155 Data Science jobs in North Carolina

Data Science Manager
Do you have a passion for artificial intelligence, machine learning, and data analysis? Do you yearn to have the impact of your work recognized and valued by more than just your development team?
If yes, we have just the role for you.
Recruiting for this role ends on 12/31/2025.
The Work You'll Do
In Deloitte's Audit and Assurance business, we make businesses and markets better. An audit is more than an obligation; it is an opportunity to see further and deeper into businesses. In our role as independent auditors, we enhance trust in the companies we audit, helping a multitrillion dollar capital markets system function with greater confidence. As we aspire to the very highest standards of audit quality, we deliver deeper insights that can help clients become more effective organizations.
You will be joining our collaborative Data Science team which leverages the most advanced technologies in machine learning and artificial intelligence to achieve the Deloitte Audit and Assurance vision of an AI-enabled audit. Your work will span from research to deployment of production-ready AI solutions, and continued development. Some of our current projects focus on generative AI, prompt engineering, LLMs, agentic systems, anomaly detection, clustering, and knowledge graphs.
As a Data Science Manager, you will lead the technical aspects of our Data Science projects and the development of AI and ML solutions. You will collaborate closely with audit subject matter experts, product teams, and software developers to develop use case requirements and bring solutions to production. You will manage Junior and Senior Data Scientists to complete the Data Science objectives that are required to fully develop and deploy production-level ML solutions. This includes performing or guiding research in an independent fashion and interacting closely with key stakeholders with varying levels of machine learning experience.
Specifically, you will be expected to:
+ Lead the application of rigorous data science within your workstream, managing and supervising junior resources through the entire data science development and deployment lifecycle
+ Collaborate with subject matter experts to obtain a deep understanding of the underlying business problem, and to define and refine the corresponding technical solution
+ Design and manage project plans, metrics, and OKRs that align with the group's mission of an AI-enabled audit
+ Identify and communicate risks that emerge in the development lifecycle
+ Stay up to date with the latest trends, techniques, and advancements in data science and identify opportunities for their application
+ Actively mentor Junior and Senior Data Scientists on professional development including regular feedback and staff touchpoints
+ Architect ML pipelines and actively contribute high-quality, production-ready code (readable, well-tested, with well-designed APIs)
+ Communicate complex concepts clearly and effectively through excellent written and verbal communication skills, ensuring alignment among team members and stakeholders
The team Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
QualificationsRequired:
+ Bachelor's degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics or related field)
+ 6+ years of relevant industry experience with design, development, and deployment of machine learning models
+ Experience being the technical lead for multiple project teams simultaneously
+ Expert understanding of the state of the art of two or more fields in artificial intelligence; NLP and generative AI, probabilistic graphical models, time-series analysis, weak supervised learning, etc.
+ Understanding of LLMs, prompt engineering, and use of evaluations in development and validation
+ Previous experience mentoring, training, and developing junior members of the team; experience in employee performance reviews
+ Expert understanding of Python and other common languages
+ Demonstrated ability to lead the design and implementation of machine learning solutions with a focus on maintainability and scalability through the entire development life cycle
+ Extensive experience using common machine learning and deep learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain
+ Extensive experience with at least one cloud-based ecosystem (Azure, GCP, AWS)
+ Experience in an Agile working environment and at least one related project management tool (Azure DevOps, Jira, etc.)
+ Demonstrated ability to write high-quality, production-ready code (readable, well-tested, well-documented, with well-designed APIs)
+ Demonstrated ability to develop novel machine learning methods that go beyond putting together existing open-source code, and to apply problem-solving skills to complex issues
+ Solid understanding of Docker, Jenkins, Kubernetes, and other DevOps tools
+ You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
+ You should expect to co-locate with team members or other colleagues in a Deloitte office, at a client site and/or virtually, based on specific team and business expectations
+ Ability to travel up to 10%, on average, based on the type of work you perform and the clients served
+ Limited immigration sponsorship may be available
Preferred:
+ 10+ years of industry experience leading the design, development, and deployment of machine learning models
+ PhD in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)
+ Prior scientific publication history. Outstanding academic track record as evidenced by top tier publications.
+ Strong project management and delivery experience, including budget oversight and staffing of project teams including time management
+ Extensive experience with Microsoft Azure, including certification in machine learning
+ Experience with machine learning pipelines (Azure ML/Databricks)
+ Experience with ML Ops and related governance processes, particularly within a regulated industry
+ Strong presentation skills using Microsoft Office suite (Visio, PowerPoint, etc.)
+ Understanding of the capital markets, and the role public accounting firms play
The 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.
Information for applicants with a need for accommodation:
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.

Data Science Manager
Do you have a passion for artificial intelligence, machine learning, and data analysis? Do you yearn to have the impact of your work recognized and valued by more than just your development team?
If yes, we have just the role for you.
Recruiting for this role ends on 12/31/2025.
The Work You'll Do
In Deloitte's Audit and Assurance business, we make businesses and markets better. An audit is more than an obligation; it is an opportunity to see further and deeper into businesses. In our role as independent auditors, we enhance trust in the companies we audit, helping a multitrillion dollar capital markets system function with greater confidence. As we aspire to the very highest standards of audit quality, we deliver deeper insights that can help clients become more effective organizations.
You will be joining our collaborative Data Science team which leverages the most advanced technologies in machine learning and artificial intelligence to achieve the Deloitte Audit and Assurance vision of an AI-enabled audit. Your work will span from research to deployment of production-ready AI solutions, and continued development. Some of our current projects focus on generative AI, prompt engineering, LLMs, agentic systems, anomaly detection, clustering, and knowledge graphs.
As a Data Science Manager, you will lead the technical aspects of our Data Science projects and the development of AI and ML solutions. You will collaborate closely with audit subject matter experts, product teams, and software developers to develop use case requirements and bring solutions to production. You will manage Junior and Senior Data Scientists to complete the Data Science objectives that are required to fully develop and deploy production-level ML solutions. This includes performing or guiding research in an independent fashion and interacting closely with key stakeholders with varying levels of machine learning experience.
Specifically, you will be expected to:
+ Lead the application of rigorous data science within your workstream, managing and supervising junior resources through the entire data science development and deployment lifecycle
+ Collaborate with subject matter experts to obtain a deep understanding of the underlying business problem, and to define and refine the corresponding technical solution
+ Design and manage project plans, metrics, and OKRs that align with the group's mission of an AI-enabled audit
+ Identify and communicate risks that emerge in the development lifecycle
+ Stay up to date with the latest trends, techniques, and advancements in data science and identify opportunities for their application
+ Actively mentor Junior and Senior Data Scientists on professional development including regular feedback and staff touchpoints
+ Architect ML pipelines and actively contribute high-quality, production-ready code (readable, well-tested, with well-designed APIs)
+ Communicate complex concepts clearly and effectively through excellent written and verbal communication skills, ensuring alignment among team members and stakeholders
The team Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
QualificationsRequired:
+ Bachelor's degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics or related field)
+ 6+ years of relevant industry experience with design, development, and deployment of machine learning models
+ Experience being the technical lead for multiple project teams simultaneously
+ Expert understanding of the state of the art of two or more fields in artificial intelligence; NLP and generative AI, probabilistic graphical models, time-series analysis, weak supervised learning, etc.
+ Understanding of LLMs, prompt engineering, and use of evaluations in development and validation
+ Previous experience mentoring, training, and developing junior members of the team; experience in employee performance reviews
+ Expert understanding of Python and other common languages
+ Demonstrated ability to lead the design and implementation of machine learning solutions with a focus on maintainability and scalability through the entire development life cycle
+ Extensive experience using common machine learning and deep learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain
+ Extensive experience with at least one cloud-based ecosystem (Azure, GCP, AWS)
+ Experience in an Agile working environment and at least one related project management tool (Azure DevOps, Jira, etc.)
+ Demonstrated ability to write high-quality, production-ready code (readable, well-tested, well-documented, with well-designed APIs)
+ Demonstrated ability to develop novel machine learning methods that go beyond putting together existing open-source code, and to apply problem-solving skills to complex issues
+ Solid understanding of Docker, Jenkins, Kubernetes, and other DevOps tools
+ You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
+ You should expect to co-locate with team members or other colleagues in a Deloitte office, at a client site and/or virtually, based on specific team and business expectations
+ Ability to travel up to 10%, on average, based on the type of work you perform and the clients served
+ Limited immigration sponsorship may be available
Preferred:
+ 10+ years of industry experience leading the design, development, and deployment of machine learning models
+ PhD in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)
+ Prior scientific publication history. Outstanding academic track record as evidenced by top tier publications.
+ Strong project management and delivery experience, including budget oversight and staffing of project teams including time management
+ Extensive experience with Microsoft Azure, including certification in machine learning
+ Experience with machine learning pipelines (Azure ML/Databricks)
+ Experience with ML Ops and related governance processes, particularly within a regulated industry
+ Strong presentation skills using Microsoft Office suite (Visio, PowerPoint, etc.)
+ Understanding of the capital markets, and the role public accounting firms play
The 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.
Information for applicants with a need for accommodation:
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

Job Description

Company Description

About Sia 

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 

Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. 

Job Description

Sia Partners is looking for a talented Data Scientist to support our activities within the Data Science Business Unit. You will be working alongside our Data Science consultants and our clients on Data Science topics, including data acquisition and exploration, creating relevant data models and presenting results to stakeholders.

You will also contribute to internal Data Science projects hosted on Heka, our internal accelerator for Data Science projects. As part of the global Data Science team you will contribute to the development of various solutions designed to address our clients’ needs.

Key Responsibilities

• Partner with our client’s leadership teams, engineers, program managers and data analysts to understand data needs.
• Identify, acquire, process and explore relevant data sources.
• Analyze large amounts of structured and unstructured information to discover trends and patterns.
• Use your data analytics and science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms.
• Communicate at scale, through multiple mediums: presentations, dashboards, datasets, bots and more.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• Broad range of partners equates to a broad range of projects and deliverables, including Models, algorithms, datasets, measurements, services, tools and process.

Qualifications

• 1+ years’ experience as a Data Scientist or Data Analyst
• Experience with building models, machine-learning, NLP
• 1+ years’ experience in R, SQL and Python
• 1+ years’ experience with data visualization tools (e.g. Tableau, PowerBi, R Shiny)
• Problem-solving aptitude and business acumen
• Excellent communication and presentation skills
• BSc/BA in Data Science, Computer Science, Engineering

Preferred experience: 

• Experience with more than one coding language.
• Experience in data mining
• Good understanding of Machine Learning techniques
• Good understanding of statistical techniques and concepts
• Experience with data visualization tools
• Experience with Object Oriented Programming

Additional Information

Compensation & Benefits 

• Salary + Annual Discretionary Bonus 
• Healthcare coverage that includes 3 medical plan options: Anthem – EPO HSA, EPO HSA MERP, and PPO; dental and vision through MetLife; and life insurance policies through Mutual of Omaha 
• Flexible Spending Account (FSA) 
• Paid Time Off  
• Parental leave paid at 100% of base pay for all new parents   
• 9 Company Holidays + 1 Floating Holiday  
• 401(k) Plan - 4% matching and vested on day 1  
• College save-up plan & college loan repayment plan 
• Monthly cell phone stipend  
• Pre-tax account for Parking and Mass Transit  
• Sia provides several wellness and incentive programs free of charge through the firm medical plan – Anthem - such as:  
  • Gym Reimbursement 
  • LiveHealth Online 
  • Well-being Coach 
  • Building Healthy Families Program  
  • And much more 

Charlotte base compensation is between $81,000 and $102,000 a year. Actual compensation within that range will be dependent upon the individual’s skills, experience, qualifications, and market location.

Diversity, Equity, Inclusion & Belonging 

At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging . We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information.  

Sia is an equal opportunity employer . All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. 

Office Workplace Guidelines  

Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. 

Work Authorization & Sponsorship  

At this time, Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status).  

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. 

Description

Citizens' Enterprise Data & Analytics (ED&A) organization is seeking a Lead Data Scientist with strong analytical and algorithmic skills to optimize interest rates, portfolio outcomes, and acquisition strategies.

In this role, you will:

* Design and build advanced decision support systems that facilitate robust scenario planning for various business decisions, including constrained optimization solutions for deposit interest rates, portfolio outcomes, and acquisition strategies
* Serve as the lead modeler for machine learning models and analytic products, from design phase to development, deployment, and integration into larger business processes
* Develop relationships with other data scientists as well as partners in Finance, Pricing & Profitability, Product, Data, and Technology Services, to collaboratively deliver transformational optimization capabilities
* Invest in developing deep knowledge of business decision frameworks, operational processes, and data in order to successfully design & develop practicable solutions

A successful incumbent will have:

* Master's degree in operations research, computer science, mathematics, statistics, economics, or related quantitative field and 8+ years of experience delivering quantitative decision tools for business applications (or PhD and 5+ years of experience)
* Proven experience turning ambiguous business problems and raw data into rigorous analytic solutions by applying critical thinking and advanced technical & statistical programming techniques
* Proficient in Python with 5+ years of applied experience
* Proficient with one or more optimization modeling package and solver (e.g. CPLEX, SCIP, Pyomo, SciPy)
* A deep understanding of the theory and application of a variety of statistical and machine learning methods and algorithms, including optimization under uncertainty, forecasting, time series analysis, and Bayesian methods
* Excellent communication skills with both technical and non-technical audiences
* Strong leadership and team management skills, including the ability to effectively lead both direct reports and complex, multi-team projects
* Experience with cloud computing platforms (preferably AWS) and ML-related services such as Amazon Sagemaker
* A strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environment
* Commitment to intellectual rigor and observance of compliance and data privacy controls
* A disciplined approach to making decisions and setting expectations
* Experience working with large datasets (greater than 1 million records) and applying techniques to efficiently manage big data
* Experience working with financial datasets (preferred)

Equal Employment Opportunity

It is the policy of Citizens Bank to provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to race, color, ethnicity, religion, gender, pregnancy/childbirth, age, national origin, sexual orientation, gender identity or expression, disability or perceived disability, genetic information, citizenship, veteran or military status, marital or domestic partner status, or any other category protected by federal, state and/or local laws.

#LI-Citizens1

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

Benefits

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more.

View Benefits

Awards We've Received

Age-Friendly Institute's Certified Age-Friendly Employer

Dave Thomas Foundation's Best Adoption-Friendly Workplace

Human Rights Campaign Corporate Equality Index 100 Award

Disability:IN Best Places to Work for Disability Inclusion

Fair360 Top Regional Company

FORTUNE's World's Most Admired Companies

Military Friendly Employer

The Data Science Teaching Librarian designs, develops, and delivers training sessions on data and visualization topics, as part of an open workshop series offered to the university community and/or as course-integrated instruction sessions. They coordinate the DVS open workshop series and/or instruction program, including:

1. creating and documenting procedures;
2. tracking completion of assessment needs;
3. reviewing and assessing offerings;
4. developing outreach strategies.

They conduct outreach to and engage with faculty, campus groups, and external partners to support the universitys data and visualization needs. They provide training on delivering workshop-style instruction to the graduate student assistants and to other members of DVS. They provide consultative support for students, faculty, and researchers on data science and visualization topics. The position deeply considers how their approach to their daily work reflects and advances the Libraries Strategic Plan, creating an environment and community that is welcoming for both patrons and colleagues alike. The position collaborates with colleagues and other university faculty on data-related initiatives and projects, and they contribute to departmental projects and initiatives. The position participates in library planning and serves on library-wide committees, task forces, and teams. Librarians are expected to be active professionally and to contribute to developments in the field. The position reports to the Head, Data & Visualization Services.

This position is based in North Carolina and is eligible for flexible hours with a hybrid work environment. This position will require frequent onsite work.

How to apply

For more information and to apply, please visit: NC State Job Posting.

Metadata

Published: Tuesday, February 18, 2025 15:05 UTC

Last updated: Tuesday, February 18, 2025 15:05 UTC

#J-18808-Ljbffr

Description

Citizens' Enterprise Data & Analytics (ED&A) organization is seeking a Lead Data Scientist with strong analytical and algorithmic skills to optimize interest rates, portfolio outcomes, and acquisition strategies.

In this role, you will:

• Design and build advanced decision support systems that facilitate robust scenario planning for various business decisions, including constrained optimization solutions for deposit interest rates, portfolio outcomes, and acquisition strategies

• Serve as the lead modeler for machine learning models and analytic products, from design phase to development, deployment, and integration into larger business processes

• Develop relationships with other data scientists as well as partners in Finance, Pricing & Profitability, Product, Data, and Technology Services, to collaboratively deliver transformational optimization capabilities

• Invest in developing deep knowledge of business decision frameworks, operational processes, and data in order to successfully design & develop practicable solutions

A successful incumbent will have:

• Master's degree in operations research, computer science, mathematics, statistics, economics, or related quantitative field and 8+ years of experience delivering quantitative decision tools for business applications (or PhD and 5+ years of experience)

• Proven experience turning ambiguous business problems and raw data into rigorous analytic solutions by applying critical thinking and advanced technical & statistical programming techniques

• Proficient in Python with 5+ years of applied experience

• Proficient with one or more optimization modeling package and solver (e.g. CPLEX, SCIP, Pyomo, SciPy)

• A deep understanding of the theory and application of a variety of statistical and machine learning methods and algorithms, including optimization under uncertainty, forecasting, time series analysis, and Bayesian methods

• Excellent communication skills with both technical and non-technical audiences

• Strong leadership and team management skills, including the ability to effectively lead both direct reports and complex, multi-team projects

• Experience with cloud computing platforms (preferably AWS) and ML-related services such as Amazon Sagemaker

• A strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environment

• Commitment to intellectual rigor and observance of compliance and data privacy controls

• A disciplined approach to making decisions and setting expectations

• Experience working with large datasets (greater than 1 million records) and applying techniques to efficiently manage big data

• Experience working with financial datasets (preferred)

#LI-Citizens1

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Why Work for Us

At Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth

Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

09/30/2025

Head of Data Science

About the Company

Innovative AI startup specializing in document redaction solutions

Industry
Information Technology and Services

Type
Privately Held

About the Role

The Company is in search of a Head of Data Science to lead its AI/ML-powered document redaction solutions. The ideal candidate will be a hands-on leader with a strong background in production-grade NLP and PDF processing, particularly in the areas of PII detection and Named Entity Recognition. Experience in a lean environment and the ability to scale a small data science team while actively contributing to the build process are essential. The role involves inheriting one team member and gradually expanding the team, so a collaborative and execution-oriented mindset is a must. Key responsibilities for the Head of Data Science include bringing models to market, continuously optimizing them in real-world settings, and having a strong focus on MLOps. While experience with SageMaker is preferred, it is not required, as the learning curve is considered manageable. The successful candidate will be expected to have a startup mindset, be scrappy, and be comfortable working in production environments. Python fluency is a given, and the ability to work with a small team to deliver high-quality, customer-facing solutions is a critical aspect of the role.

Travel Percent
Less than 10%

Functions

• Data Management/Analytics

Ready to be pushed beyond what you think you're capable of?
At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system.
To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.
Our is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights and drive decisions which directly move the company's bottom line.
We're looking for an experienced manager to lead the Developer data science team, a fast growing area of the business that's not only working on some of the most cutting edge web3 applications, but which is also critical to Coinbase's mission of bringing one billion people onchain. They'll work with their team to devise strategies to help grow the product, support a culture of experimentation, and hold a high bar for rigorous and analytical decision making.
*What you'll be doing (ie. job duties):***
* Manage, mentor and grow a team of data scientists and build solid working partnerships with product teams
* Act as a strategic thought partner to product teams and Coinbase executives; lead the team to execute on data-based analyses to help prioritize product opportunities and provide actionable recommendations
* Standardize best practices for analysis, modeling and experimentation; develop scalable processes to help the team solve pain points and meet goals
* Design communication structure and cadence with team members; synthesize data learnings into compelling stories and communicate them throughout Coinbase
* Act as the business metrics owner for performance management
* Drive data team and organizational level initiatives to scale our insights through better systems and automation
*What we look for in you (ie. job requirements):*
* BA / BS degree business, computer science, statistics, applied mathematics, or any scientific or computational degree
* 5+ years of experience as a hands-on leader of a high-performing data science/analytics team
* 10+ years of experience providing business insights and driving data science initiatives
* Experience in both internal and external storytelling and executive presentations
* Experience overseeing large, complex and cross-functional initiatives
* Expertise with analytics tools, data visualization, SQL, R, or Python as applied to data science and analytics
* Deep knowledge of data models and experimental design and execution
* Excellent ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders
* Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution
* Self-driven and able to create plans for analytics projects and build collaboration within the team
*Nice to haves:*
* Masters or PhD in computer science, statistics, applied mathematics, or any scientific or computational degree
* Experience building causal inference models and overseeing synthetic experimentation
* Domain experience in Fintech product and growth areas
* Experience manipulating large amounts of structured and unstructured data
*Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
Pay Range:
$243,865-$286,900 USD
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Commitment to Equal Opportunity
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the in certain locations, as required by law.
Coinbase is also committed to 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 contact us at accommodations Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available Disclosure
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.
*The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations(at)coinbase.com

**Summary:**
As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Science Manager, Monetization Responsibilities:
1. Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions
2. Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals
3. Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals
4. Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities
5. Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches
6. Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact
7. Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance
8. Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor
9. Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers
**Minimum Qualifications:**
Minimum Qualifications:
10. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
11. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams
12. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
13. Proven track record of leading high-performing analytics teams
14. Experience communicating both in low-level technical details as well as high-level strategies
15. Track-record driving product roadmap and execution
16. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
**Preferred Qualifications:**
Preferred Qualifications:
17. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups
18. A minimum of 2 years of experience working on consumer-facing products
19. 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space
20. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at