4,622 Mckinsey Company jobs in the United States

• Build a digital twin of a defense supply chain to enhance military hardware availability.
• Leverage agentic AI to improve customer service outcomes for a global travel company.
• Optimize the schedule and funding of a multi-billion-dollar capital project to accelerate delivery.

• Translate business questions into analytical approaches and select the right techniques for each problem
• Conduct exploratory data analysis
• Design, implement, and evaluate models-from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you'll build production-grade RAG pipelines and assess LLM output quality / hallucinations
• Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
• Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
• Build models which are accurate, explainable, and free from bias
• Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

• Bachelor's degree in computer science with 2+ years of professional experience OR Masters or PhD a discipline such as computer science, mathematics, statistics or electrical engineering
• Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
• Development experience (focus on machine learning): SQL and Python's data-science stack; proficiency with Spark/PySpark for distributed workloads. We use the right tech for the task and often work within clients' stacks. Technologies you may encounter include Airflow, Databricks, Dask/RAPIDS, containerization with Docker and Kubernetes, and the major clouds (AWS, GCP, Azure, Oracle)
• GenAI experience a plus: parameter-efficient tuning, RAG architectures, vector-store technologies, LLM evaluation
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
• Willingness to travel

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range
is $146,600 - $150,000 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest
(salary/hourly wages) for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details
regarding our global EEO policy and diversity initiatives, please visit our
McKinsey Careers and
Diversity & Inclusion sites.

• Build a digital twin of a defense supply chain to enhance military hardware availability.
• Leverage agentic AI to improve customer service outcomes for a global travel company.
• Optimize the schedule and funding of a multi-billion-dollar capital project to accelerate delivery.

• Translate business questions into analytical approaches and select the right techniques for each problem
• Conduct exploratory data analysis
• Design, implement, and evaluate models-from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you'll build production-grade RAG pipelines and assess LLM output quality / hallucinations
• Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
• Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
• Build models which are accurate, explainable, and free from bias
• Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

• Bachelor's degree in computer science with 2+ years of professional experience OR Masters or PhD a discipline such as computer science, mathematics, statistics or electrical engineering
• Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
• Development experience (focus on machine learning): SQL and Python's data-science stack; proficiency with Spark/PySpark for distributed workloads. We use the right tech for the task and often work within clients' stacks. Technologies you may encounter include Airflow, Databricks, Dask/RAPIDS, containerization with Docker and Kubernetes, and the major clouds (AWS, GCP, Azure, Oracle)
• GenAI experience a plus: parameter-efficient tuning, RAG architectures, vector-store technologies, LLM evaluation
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
• Willingness to travel

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range
is $146,600 - $150,000 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest
(salary/hourly wages) for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details
regarding our global EEO policy and diversity initiatives, please visit our
McKinsey Careers and
Diversity & Inclusion sites.

• Build a digital twin of a defense supply chain to enhance military hardware availability.
• Leverage agentic AI to improve customer service outcomes for a global travel company.
• Optimize the schedule and funding of a multi-billion-dollar capital project to accelerate delivery.

• Translate business questions into analytical approaches and select the right techniques for each problem
• Conduct exploratory data analysis
• Design, implement, and evaluate models-from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you'll build production-grade RAG pipelines and assess LLM output quality / hallucinations
• Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
• Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
• Build models which are accurate, explainable, and free from bias
• Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

• Bachelor's degree in computer science with 2+ years of professional experience OR Masters or PhD a discipline such as computer science, mathematics, statistics or electrical engineering
• Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
• Development experience (focus on machine learning): SQL and Python's data-science stack; proficiency with Spark/PySpark for distributed workloads. We use the right tech for the task and often work within clients' stacks. Technologies you may encounter include Airflow, Databricks, Dask/RAPIDS, containerization with Docker and Kubernetes, and the major clouds (AWS, GCP, Azure, Oracle)
• GenAI experience a plus: parameter-efficient tuning, RAG architectures, vector-store technologies, LLM evaluation
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
• Willingness to travel

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range
is $146,600 - $150,000 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest
(salary/hourly wages) for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details
regarding our global EEO policy and diversity initiatives, please visit our
McKinsey Careers and
Diversity & Inclusion sites.

Title Code:

Temp: Support Assistant

This position is posted to create a pool of candidates. Eligible Candidates will be contacted as positions become available at this school.

JOB SUMMARY
Under the direction of the supervising teacher or administrator, Temporary Support Assistants (TSA) assists teachers with the physical, emotional, behavioral, and instructional needs of students at the Preschool/PreK, elementary and secondary grade levels. Supervision of students throughout the school day, both in the school building and on work sites, includes carrying out instructional tasks, supporting self-care, and collecting data as outlined by professional staff based upon individual student objectives. Employee(s) must be capable of performing any and all of the listed duties individually or independently which may vary based upon their work location/assignment and available staffing.

ESSENTIAL DUTIES/RESPONSIBILITIES

• Participates in routine supervision of students throughout the school day within the school building and/or worksite /community environment; to include assisting on/off bus, lifting, pushing students in equipment and monitors entry and exit of students to assure they get to the correct location.
• Assists students with performing and developing proper social behavior, personal hygiene and self-help skills including, but not limited to, toileting (i.e., changing diapers and soiled clothing), feeding, grooming as assigned by the position throughout the school day and/or while at off-site locations.
• Supports students during instruction and other curriculum tasks, including reinforcing subjects initially introduced by the teacher in one-on-one or small groups, and implements instructional plans and activities as designated by the job coach and/or teacher. Provides reinforcement techniques to keep students focused and on task.
• Observes and manages behavior of students in the classroom, lunch areas, playground, and other learning environments according to approved procedures.
• Observes and gathers data regarding student performance on instructional and behavioral goals and provide data collection to the supervising teacher.
• Supports students with social, emotional, and behavior concerns including the implementation of behavior strategies and supports.
• Follows AACPS policies & procedures while assisting students and staff in the building and off-site work training activities and/or community-based settings.
• Participates in professional development; attends workshops and in-service training for all specialized related care needs, seizures, disruptive behavior, etc. as provided by Board of Education.
• Performs other related duties as assigned within the same classification or lower.

• High School Diploma or Equivalency Certificate required.
• Some College Level Courses in the field of child development with specific applications to the area of special education required.

• None

• Ability to exercise considerable patience and the ability to work with physically, mentally, emotionally, and/or multiple disabilities students.
• Job requires direct in-person provision of service, therefore punctual, regular and predictable attendance is essential.
• Ability to employ a variety of teaching styles to respond to the needs of diverse learners.
• Demonstrated ability to effectively work and communicate with diverse populations.
• Demonstrated proficiency with business technology applications (e.g. Video/Web Conferencing, Microsoft Office Suite -Word, Excel, Outlook, and/or PowerPoint preferred).

• Hold or be eligible for Driver's License (DL) Class C Non-Commercial issued by Maryland or State of Legal Residence (MVA/DMV) required; and
• Daily access to reliable transportation.

• Driving is required to conduct bona fide Board business that is within the scope of employment in this position.
• Personal Vehicle

• N/A

• Standing: under 1/3 percent of the time
• Walking: between 1/3 and 2/3 percent of the time
• Sitting: between 1/3 and 2/3 percent of the time
• Keyboarding: under 1/3 percent of the time
• Talking: between 1/3 and 2/3 percent of the time
• Hearing: between 1/3 and 2/3 percent of the time
• Driving: between 1/3 and 2/3 percent of the time
• As required by the duties and responsibilities of the position.

• No special vision requirements

• Office, school or similar indoor environment: over 2/3 percent of the time

• Moderate: between 1/3 and 2/3 percent of the time

• Up to 50 pounds: between 1/3 and 2/3 percent of the time

• 20% daily day travel within the county to assist at locations (other schools, parks, libraries) as needed.

• Build a digital twin of a defense supply chain to enhance military hardware availability.
• Leverage agentic AI to improve customer service outcomes for a global travel company.
• Optimize the schedule and funding of a multi-billion-dollar capital project to accelerate delivery.

• Translate business questions into analytical approaches and select the right techniques for each problem
• Conduct exploratory data analysis
• Design, implement, and evaluate models-from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you'll build production-grade RAG pipelines and assess LLM output quality / hallucinations
• Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
• Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
• Build models which are accurate, explainable, and free from bias
• Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

• Bachelor's degree in computer science with 2+ years of professional experience OR Masters or PhD a discipline such as computer science, mathematics, statistics or electrical engineering
• Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
• Development experience (focus on machine learning): SQL and Python's data-science stack; proficiency with Spark/PySpark for distributed workloads. We use the right tech for the task and often work within clients' stacks. Technologies you may encounter include Airflow, Databricks, Dask/RAPIDS, containerization with Docker and Kubernetes, and the major clouds (AWS, GCP, Azure, Oracle)
• GenAI experience a plus: parameter-efficient tuning, RAG architectures, vector-store technologies, LLM evaluation
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
• Willingness to travel

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range
is $146,600 - $150,000 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest
(salary/hourly wages) for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details
regarding our global EEO policy and diversity initiatives, please visit our
McKinsey Careers and
Diversity & Inclusion sites.

• Build a digital twin of a defense supply chain to enhance military hardware availability.
• Leverage agentic AI to improve customer service outcomes for a global travel company.
• Optimize the schedule and funding of a multi-billion-dollar capital project to accelerate delivery.

• Translate business questions into analytical approaches and select the right techniques for each problem
• Conduct exploratory data analysis
• Design, implement, and evaluate models-from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you'll build production-grade RAG pipelines and assess LLM output quality / hallucinations
• Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
• Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
• Build models which are accurate, explainable, and free from bias
• Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks
• Additionally, you will contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML.

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

• U.S. Citizenship is required (this role must be able to be staffed on Critical Industries work which includes Defense, Aerospace, Utilities, etc.)
• Bachelor's degree in computer science with 2+ years of professional experience OR Masters or PhD a discipline such as computer science, mathematics, statistics or electrical engineering
• Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
• Development experience (focus on machine learning): SQL and Python's data-science stack; proficiency with Spark/PySpark for distributed workloads. We use the right tech for the task and often work within clients' stacks. Technologies you may encounter include Airflow, Databricks, Dask/RAPIDS, containerization with Docker and Kubernetes, and the major clouds (AWS, GCP, Azure, Oracle)
• GenAI experience a plus: parameter-efficient tuning, RAG architectures, vector-store technologies, LLM evaluation
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
• Willingness to travel

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range
is $146,600 - $150,000 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest
(salary/hourly wages) for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details
regarding our global EEO policy and diversity initiatives, please visit our
McKinsey Careers and
Diversity & Inclusion sites.

• Build a digital twin of a defense supply chain to enhance military hardware availability.
• Leverage agentic AI to improve customer service outcomes for a global travel company.
• Optimize the schedule and funding of a multi-billion-dollar capital project to accelerate delivery.

• Translate business questions into analytical approaches and select the right techniques for each problem
• Conduct exploratory data analysis
• Design, implement, and evaluate models-from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you'll build production-grade RAG pipelines and assess LLM output quality / hallucinations
• Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
• Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
• Build models which are accurate, explainable, and free from bias
• Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks
• Additionally, you will contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML.

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

• U.S. Citizenship is required (this role must be able to be staffed on Critical Industries work which includes Defense, Aerospace, Utilities, etc.)
• Bachelor's degree in computer science with 2+ years of professional experience OR Masters or PhD a discipline such as computer science, mathematics, statistics or electrical engineering
• Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
• Development experience (focus on machine learning): SQL and Python's data-science stack; proficiency with Spark/PySpark for distributed workloads. We use the right tech for the task and often work within clients' stacks. Technologies you may encounter include Airflow, Databricks, Dask/RAPIDS, containerization with Docker and Kubernetes, and the major clouds (AWS, GCP, Azure, Oracle)
• GenAI experience a plus: parameter-efficient tuning, RAG architectures, vector-store technologies, LLM evaluation
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
• Willingness to travel

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range
is $146,600 - $150,000 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest
(salary/hourly wages) for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details
regarding our global EEO policy and diversity initiatives, please visit our
McKinsey Careers and
Diversity & Inclusion sites.

• Build a digital twin of a defense supply chain to enhance military hardware availability.
• Leverage agentic AI to improve customer service outcomes for a global travel company.
• Optimize the schedule and funding of a multi-billion-dollar capital project to accelerate delivery.

• Translate business questions into analytical approaches and select the right techniques for each problem
• Conduct exploratory data analysis
• Design, implement, and evaluate models-from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you'll build production-grade RAG pipelines and assess LLM output quality / hallucinations
• Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
• Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
• Build models which are accurate, explainable, and free from bias
• Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks
• Additionally, you will contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML.

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

• U.S. Citizenship is required (this role must be able to be staffed on Critical Industries work which includes Defense, Aerospace, Utilities, etc.)
• Bachelor's degree in computer science with 2+ years of professional experience OR Masters or PhD a discipline such as computer science, mathematics, statistics or electrical engineering
• Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
• Development experience (focus on machine learning): SQL and Python's data-science stack; proficiency with Spark/PySpark for distributed workloads. We use the right tech for the task and often work within clients' stacks. Technologies you may encounter include Airflow, Databricks, Dask/RAPIDS, containerization with Docker and Kubernetes, and the major clouds (AWS, GCP, Azure, Oracle)
• GenAI experience a plus: parameter-efficient tuning, RAG architectures, vector-store technologies, LLM evaluation
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
• Willingness to travel

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range
is $146,600 - $150,000 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest
(salary/hourly wages) for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details
regarding our global EEO policy and diversity initiatives, please visit our
McKinsey Careers and
Diversity & Inclusion sites.

• Build a digital twin of a defense supply chain to enhance military hardware availability.
• Leverage agentic AI to improve customer service outcomes for a global travel company.
• Optimize the schedule and funding of a multi-billion-dollar capital project to accelerate delivery.

• Translate business questions into analytical approaches and select the right techniques for each problem
• Conduct exploratory data analysis
• Design, implement, and evaluate models-from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you'll build production-grade RAG pipelines and assess LLM output quality / hallucinations
• Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
• Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
• Build models which are accurate, explainable, and free from bias
• Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks
• Additionally, you will contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML.

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

• U.S. Citizenship is required (this role must be able to be staffed on Critical Industries work which includes Defense, Aerospace, Utilities, etc.)
• Bachelor's degree in computer science with 2+ years of professional experience OR Masters or PhD a discipline such as computer science, mathematics, statistics or electrical engineering
• Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
• Development experience (focus on machine learning): SQL and Python's data-science stack; proficiency with Spark/PySpark for distributed workloads. We use the right tech for the task and often work within clients' stacks. Technologies you may encounter include Airflow, Databricks, Dask/RAPIDS, containerization with Docker and Kubernetes, and the major clouds (AWS, GCP, Azure, Oracle)
• GenAI experience a plus: parameter-efficient tuning, RAG architectures, vector-store technologies, LLM evaluation
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
• Willingness to travel

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range
is $146,600 - $150,000 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest
(salary/hourly wages) for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details
regarding our global EEO policy and diversity initiatives, please visit our
McKinsey Careers and
Diversity & Inclusion sites.