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Data Scientist 3 Jobs (NOW HIRING)

Data Scientist III

Charlotte, NC · On-site

$96 - $156/hr

The Ideal CandidateThe Data Scientist III within the Fair and Responsible Banking 2LOD Complaints Team at TD will help to build the next generation of complaint intelligence and reporting ...

Data Scientist III

Portland, ME · On-site

$96K - $155K/yr

The Ideal Candidate The Data Scientist III within the Fair and Responsible Banking 2LOD Complaints Team at TD will help to build the next generation of complaint intelligence and reporting ...

The Level 3 Data Scientist shall possess the following capabilities: * Employ must have some combination (2 or more) of the following skill areas: * Foundations: Mathematical, Computational ...

A Data Scientist III is a proficient, fully independent scientist who owns medium-to-large data science projects end-to-end from problem formulation and research through to deploying and maintaining ...

The Level 3 Data Scientist shall possess the following capabilities: * Employ must have some combination (2 or more) of the following skill areas: * Foundations: Mathematical, Computational ...

Data Scientist III

New York, NY · On-site

$96K - $155K/yr

The Ideal Candidate The Data Scientist III within the Fair and Responsible Banking 2LOD Complaints Team at TD will help to build the next generation of complaint intelligence and reporting ...

Data Scientist III

Ridgefield, CT · On-site

$45 - $50/hr

Remote-offsite Hours : 40.0 Overview Leading pharmaceutical company looking for an experienced Data Scientist III. Ideal candidates should have a PhD degree and experience programming experience with ...

$94 - $165/hr

The Data Scientist III is responsible for designing and validating predictive models, machine learning models, and artificial intelligence that inform and improve business processes across the ...

New

Data Scientist III

$94K - $164K/yr

The Data Scientist III is responsible for designing and validating predictive models, machine learning models, and artificial intelligence that inform and improve business processes across the ...

Data Scientist III

Dayton, OH · On-site +1

$94K - $164K/yr

The Data Scientist III is responsible for designing and validating predictive models, machine learning models, and artificial intelligence that inform and improve business processes across the ...

Basic Information Job Name Data Scientist III - USA Country United States State NA Date Published 01-Sep-2026 Job ID 47471 Travel You may occasionally be required to travel for business Additional ...

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Data Scientist III independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership. What will you do? Data Scientist ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

The Level 3 Data Scientist shall possess the following capabilities: * Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and curation, data description and ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

The Level 3 Data Scientist shall possess the following capabilities: * Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and curation, data description and ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

The Level 3 Data Scientist shall possess the following capabilities: * Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and curation, data description and ...

Showing results 21-40

Data Scientist 3 information

See salary details

$37.5K

$122.7K

$196.5K

How much do data scientist 3 jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data scientist 3 in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Data Scientist 3?

A Data Scientist 3 is a mid- to senior-level data science professional responsible for analyzing complex datasets, building predictive models, and generating actionable insights to drive business decisions. They often lead projects, mentor junior team members, and collaborate with stakeholders to understand challenges and deliver data-driven solutions. Data Scientist 3 roles typically require strong skills in programming, statistics, and machine learning, along with several years of experience in the field.

What are the key skills and qualifications needed to thrive as a Data Scientist 3?

To thrive as a Data Scientist 3, you need advanced expertise in statistical analysis, machine learning, and programming (typically Python or R), supported by a relevant degree such as in computer science, mathematics, or a related field. Proficiency with data visualization tools (like Tableau), big data platforms (such as Spark or Hadoop), and cloud services (AWS, Azure) is commonly required, as are certifications in data science or analytics. Exceptional problem-solving, communication, and collaboration skills help you translate complex data insights for stakeholders and drive project success. These competencies are essential for extracting actionable insights from data, supporting strategic decision-making, and leading data science initiatives within an organization.

How does a Data Scientist 3 typically collaborate with cross-functional teams on large-scale projects?

As a Data Scientist 3, you’ll often work closely with product managers, engineers, analysts, and business stakeholders to define project goals, gather requirements, and ensure data solutions align with business objectives. You may be responsible for leading data-driven initiatives, mentoring junior team members, and communicating complex findings in accessible ways. Collaboration often involves regular meetings, code reviews, and joint problem-solving sessions, making strong communication and teamwork skills essential for success in this role.

What other jobs can a data scientist do?

A data scientist can transition into roles such as data analyst, machine learning engineer, data engineer, business intelligence analyst, or research scientist. These roles often require strong skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.
More about Data Scientist 3 jobs

What cities are hiring for Data Scientist 3 jobs?

Cities with the most Data Scientist 3 job openings:

What states have the most Data Scientist 3 jobs?

States with the most job openings for Data Scientist 3 jobs include:

Infographic showing various Data Scientist 3 job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist III

TD

Charlotte, NC • On-site

$96 - $156/hr

Other

Posted 9 days ago


Job description

Work Location:Charlotte, North Carolina, United States of AmericaHours:40Pay Details:$96,130 - $155,950 USDTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.Line of Business:Analytics, Insights, & Artificial IntelligenceJob Description:At TD Bank US Compliance, we're on a mission to build a more resilient and scalable compliance risk management function. As part of our team, you'll play a key role in reshaping compliance structures and processes, driving innovation at every level. Here, each team member has a chance to make a tangible impact – both in day-to-day operations and in the design of a future-focused compliance program. This not just about implementing a new program – it's about creating a culture of compliance that will cascade throughout the organization.The Ideal CandidateThe Data Scientist III within the Fair and Responsible Banking 2LOD Complaints Team at TD will help to build the next generation of complaint intelligence and reporting capabilities. The ideal candidate will possess strong data science, analytics, visualization, and leading technology skills with a practical understanding of compliance, risk, and data governance. This role will be at the forefront of transforming complex customer complaint data into actionable insights that support US Compliance stakeholders, senior management, and multiple committees across TD. The successful candidate will be comfortable interfacing with a myriad of complaint data stakeholders, translating business needs into scalable complaint data products, tools, and reports, as well as embracing AI enabled capabilities, including Machine Learning, NLP, and LLMs while fostering clear human in the loop controls, transparency, and governance.Key ResponsibilitiesDesign and develop modern complaint intelligence capabilities that transform complaint data into meaningful, action insights to inform compliance, risk mitigation, and identify potential customer harm.Develop and maintain a robust inventory of complaint dashboards, reporting, and analytics products using software tools such as Power BI, Python, SQL, R, Excel, and PowerPoint to deliver decision ready information to TD partners.Apply advanced analytics, machine learning, NLP, and LLM capabilities to identify complaint trends, emerging risks, themes, root causes, and customer impact to inform compliance strategies.Launch new complaint data products and analytical tools from requirements gathering, design, development, testing, implementation, and ongoing maintenance.Provide effective oversight of 1LOD complaint data handling including complaint taxonomy, data methodology, data quality, data completeness, data lineage, controls, and data interpretation.Translate complex analytical findings from complaint data into compelling business narratives, tailoring insights, visualizations, dashboards, and presentations to different audiences.Ensure responsible AI and human in the loop approaches consistent with TD policies, procedures, and governance requirements.The above details are specific to the role which is outlined in the Job Description Summary below. Please review the Desired Skills and Experience section below as you consider this opportunity.Job Description SummaryThe Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material.Depth & Scope:Generally accountable for a significant business management area that typically has enterprise-wide impact or accountabilityEnterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levelsUndertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processesPosition typically deals with senior/executive managementWorks independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and sizeFocuses on longer-range planning for functional area (e.g. 12 months or greater)May manage and prioritize multiple projects at a given timeEducation & Experience:Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or5+ year of relevant experience; higher degree education and research tenure can be countedDesired Skills & Experience:5+ years of experience in Data Science, Advanced Analytics, and Business Intelligence, preferably within banking or financial services.Advanced technical and analytical expertise including Python, R, SQL, machine learning, statistical analysis, NLP, and working with large and complex datasets.Strong business intelligence and data visualization skills with practical experience using Power BI and or Tableau, Excel, and PowerPoint skills to develop executive level dashboards and data summaries.Proven experience applying AI and advanced analytics to unstructured data, including NLP, LLMs, Generative AI, text classification, theme classification, and incorporating best practices for human in the loop accountability.Strong compliance, data governance, data quality, and stakeholder management capabilities.Customer Accountabilities:Works closely with business owners to identify opportunities and serves as an ambassador for data scienceIs familiar with the business context and data infrastructure and can translate business problems to viable data science solutionsUses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big dataVisualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understandingCollaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the businessShareholder Accountabilities:Analytical thought leadership and stays current on developments in data mining and the application of data scienceSolicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiencyEducates the organization on approaches, such as testing hypotheses and statistical validation of resultHelps the organization understand the principles and the math behind the scientist process to drive organizational alignmentTranslates up to date information into continuous improvement activities that enhances performanceAdheres to enterprise frameworks or methodologies that relate to activities for business areaEnsures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business prioritiesParticipates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situationsMonitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities existLeads/facilitates and/or implements action/remediation plans to address performance/risk/governance issuesActively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirementsKeeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impactsMaintains a culture of risk management and control, supported by effectiveprocesses in alignment with risk appetiteEmployee/Team Accountabilities:Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interestProvides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unitKeeps current on emerging trends/developments and grows knowledge of the business, related tools and techniquesParticipates in personal performance management and development activities, including cross training within own teamKeeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activitiesContributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practicesLeads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationshipsContributes to a fair, positive and equitable environment that supports a diverse workforceActs as a brand ambassador for your business area/function and the bank, both internally and/or externallyPhysical Requirements:Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%Domestic Travel – OccasionalInternational Travel – NeverPerforming sedentary work – ContinuousPerforming multiple tasks – ContinuousOperating standard office equipment - ContinuousResponding quickly to sounds – OccasionalSitting – ContinuousStanding – OccasionalWalking – OccasionalMoving safely in confined spaces – OccasionalLifting/Carrying (under 25 lbs.) – OccasionalLifting/Carrying (over 25 lbs.) – NeverSquatting – OccasionalBending – OccasionalKneeling – NeverCrawling – NeverClimbing – NeverReaching overhead – NeverReaching forward – OccasionalPushing – NeverPulling – NeverTwisting – NeverConcentrating for long periods of time – ContinuousApplying common sense to deal with problems involving standardized situations – ContinuousReading, writing and comprehending instructions – ContinuousAdding, subtracting, multiplying and dividing – ContinuousThe above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.#LI-AMCBCorporateWho We Are:TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.Our Total Rewards PackageOur Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn moreAdditional Information:We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.Colleague DevelopmentIf you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.Training & OnboardingWe will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.Interview ProcessWe’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.AccommodationTD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com . Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process. #J-18808-Ljbffr