniques.
+ Develops multi-year roadmaps and strategies to meet goals of maturity in data and AI governance, Enterprise and Functional Analytics, and data and AI fluency to support the acceleration and delivery of advanced analytic solutions to meet business needs; drives focus on technology, automation, productivity, and quality of service.
+ Articulates business vision and strategy and mobilizes the workforce to collaboratively reach evolving business objectives through internal and external relationships.
+ Champions technology and funding recommendations to senior management to ensure technology and value are maximized and meet business objectives.
+ Assesses the financial implications and business case for AI/ML/GenAI/Agentic AI investments and helps communicate overarching return on investment, business value drivers, success metrics, etc.
+ Provides thought leadership on AI/ML/GenAI/Agentic AI methods, algorithms/model development, validation, tools, etc.
**_AI/ML Development and Implementation_**
+ Develops Artificial Intelligence/Machine Learning (AI/ML) models and solutions that will provide key insights on our pipeline assets to drive global commercial strategies and create a competitive advantage by making better business decisions derived through strategic AI approaches.
+ Embeds AI in application development leveraging a product-centric approach.
+ Leads the development of cutting-edge methodologies in areas such as predictive and prescriptive modeling, time-series and causal inference, graph ML and network science, natural language processing and LLM fine-tuning, generative and agentic AI systems, and operations research (optimization & simulation).
+ Determines the key competencies, processes, organization, and systems required to build an industry-leading AI/ML/GenAI/Agentic AI capability.
+ Define and track success metrics such as model adoption, business value delivered, and time-to-insight acceleration.
**_Cross-Functional Collaboration_**
+ Partners with functional teams to develop a cross-functional product roadmap for data science, ML, predictive AI, GenAI, Agentic AI.
+ Partners with legal, compliance, and governance teams to ensure responsible AI development, including bias mitigation, explainability, and adherence to UPS's AI guardrails.
+ Interfaces externally with domestic/global areas in the development of the AI/ML/GenAI/Agentic AI strategy and guidelines for insight generation and usage.
+ Communicates verbally and in writing to business customers and senior leadership team with various levels of technical knowledge, educates them about our systems, and shares insights and recommendations that inform business strategies.
+ Develops and participates in the organization's Data and AI Communities of Practice.
**QUALIFICATIONS**
**_Technical Expertise_**
+ Strong understanding of AI algorithms development processes, trade-offs, and limitations.
+ Deep expertise in data science, machine learning, statistical modeling, and AI platform technologies.
+ Extensive experience with modern AI frameworks, AI/XOps tools, and cloud platforms (e.g., AWS, GCP, Azure).
+ Deep understanding of generative and agentic AI technologies.
+ Advanced knowledge of workflow tools, automation systems, and compliance frameworks is a plus.
+ Experience leading and overseeing enterprise advanced analytics projects in production at scale and implementing open-source or vendor products with or without the use of enterprise analytics/AI platforms.
+ Demonstrated ability to effectively advocate strategic direction around technical solutions to data science professionals, data engineering teams, and business audiences.
**_Analytical and Problem-Solving Skills_**
+ Superior analytical skills with high attention to detail and accuracy with the ability to identify AI lifecycle bottlenecks and requirements for platforms and tools.
+ Demonstrated experience driving results with data analytics and problem formulation techniques.
+ Strong business acumen with the ability to align data science initiatives to strategic and operational goals.
**_Project and Product Management_**
+ Experience managing complex projects in a fast-paced business and technology environment.
+ Experience leading/working with product management teams in an agile environment.
+ Experience developing product specs, writing user stories, and identifying and prioritizing competing products to deliver results while making sense of ambiguity.
**_Leadership and Team Management_**
+ Demonstrated ability to lead and develop high-performing teams, fostering a culture of innovation and continuous learning.
+ Strong leadership and team management abilities, with experience in coaching, developing, and inspiring talent.
+ Experience mentoring data and AI scientists in data aggregation, model experimentation, AI techniques, data visualization, and production deployment architecture.
+ Experience developing strong partnerships with engineering and product teams and managing through senior leaders and communicating technical roadmaps to business leaders.
+ Active in external thought leadership
**_Communication and Stakeholder Management_**
+ Excellent communication and stakeholder management skills, with demonstrated success in facilitating cross-functional collaboration.
+ Experience with diplomacy and aligning stakeholders with competing priorities, including senior leaders.
+ Ability to communicate data through a story framework to convey data-driven results to senior leadership and stakeholders with varying technical expertise.
**_Ethical and Compliance_**
+ Experience building and governing ethical AI frameworks and navigating compliance in highly regulated environments.
+ Ability to effectively navigate technology, analytical, legal, and privacy complexities to achieve objectives.
+ Specific experience in implementing Responsible AI frameworks at a people, process, and technology level.
**_Experience and Education_**
+ 15+ years of progressive leadership experience in data science, AI/ML.
+ 10+ years of experience leading large teams, both in direct reporting as well as cross-functional groups.
+ Proven track record of GenAI/Agentic AI production delivery.
+ Master's degree in Data Science, Computer Science, Engineering, Statistics, or related field required; Ph.D. strongly preferred.
**Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
**Other Criteria:**
UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.
**Basic Qualifications:**
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.
**Pay Range:**
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $207,180.00/year to $336,720.00/year. Pay is based on several factors including but not limited to, market location and may vary depending on job-related knowledge, skills, and education/training and a candidate's work experience. Hired applicants are offered annual short-term and/or long-term incentive compensation programs, subject to applicable eligibility requirements. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. The company offers the following benefits for this position, subject to applicable eligibility requirements. Medical/prescription drug coverage, Dental coverage, Vision coverage, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Basic and Supplemental Life Insurance & Accidental Death and Dismemberment, Disability Income Protection Plan, Employee Assistance Program, 401(k) retirement program, Vacation, Paid Holidays and Personal time, Paid Sick and Family and Medical Leave time as required by law, and Discounted Employee Stock Purchase Program.

This is a Hybrid role (2 days/week in office)
**Role Overview**
We are seeking a highly analytical and technically proficient Senior ML/AI Engineer to join our ARC team. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI to solve complex financial problems. You will work to develop AI/ML/DS features for enterprise-wide AI products to develop models, optimize strategies, and contribute to the evolution of our AI-powered financial systems.
**What will you do:**
+ Design and develop machine learning models (Supervised, Unsupervised, and Reinforcement Learning), AI (Generative Models and Agent Orchestration) models, and Deep Learning models (e.g., Neural Networks and autoencoders).
+ Run Machine Learning tests and experiments.
+ Train and retrain systems to prevent drift and optimize results.
+ Solve complex problems with multi-layered data sets, extend existing ML frameworks (Scikit-Learn, XGBoost, Tensorflow) and AI frameworks (Keras, LangChain).
+ Leverage and develop advanced analytics models (network based, forecasting, rules-based), implement said algorithms, and build tools to apply them.
+ Turn structured, semi-structured and unstructured data into useful information
+ Lead development of ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.
+ Run tests, perform statistical analysis, and interpret test results
+ Develops prediction systems and machine learning algorithms.
+ Research and evaluate additional technologies and tools for developing innovative data solutions for business stakeholders i.e. What if analysis (forecasting, next-best-step), Domain Adaptation and Transfer forecasting, Temporal Convolutional Networks, long-term short-term, pricing models, Autoregressive Models.
**What you need to succeed:**
+ Master's or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.
+ Leadership experience driving initiatives related to AI/GenAI/ML assets.
+ Experience in model development (ML/ Data Science, AI/GenAI) within financial services or technology sectors.
+ Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, Scikit-learn
+ Strong grasp of Artificial Intelligence and Machine Learning frameworks and stacks.
+ Strong conceptual grasp and applied experience using Hypergraph Scenario Engine and Network based Methods (graph-based modeling tool that maps relationships between entities and simulates cascading scenarios).
+ Exposure to Quant Machine Learning tailored to quantitative finance, driving more accurate forecasting, risk modeling, pricing, and portfolio optimization, Chatbots (i.e., Distribution).
+ Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous
+ Intellectual curiosity and adaptability to emerging AI and quant finance trends.
+ Strong communication skills to explain complex models to non-technical stakeholders.
+ Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
+ Attention to detail and a rigorous approach to model validation and testing.
**Salary:**
$122,400.00 - $228,000.00
**Pay Type:**
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Us**
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

This is a Hybrid role (2 days/week in office)
**Role Overview**
We are seeking a highly analytical and technically proficient Senior ML/AI Engineer to join our ARC team. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI to solve complex financial problems. You will work to develop AI/ML/DS features for enterprise-wide AI products to develop models, optimize strategies, and contribute to the evolution of our AI-powered financial systems.
**What will you do:**
+ Design and develop Machine Learning models (Supervised, Unsupervised, and Reinforcement Learning), AI (Generative models and Agent Orchestration) models, and Deep Learning models (e.g., Neural Networks and autoencoders).
+ Run Machine Learning tests and experiments.
+ Train and retrain systems to prevent drift and optimize results.
+ Solve complex problems with multi-layered data sets, extend existing ML frameworks (Scikit-Learn, XGBoost, Tensorflow) and AI frameworks (Keras, LangChain).
+ Leverage and develop advanced analytics models (network based, forecasting, rules-based), implement said algorithms, and build tools to apply them.
+ Turn structured, semi-structured and unstructured data into useful information
+ Develop ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.
+ Run tests, perform statistical analysis, and interpret test results
+ Establish the main functions of the digital foundations: (Hypergraph) Scenario Engine and Network based Methods: graph-based modeling tool that maps relationships between entities and simulates cascading scenarios
+ Exposure to Quant Machine Learning tailored to quantitative finance, driving more accurate forecasting, risk modeling, pricing, and portfolio optimization; Chatbots (i.e., Distribution)
+ Use analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
+ Provide guidance (scoring, decisioning) in areas such as Multi-Objective optimization, safe RL and decision support, network propagation algorithms, entity resolution, clustering.
**What you need to succeed:**
+ Master's or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.
+ Leadership experience driving initiatives related to AI/GenAI/ML assets
+ Experience in model development (ML/ Data Science, AI/GenAI) within financial services or technology sectors
+ Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, Scikit-learn
+ Strong grasp of Artificial Intelligence and Machine Learning frameworks and stacks.
+ Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous
+ Intellectual curiosity and adaptability to emerging AI and quant finance trends.
+ Strong communication skills to explain complex models to non-technical stakeholders.
+ Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
+ Attention to detail and a rigorous approach to model validation and testing
**Salary:**
$122,400.00 - $228,000.00
**Pay Type:**
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Us**
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Financial Analyst, Artificial Intelligence/Machine Learning
_corporate_fare_ Google _place_ Sunnyvale, CA, USA
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
**Minimum qualifications:**
+ Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
+ 4 years of experience in financial planning and analysis, and other related functions, or an advanced degree.
+ Experience in an analyst role supporting Financial Analysis, Portfolio Management, Due Diligence, and related functions.
+ Experience using SQL for analysis and modeling.
**Preferred qualifications:**
+ Experience with building data infrastructure (e.g., designing architecture, building data pipelines, implementing scalable monitoring) and implementing reporting solutions.
+ Experience with data center hardware technology and data center capacity planning and budgeting.
+ Experience in developing strategies in a changing environment.
+ Ability to work with data to produce analysis, influencing decision making with numerical analysis and generating insights.
+ Ability to communicate insights to technical management teams and align business leaders on recommendations and decisions.
+ Excellent project management skills.
**About the job**
In this role you will deliver insights to help leaders make decisions on allocating resources effectively. You will also help build alignment across a broad set of stakeholders as we work towards unlocking value for Alphabet.
This role will support Finance, Product, and Technical Program Management teams across all of Google, and will help the mission of Driving Machine Learning (ML) Excellence for Google and the World through as part strategy which is increasing the ease and speed of landing product innovations with ML, delivering scalable ML compute infrastructure, and driving sustained hardware innovation and make it universally accessible and scalable.The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
The US base salary range for this full-time position is $113,000-$162,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Engage with product area finance and other central business partner teams to understand ML capacity demand across Google, and collaborate to ensure alignment on Single Source of Truth (SSOT) datasets for reporting.
+ Perform (compute and financial) analyses and uplevel insights to ensure investment decisions are in line with Google's priorities.
+ Apply SQL knowledge in data aggregation, synthesization and automation to streamline financial analyses.
+ Identify ways to improve the short- and long-term ML allocations process and work cross-functionally to implement changes, while taking into considerations of financial implications; establish monthly/quarter reports on portfolio performance, trends, and Product Area analyses against goals and track the performance of existing Artificial Intelligence/Machine Learning (AI/ML) allocations, identifying any potential issues or areas for rebalancing.
+ Support the automated charge back process for Alphabet.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

**Position Summary**
MAG Aerospace is staffing for a **Artificial Intelligence / Machine Learning Data Engineer.**
This position will lead the development of intelligent systems that transform multi-modal sensor data into actionable intelligence for tactical operations. You'll leverage COTS, FOSS/OSS, and custom development to build or integrate everything from edge computer vision to conversational AI assistants, while managing the data pipelines that feed these systems in the most challenging environments. While you'll have a core expertise in either data engineering or model development, you have a passion for mastering the full stack of AI systems.
US Citizens Only
Former US Defense Contractor / US Gov / US Military Experience Only
This is a Hybrid Position - Remote mainly - but as well on call to come into a MAG office when requested
We are seeking candidates who live in proximity to our corporate HQ in Fairfax, VA primarily but will entertain persons living near our satellite offices in:
Aberdeen, MD - Titusville, FL - Newport News, VA - Carthage NC
**Essential Duties and Responsibilities**
**Duties include, but not limited to:**
**Primary Responsibilities:**
+ Develop and optimize data-centric AI solutions such as computer vision pipelines for object detection, tracking, and classification
+ Implement advanced AI capabilities including RAG systems, agentic workflows, and fine-tuned LLMs
+ Design and deploy edge-optimized models using TensorRT, ONNX, and quantization techniques
+ Build data engineering pipelines for ETL, feature engineering, and model training
+ Create analytics dashboards and business intelligence solutions for operational insights
+ Implement multi-modal sensor fusion algorithms (visual, thermal, acoustic, RF)
+ Design and maintain data lakes, warehouses, and real-time streaming architectures
+ Develop conversational AI interfaces using open-source LLMs (Llama, Mistral, etc.)
+ Establish and enforce data quality standards, validation checks, and governance procedures throughout the data lifecycle
+ Develop and implement robust testing and validation strategies for AI/ML models, including performance under degraded data conditions, adversarial testing, and operational scenarios
**Secondary Responsibilities:**
+ Optimize AI workloads for embedded platforms (Jetson, Intel Neural Compute Stick)
+ Implement hardware acceleration using CUDA and TensorRT
+ Profile and optimize memory/power consumption for edge devices
+ Support embedded systems team with AI-specific hardware integration
+ Design distributed inference systems for degraded network conditions
**Requirements**
**Minimum Requirements:**
**Primary Experience / Qualifications:**
+ 5+ years' experience in machine learning, AI, and data engineering
+ Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX)
+ Experience with modern AI paradigms (transformers, diffusion models, neural ODEs)
+ Hands-on experience with LLM deployment and optimization (vLLM, TGI, llama.cpp)
+ Proficiency with data engineering tools (Apache Spark, Airflow, dbt, etc.)
+ Experience with both SQL and NoSQL databases at scale
+ Knowledge of vector databases and embedding systems (Pinecone, Weaviate, pgvector)
+ Experience with computer vision libraries (OpenCV, PIL) and video processing
+ Understanding of MLOps practices and model lifecycle management
**Preferred Qualifications**
+ Experience with military/defense AI applications
+ Knowledge of agentic AI frameworks (LangChain, AutoGPT, CrewAI)
+ Familiarity with federated learning and edge-cloud hybrid architectures
+ Experience with business intelligence tools (Tableau, PowerBI, Grafana)
+ Knowledge of time-series analysis and anomaly detection
+ Experience with knowledge graphs and semantic reasoning
+ Understanding of explainable AI and model interpretability
+ Experience with MLOps platforms and tools (e.g., MLflow, Kubeflow, Weights & Biases)
+ Published research or patents in relevant areas
**Education & Experience:**
+ Bachelor's degree in CS, EE, or related field;
+ Master's preferred
**Clearance:**
+ Must be eligible for Secret security clearance
**Other Qualifications:**
+ Must be a US citizen
**Special Note**
**What Makes You Successful Here**
+ You can build anything from a computer vision pipeline to a conversational AI assistant
+ You treat data engineering as seriously as model development
+ You understand the tradeoffs between cloud-scale and edge deployment
+ You can explain complex AI concepts to operators and executives alike
+ You see AI as a tool for augmenting human decision-making, not replacing it
**Why Join MAG:**
+ Work on meaningful problems that directly impact national security
+ Small, elite team where your contributions matter immediately
+ Access to cutting-edge hardware and technologies
+ Rapid prototyping environment - see your ideas deployed in weeks
+ Direct interaction with end users and field deployments
+ Professional development and conference attendance support
+ Flexible work arrangements with occasional field exercises
+ Opportunity to shape the future of tactical edge computing
**Company Policy**
_MAG Aerospace (MAG) is an Equal Opportunity/Affirmative Action Employer and is committed to Diversity and Inclusion. We encourage diverse candidates to apply to our positions._
_All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status._
_Click below for the "EEO is The Law" and "Pay Transparency Nondiscrimination" supplement posters._
_ Aerospace (MAG) is committed to providing an online application process that is accessible to all, including individuals with a disability, by offering an alternative way to apply for job openings. This alternative method is available for those who cannot otherwise complete the online application due to a disability or need for accommodation._
_MAG provides reasonable accommodation to applicants under the guidance of the Americans with Disabilities Act (ADA), Section 503 of the Rehabilitation Act of 1973, the Vietnam-Era Veterans' Readjustment Assistance Act of 1974, and certain state and/or local laws._
_If you need assistance due to a disability, please contact the MAG Aerospace Recruiting email:_
_or call ._
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**Job Locations** _VA-Fairfax_
**ID** _ _
**Work Region** _CONUS_
**Category** _Information Technology_
**Type** _Regular Full-Time_
**Clearance** _Ability to Obtain Secret_