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Data Science Manager Jobs in Boca Raton, FL (NOW HIRING)

AML Business Data Manager will lead a team of business data analysts that is responsible for ... Helps the organization understand the principles and the math behind the scientist process to drive ...

Data Mining Manager Location: Sunrise, FL Duration: Fulltime Skills : Data mining Salary: 90K ... Work closely with data engineering and data science teams to operationalize insights. * Develop ...

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics * 6+ years of ... with Data Management technologies * 2 years Azure Data Factory one more of the following, Azure ...

... Data Scientist to join a fast-growing game development company in Boca Raton, Florida. The role ... Management and Game Intelligence leads) • Further incorporate data-driven decision-making in ...

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Data Science Manager information

See Boca Raton, FL salary details

$29.4K

$92.2K

$163.2K

How much do data science manager jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data science manager in Boca Raton, FL is $92,187.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $119,100.00 per year, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Boca Raton, FL? The most popular types of Data Science jobs in Boca Raton, FL are:
What job categories do people searching Data Science Manager jobs in Boca Raton, FL look for? The top searched job categories for Data Science Manager jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Data Science Manager jobs? Cities near Boca Raton, FL with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Boca Raton, FL as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $92,187 per year, or $44.3 per hour.
AML Business Data Manager

AML Business Data Manager

Td

Fort Lauderdale, FL

$96K - $155K/yr

Full-time

Posted 18 days ago


Job description

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$96,130 - $155,950 USD

TD 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 Intelligence

Job Description:

This role is not eligible for TD work visa support or sponsorship (e.g., H-1B, F-1 OPT/STEM OPT, TN orother work visa authorizations). Applicants must have authorization to work in the United States without current or future need for TD sponsorship.

AML Business Data Manager will lead a team of business data analysts that is responsible for implementation, enhancement and maintenance of Anti Money Laundering (AML) Transaction Monitoring (TM) platform dedicated for TD Securities business. The candidate is expected to bring strong domain expertise in Securities Compliance, with a clear understanding of core product features and transaction patterns for trading, lending, and funding activities within capital markets environment. A working knowledge of trade lifecycle events and their intersection with AML and Trade Surveillance obligations is critical, along with hands-on familiarity with transaction monitoring platforms such as Actimize (including scenario/rule logic) or equivalent tools. The role requires the ability to translate typology driven requirements into implementable detection logic, partnering closely with Technology, Data, and Modeling teams to drive end-to-end delivery from data sourcing through to model execution and tuning. The required skills for the role include articulating business requirements, challenging technical assumptions, and ensuring that implemented solutions meet intended risk coverage. Additionally, the role demands effective engagement with Audit and Compliance stakeholders to support issue validation, remediation planning, and closure of regulatory or internal audit findings within agreed timelines.

The AML Business Data Manager 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 accountability
  • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
  • Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes
  • Position typically deals with senior/executive management
  • Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
  • Focuses on longer-range planning for functional area (e.g. 12 months or greater)
  • May manage and prioritize multiple projects at a given time

Education & 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 or
  • 5+ year of relevant experience; higher degree education and research tenure can be counted

Preferred Skills:

  • 3+ years exposure to securities and/or markets experience
  • 3+ years of AML Transaction Monitoring Business Analyst
  • Actimize experience

Customer Accountabilities:

  • Works closely with business owners to identify opportunities and serves as an ambassador for data science
  • Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions
  • Uses 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 data
  • Visualizes 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 understanding
  • Collaborates 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 business

Shareholder Accountabilities:

  • Analytical thought leadership and stays current on developments in data mining and the application of data science
  • Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency
  • Educates the organization on approaches, such as testing hypotheses and statistical validation of result
  • Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment
  • Translates up to date information into continuous improvement activities that enhances performance
  • Adheres to enterprise frameworks or methodologies that relate to activities for business area
  • Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities
  • Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations
  • Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist
  • Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues
  • Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements
  • Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts
  • Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite

Employee/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 interest
  • Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit
  • Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques
  • Participates in personal performance management and development activities, including cross training within own team
  • Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities
  • Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices
  • Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships
  • Contributes to a fair, positive and equitable environment that supports a diverse workforce
  • Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally

Physical Requirements:

Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%

  • Domestic Travel - Occasional
  • International Travel - Never
  • Performing sedentary work - Continuous
  • Performing multiple tasks - Continuous
  • Operating standard office equipment - Continuous
  • Responding quickly to sounds - Occasional
  • Sitting - Continuous
  • Standing - Occasional
  • Walking - Occasional
  • Moving safely in confined spaces - Occasional
  • Lifting/Carrying (under 25 lbs.) - Occasional
  • Lifting/Carrying (over 25 lbs.) - Never
  • Squatting - Occasional
  • Bending - Occasional
  • Kneeling - Never
  • Crawling - Never
  • Climbing - Never
  • Reaching overhead - Never
  • Reaching forward - Occasional
  • Pushing - Never
  • Pulling - Never
  • Twisting - Never
  • Concentrating for long periods of time - Continuous
  • Applying common sense to deal with problems involving standardized situations - Continuous
  • Reading, writing and comprehending instructions - Continuous
  • Adding, subtracting, multiplying and dividing - Continuous

The 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.

Who 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 Package


Our 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 more

Additional 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 Development

If 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 & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
Interview Process
We'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.

Accommodation

TD 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.