United Airlines
Lead Data Scientist - Machine Learning and Gen AI
United Airlines, Chicago, Illinois, United States, 60290
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Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities
The role of the Lead Data Scientist will collaborate with cross-functional teams that include the Digital Products & Analytics team, DT partners, subject matter experts (SMEs) and business stakeholders to lead the development and deployment of machine learning and Gen AI solutions while staying at the forefront of AI and ML advancements to provide expert consultation on latest ML techniques and technologies. This role offers the opportunity to provide strategic direction and leadership to a team of data scientists and apply advanced analytics and machine learning in a dynamic environment, influencing key business decisions and driving measurable impact across the company
The Data Science team within Digital Products & Analytics specializes in traditional machine learning and cutting-edge AI technologies like generative AI leveraging both structured (tabular) and unstructured data. Our work is centered on projects that enhance financial performance and operational efficiency, improve customer experiences, and support employee engagement.
Solution Development:
Applies knowledge of data science, machine learning, data analysis, data visualization & deep learning techniques to assist in planning, delivering, providing analytical and/or mathematical modeling or streamlined processes for solving complex business problems and providing project updates to key clients / partners / stakeholders
Must have high energy, be self-motivated, and possess a positive attitude
Planning and Execution:
Scope, size and plan DS project roadmaps with clear milestones, metrics and identify potential derailment factors
Drive end-to-end execution from incubation to production
Ability to put definition and structure around problems and projects
Collaboration & Integration:
Collaborate with analytics, technology and business team members, business leaders and Digital Technology partners throughout the project lifecycle to Identify opportunities and align on and deploy ML/AI solutions to solve complex business problems
Develop and manage relationships with teams external to Ai, business leaders at Director/MD levels
Innovation:
Propose and develop innovative solution approaches based on scientific research or empirical studies
Passionate about Machine Learning, Deep Learning & AI; and visionary for how it can be applied, with strong strategic/critical thinking and problem-solving skills to complement
Actively seeks opportunities to innovate by keeping up with the academic & industry research; help facilitate idea generation and share best practices and new findings with others
Communications:
Helps create and deliver presentations for United leadership and external stakeholders
Lead or support status meetings and the frequent communication to key stakeholders at varying levels of United leadership
Ability to communicate complex concepts in a clear, precise, and actionable manner, through written and verbal presentation skills
Must exhibit written and spoken English fluency
Mentorship and Development:
Coaching and mentoring team members on their development as well as for successful delivery of projects; assuring a high level of staff technical skills and knowledge Assist with talent acquisition and facilitates training as needed with reusable content and delivery of training sessions
Qualifications
What's needed to succeed (Minimum Qualifications):
Bachelor's degree in Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics ore related field
4+ years experience in analytics/data science
Proven track record of developing and implementing AI strategies at scale, solving identified business problems and achieving optimization in the product development and ML project lifecycle
Highly proficient in Python, Tensorflow/PyTorch and query languages like SQL/Hive/Pig; with the ability to write high-performance, industry-grade, scalable code, and use of app development tools such as Docker, Django, Git, etc.
Expertise of machine learning algorithms like Classification (binary/multi-class/multi-label), Regression (multi target regression), Clustering (KMeans, DBSCAN, Gaussian Mixture, etc.), Recommender Systems (Collaborative Filtering, Matrix Factorization, FPMC, FISM),
Decision Trees, Random Forest, SVM, Boosting (XGBoost, LightGBM, CatBoost etc.), Computer Vision, NLP techniques (Word2Vec, Topic Modelling)
Deep Learning architectures (Transformers, CNNs, RNNs, GRUs, LSTMs, GANs, etc.)
Proficiency with open-source LLMs and tools such as GPT4, Anthropic Claude, Llama, vector databases, Hugging Face
SaaS LLMs like LangChain, llama index, Azure OpenAI, AWS Bedrock multimodal processing
In-depth knowledge of Finetuning, Prompt Engineering (few-shot, zero-shot, one-shot), developing RAG pipelines and integrating Gen AI models with knowledge retrieval techniques for enhancing and optimizing performance for specific business tasks
AWS Services, including Sagemaker, Redshift, Athena, and S3 & AWS data lake
Experience working with models in production environments
Strong analytical abilities, ability to define relevant measurements/metrics for a given problem
Ability to work effectively with people at all levels in an organization
Excellent written and verbal communication skills
Comfortable interacting with technical and non-technical audiences, including business and tech leadership
Must be legally authorized to work in the United States for any employer without sponsorship
Successful completion of interview required to meet job qualification
Reliable, punctual attendance is an essential function of the position
What will help you propel from the pack (Preferred Qualifications):
Master's degree in Data Science, Business Analytics, Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics
Previous airline business experience and/or knowledge of airline industry data sources
Prior experience leading and developing high performing teams with an emphasis on execution and through-put
Ability to deliver high quality AI solutions in a matrix organization, thinking out of the box and solving hard problems while navigating through ambiguityAI Explainability methods, Adversarial Examples, and evaluation of AI algorithm performance
Thought leadership when evaluating business problems and architecting a cohesive solution
The base pay range for this role is $114,665.00 to $156,310.00.
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.
Come join us to create what's next. Let's define tomorrow, together.
Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities
The role of the Lead Data Scientist will collaborate with cross-functional teams that include the Digital Products & Analytics team, DT partners, subject matter experts (SMEs) and business stakeholders to lead the development and deployment of machine learning and Gen AI solutions while staying at the forefront of AI and ML advancements to provide expert consultation on latest ML techniques and technologies. This role offers the opportunity to provide strategic direction and leadership to a team of data scientists and apply advanced analytics and machine learning in a dynamic environment, influencing key business decisions and driving measurable impact across the company
The Data Science team within Digital Products & Analytics specializes in traditional machine learning and cutting-edge AI technologies like generative AI leveraging both structured (tabular) and unstructured data. Our work is centered on projects that enhance financial performance and operational efficiency, improve customer experiences, and support employee engagement.
Solution Development:
Applies knowledge of data science, machine learning, data analysis, data visualization & deep learning techniques to assist in planning, delivering, providing analytical and/or mathematical modeling or streamlined processes for solving complex business problems and providing project updates to key clients / partners / stakeholders
Must have high energy, be self-motivated, and possess a positive attitude
Planning and Execution:
Scope, size and plan DS project roadmaps with clear milestones, metrics and identify potential derailment factors
Drive end-to-end execution from incubation to production
Ability to put definition and structure around problems and projects
Collaboration & Integration:
Collaborate with analytics, technology and business team members, business leaders and Digital Technology partners throughout the project lifecycle to Identify opportunities and align on and deploy ML/AI solutions to solve complex business problems
Develop and manage relationships with teams external to Ai, business leaders at Director/MD levels
Innovation:
Propose and develop innovative solution approaches based on scientific research or empirical studies
Passionate about Machine Learning, Deep Learning & AI; and visionary for how it can be applied, with strong strategic/critical thinking and problem-solving skills to complement
Actively seeks opportunities to innovate by keeping up with the academic & industry research; help facilitate idea generation and share best practices and new findings with others
Communications:
Helps create and deliver presentations for United leadership and external stakeholders
Lead or support status meetings and the frequent communication to key stakeholders at varying levels of United leadership
Ability to communicate complex concepts in a clear, precise, and actionable manner, through written and verbal presentation skills
Must exhibit written and spoken English fluency
Mentorship and Development:
Coaching and mentoring team members on their development as well as for successful delivery of projects; assuring a high level of staff technical skills and knowledge Assist with talent acquisition and facilitates training as needed with reusable content and delivery of training sessions
Qualifications
What's needed to succeed (Minimum Qualifications):
Bachelor's degree in Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics ore related field
4+ years experience in analytics/data science
Proven track record of developing and implementing AI strategies at scale, solving identified business problems and achieving optimization in the product development and ML project lifecycle
Highly proficient in Python, Tensorflow/PyTorch and query languages like SQL/Hive/Pig; with the ability to write high-performance, industry-grade, scalable code, and use of app development tools such as Docker, Django, Git, etc.
Expertise of machine learning algorithms like Classification (binary/multi-class/multi-label), Regression (multi target regression), Clustering (KMeans, DBSCAN, Gaussian Mixture, etc.), Recommender Systems (Collaborative Filtering, Matrix Factorization, FPMC, FISM),
Decision Trees, Random Forest, SVM, Boosting (XGBoost, LightGBM, CatBoost etc.), Computer Vision, NLP techniques (Word2Vec, Topic Modelling)
Deep Learning architectures (Transformers, CNNs, RNNs, GRUs, LSTMs, GANs, etc.)
Proficiency with open-source LLMs and tools such as GPT4, Anthropic Claude, Llama, vector databases, Hugging Face
SaaS LLMs like LangChain, llama index, Azure OpenAI, AWS Bedrock multimodal processing
In-depth knowledge of Finetuning, Prompt Engineering (few-shot, zero-shot, one-shot), developing RAG pipelines and integrating Gen AI models with knowledge retrieval techniques for enhancing and optimizing performance for specific business tasks
AWS Services, including Sagemaker, Redshift, Athena, and S3 & AWS data lake
Experience working with models in production environments
Strong analytical abilities, ability to define relevant measurements/metrics for a given problem
Ability to work effectively with people at all levels in an organization
Excellent written and verbal communication skills
Comfortable interacting with technical and non-technical audiences, including business and tech leadership
Must be legally authorized to work in the United States for any employer without sponsorship
Successful completion of interview required to meet job qualification
Reliable, punctual attendance is an essential function of the position
What will help you propel from the pack (Preferred Qualifications):
Master's degree in Data Science, Business Analytics, Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics
Previous airline business experience and/or knowledge of airline industry data sources
Prior experience leading and developing high performing teams with an emphasis on execution and through-put
Ability to deliver high quality AI solutions in a matrix organization, thinking out of the box and solving hard problems while navigating through ambiguityAI Explainability methods, Adversarial Examples, and evaluation of AI algorithm performance
Thought leadership when evaluating business problems and architecting a cohesive solution
The base pay range for this role is $114,665.00 to $156,310.00.
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.