What Jobs are available for Artificial Intelligence in Chicago?

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.

Sr. Information Security Officer - Generative Artificial Intelligence
Chicago, Illinois;Jersey City, New Jersey; Charlotte, North Carolina; Denver, Colorado
**To proceed with your application, you must be at least 18 years of age.**
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**To proceed with your application, you must be at least 18 years of age.**
Acknowledge ( Description:**
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Sr. Information Security Officer - Gen AI will be a member of the Business Information Security Office (BISO) residing within the Global Information Security (GIS) organization. In this role you will work closely with the line of business, their Chief Operating Officer (COO) and supporting technology teams from the Chief Information Officer (CIO)/Chief Technology Officer (CTO). This job is responsible for partnering with senior leaders to balance the needs of the business while ensuring information security risk are appropriately identified and managed to mitigate risk to the organization and drive uncompromising cyber security protection. The role will also support a group/team to develop a deep understanding of the business to lead specialized information security risk-based discussions. This relationship will ensure a focus on the right risk priorities and enable you to provide guidance on information security topics, policies, and controls.
Job expectations include acting as an integrated business partner with cross-functional senior leaders to provide blended security and business expertise to ensure appropriate business management of information security risks. This position will be integral to activities establishing and maintaining a strong security posture with respect to Generative Artificial Intelligence (AI) applications and workloads both internal and external to Bank of America.
**Key Responsibilities in order of criticality:**
- Leads cybersecurity risk assessments of Generative AI use cases, including assessment of the inherent risk and control effectiveness
- Guides business leaders and technology organizations on initiatives requiring Global Information Security engagement and/or manage problem resolution on cyber security related issues
- Serves as a common risk control partner to identify emerging security risks in the portfolio
- Drives adherence and appropriate risk tolerance levels, operating in accordance with the information security policies defined to protect against threats to data confidentiality, integrity, and availability
- Promotes awareness of current and emerging cybersecurity threats and advise on potential information security exposure
- Facilitates risk reviews across logical and physical boundaries to identify gaps and recommend secure designs
- Interprets the information security requirements outlined in policy, standards and procedures as well as reinforces requirements through education and awareness
- Leads as a "security ambassador" to help business leaders drive strategic and innovative risk mitigation priorities and navigate the Global Information Security organization
**Required Qualifications:**
- 8+ years of experience in cybersecurity, with at least 2 years focused on cyber assessment of Artificial Intelligence or Machine Learning systems
- A deep understanding of Generative AI/Large Language Models and assessment frameworks including MITRE ATLAS, OWASP Top 10 for LLM and GenAI, and NIST AI RMF
- In-depth knowledge of cybersecurity threats, controls and technologies, with a deep understanding/experience with software developer experiences to bridge the gap between the theoretical and practical application
- Ability to apply knowledge of internal and external information vulnerabilities to evaluate the degree of threat to an information system and answer tactical questions about current operations, predict future behavior or recommend appropriate mitigation countermeasures
- Ability to manage and design controls that may contribute to a remediation plan developed to address policy, technology, environmental, and/or operational gaps
- Ability to bring multiple stakeholders together, including senior business and technology leaders, and cut to the heart of issues to reach consensus
- Ability to decompose complex issues and drive timely decisions, knowing when to engage others for additional input, and when to act independently
- Bias for action and a commitment to build partnerships in a dynamic risk & threat driven environment
- Strong interpersonal skills; ability to make effective presentations and communicate technical concepts to non-technical parties
- Ability to identify, measure, monitor, and control risk as part of daily business activities, with a focus on specific risk types (e.g., Strategic, Credit, Market, Liquidity, Operational, Compliance, Reputational)
- Ability to design, architect, analyze, support, and secure cloud-based workloads
- Excellent communication, influencing and facilitation skills
**Shift:**
1st shift (United States of America)
**Hours Per Week:**
40
Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.
To view the "Know your Rights" poster, CLICK HERE ( .
View the LA County Fair Chance Ordinance ( .
Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy ("Policy") establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank's required accommodation request process before your first day of work.
This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

Deloitte is a leader in GenAI products and solutions. We are looking for a highly skilled and experienced Manager to drive the ground-breaking GenAI products we are creating within Strategic Analytics. The ideal candidate will have a strong background in the design and implementation of GenAI models and agents, as well as an expertise in building and maintaining front-end UIs. Your work will be integral to deliver on some of the most important priorities happening at Deloitte. If you seek a role that focuses on cutting edge technology, delivers solutions for executive leadership, revolutionizes the future of Finance, and prioritizes professional growth, look no further.
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on Oct 15,, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Job Description:
Company Description:
McDonald's is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald's remains one of the world's leading corporations after almost 70 years. Joining McDonald's means thinking big and preparing for a career that can have influence around the world.
At McDonald's, we see every day as a chance to create positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From support of Ronald McDonald House Charities to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet. We also offer a broad range of outstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements.
Job Overview
At McDonald's, data isn't just a tool - it's the secret ingredient behind every menu innovation, pricing strategy, and customer experience. We're looking for a Data Science Manager to lead experimentation and analytics that directly influence how millions of people experience McDonald's around the world. This is your opportunity to bring cutting-edge analytics to one of the world's most iconic brands - and see the tangible impact of your models in over 40,000 restaurants across 100+ countries.
What You'll Do
You'll be at the intersection of data science, strategy, and innovation - designing experiments and insights that move the business forward.
- Lead large-scale test-and-learn initiatives - A/B tests, matched market tests, synthetic controls - that guide global pricing, promotions, and menu strategies.
- Apply advanced causal inference (DiD, panel regression, matching, synthetic control) to measure what truly drives performance and customer behavior.
- Quantify real-world impact - measure incremental lift for new menu items, assess cannibalization, and evaluate long-term brand effects.
- Turn data into strategy - uncover what drives loyalty, frequency, and digital adoption across millions of customers.
- Build tools that scale - create dashboards and analytical products that empower teams across markets to make faster, smarter decisions.
- Mentor a team of analysts, building a culture that blends analytical rigor with curiosity and creativity.
Responsibilities
- Lead the design and execution of test-and-learn experiments, including A/B testing, matched market tests, and synthetic control methods.
- Apply causal inference frameworks (DiD, panel regression, propensity score matching, synthetic control, time series analysis) to quantify the impact of pricing, promotions, product launches, and operational changes.
- Lead the measurement of incremental lift for promotions and new menu items, accounting for cannibalization and long-term effects.
- Work with customer-level data to uncover insights on customer behavior, purchase patterns and loyalty drivers.
- Build analytical tools and dashboards to democratize insights and support faster decision-making.
- Coach and mentor analysts, fostering a culture of analytical excellence and business impact.
Qualifications
- Bachelor's or Master's degree in Data Science, Statistics, Economics, Applied Mathematics, or a related field.
- Relevant 5+ years of experience in applied analytics, preferably in QSR, CPG, or retail.
- Proficiency in Python and SQL, with hands-on experience in statistical modeling and machine learning.
- Demonstrated expertise in causal inference techniques (DiD, fixed effects models, matching methods).
- Experience with A/B testing design, execution, and interpretation.
- Strong business acumen and the ability to translate data into actionable insights for senior leadership.
Preferred Qualifications
- Experience with revenue growth management, pricing analytics, or marketing measurement.
- Experience with using clickstream data to understand digital customer journey.
- Familiarity with data visualization tools (Tableau, Power BI, or similar).
- Understanding of global markets and cultural nuances in consumer behavior.
Compensation
Bonus Eligible: YES
Long - Term Incentive: YES
Benefits Eligible: YES
Salary Range
The expected salary range for this role is $129,800 - $165,490 per year
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors.
Additional Information:
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment. 
Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald's long-term incentive plan.
McDonald's is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald's provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact Reasonable accommodations will be determined on a case-by-case basis.
McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Requsition ID: 958

**Our Mission**
As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.
(*Comscore, Total Visits, March 2025)
**Day to Day**
At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Director of Data Science to define and drive our data science endeavors for Indeed's Marketing organization. The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams.
Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day.
As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers.
**Responsibilities**
+ Define and oversee the data science roadmap, aligning with broader company goals
+ Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Intercementality testing.
+ Manage teams of data scientists and data engineers, nurturing their growth and ensuring delivery of key projects
+ Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization
+ Collaborate with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences
+ Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements
**Skills/Competencies**
+ Bachelor's Degree in Computer Science, Mathematics, Statistics
+ 10+ years of experience in data science, analytics, or a related field with 5+ years in a leadership role overseeing data science teams
+ A deep understanding of machine learning, statistical modeling, and predictive analytics.
+ Experience with LLMs
+ Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale
+ Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with product teams to drive business growth
+ Experience communicating and influencing product, technical, and business direction across all levels of a large organization
**Salary Range Transparency**
US Remote 204,000 - 296,000 USD per year
Austin Metro Area 204,000 - 296,000 USD per year
NYC Metro Area 224,000 - 324,000 USD per year
Seattle Metro Area 237,000 - 343,000 USD per year
San Francisco Bay Area 244,000 - 354,000 USD per year
**Salary Range Disclaimer**
The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.
**Benefits - Health, Work/Life Harmony, & Wellbeing**
We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at Opportunities and Accommodations Statement**
Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an Equal Employment and Affirmative Action employer seeking to create a welcoming and inclusive environment. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other non-merit based or legally protected grounds.
Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To learn more about requesting an accommodation, please visit In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.
For more information about our commitment to equal opportunity/affirmative action, please visit our ESG home page ( & Belonging**
Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.
We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.
Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.
**Indeed's Employee Recruiting Privacy Policy**
Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at , we also want to make you aware of our recruitment specific privacy policy found at .
**Agency Disclaimer**
Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening.
**Reference ID:** **46207**
**The deadline to apply to this position is (11/5/2025). Job postings may be extended at the hiring team's discretion based on applicant volume.**
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Reference ID: 46207

The job profile for this position is Data Science Advisor, which is a Band 4 Contributor Career Track Role with Cigna-Evernorth Services Inc.
Responsibilities-
+ Utilize predictive modeling, segmentation, and machine learning methods to develop technical solutions to increase revenue and margins and provide thought leadership for advanced analytic projects and solutions.
+ Work on projects from inception to delivery.
+ Work with senior leaders and business partners (Technology, Clinical, Operations, etc.) to develop new predictive, forecasting, and natural language processing ("NLP") models.
+ Perform data mining by applying machine learning and supervised learning algorithms.
+ Support advanced analytical and data mining efforts including clustering, segmentation, logistic and multivariate regression, decision trees, neural networks, time-series analysis, sentiment analysis, topic modeling, and Bayesian analysis. Visualize, interpret, report, and communicate data findings in various formats using Tableau and ggplot.
+ Hybrid work schedule.
+ The salary for this position is $123,456.43 per year and this role is eligible for standard company benefits.
Qualifications-
Requires a Bachelor's degree or foreign equivalent in Data Science, Business Analytics, or a closely related field and 3 years of IT experience. Must have experience with: R; SQL; Python; Pyspark; regression; decision trees; support vector machines; random forests; neural networks; Oracle; Teradata; SQL Server; Hadoop; Tableau; and ggplot.
If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.
For this position, we anticipate offering an annual salary of 105,300 - 175,500 USD / yearly, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
We want you to be healthy, balanced, and feel secure. That's why you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group .
**About The Cigna Group**
Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.
_Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws._
_If you require reasonable accommodation in completing the online application process, please email:_ _for support. Do not email_ _for an update on your application or to provide your resume as you will not receive a response._
_The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State._
_Qualified applicants with criminal histories will be considered for employment in a manner_ _consistent with all federal, state and local ordinances._