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Data Science Engineer Jobs in Florida (NOW HIRING)

Proficiency with one or more programming languages such as Python, R or Java. * Demonstrated experience applying data science methods to real-world data problems. * Proficiency in Agile Development ...

IAT Level 2 certification in accordance with DoD 8570.01. * 5+ years of relevant experience in machine learning, data science, programming, or statistical analysis. * Exceptional knowledge of ...

Proficiency with one or more programming languages such as Python, R or Java. * Demonstrated experience applying data science methods to real-world data problems. * Proficiency in Agile Development ...

Work closely with commercial, supply chain, and engineering teams to build ML solutions that ... Skills / Experience: * 8+ years in data science or Applied ML roles; 3+ years of experience in ...

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Work closely with commercial, supply chain, and engineering teams to build ML solutions that ... Skills / Experience: * 8+ years in data science or Applied ML roles; 3+ years of experience in ...

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

Collaboratewith data scientists, engineers, and product teams tointegrate AI into products * Monitor andimprove model performance, accuracy, and scalability * Stayup-to-date with the latest AI/ML ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Showing results 41-60

Data Science Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do data science engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data science engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

What engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

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

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
What are the most commonly searched types of Data Science Engineer jobs in Florida? The most popular types of Data Science Engineer jobs in Florida are:
What are popular job titles related to Data Science Engineer jobs in Florida? For Data Science Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Florida look for? The top searched job categories for Data Science Engineer jobs in Florida are:
What cities in Florida are hiring for Data Science Engineer jobs? Cities in Florida with the most Data Science Engineer job openings:
Infographic showing various Data Science Engineer job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.
Corporate Vice President, Data Scientist - Advanced Analytics

Corporate Vice President, Data Scientist - Advanced Analytics

New York Life Insurance Co

Tampa, FL • On-site

$130K - $170K/yr

Full-time

Posted 24 days ago


Job description

Location Designation: Hybrid - 3 days per week
Role Overview:
As a Corporate Vice President, Data Scientist on the Advanced Analytics team you will serve as a strategic thought partner to business leaders across New York Life Direct, driving high-impact initiatives through advanced analytics, machine learning, and data-driven decision making. You will operate as a subject matter expert, shaping the direction of data science applications across marketing, underwriting, actuarial, operations, and fraud prevention. In this role, you will lead the design and development of innovative, scalable solutions, proactively identify opportunities to influence business strategy, and help define the future of data science within the organization. You will work across functions to translate complex business challenges into analytical frameworks, guide solution development, and ensure insights are effectively embedded into decision processes to deliver measurable business value.
What You'll Do:
You will partner closely with senior business stakeholders to identify, prioritize, and shape data science initiatives that align with strategic objectives, proactively uncovering opportunities where advanced analytics can drive meaningful business impact. You will lead complex, high-visibility data science projects end to end, from framing ambiguous problems and defining analytical approaches to developing, deploying, and monitoring scalable machine learning models and data products. Leveraging deep expertise in statistical methods, machine learning, and experimentation, you will solve unique and complex problems, often requiring innovative and conceptual thinking beyond existing approaches. You will influence decision-making by communicating insights and recommendations clearly to both technical and non-technical audiences, including senior leadership. In addition, you will collaborate with engineering and technology teams to operationalize solutions, establish best practices, and enhance model lifecycle management. As a senior member of the team, you will mentor other data scientists, elevate technical standards, and contribute to the development of the team's capabilities, while staying at the forefront of emerging trends and identifying ways to apply new techniques to advance business outcomes.
What You'll Bring:
You bring advanced academic training in a quantitative field such as Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related discipline, along with significant experience applying data science in complex business environments. You have deep technical expertise in programming languages such as Python or R, strong proficiency in SQL, and a robust foundation in statistical modeling, machine learning, and experimental design. You are recognized for your ability to independently lead large-scale, ambiguous initiatives and to translate complex data into actionable insights that influence strategic decisions. Your experience includes working with large, real-world datasets and deploying models in production environments, ideally within insurance, financial services, or direct-to-consumer contexts. You are an effective communicator who can influence stakeholders at all levels, and you bring a track record of mentoring others, shaping best practices, and driving continuous improvement. Familiarity with cloud-based platforms (e.g., AWS, SageMaker) and model lifecycle management, along with an interest in emerging areas such as generative AI, will further enable you to succeed in this role.
Required Skills:
• Master's or PhD in quantitative fields such as Data Science, Statistics, Applied Math, Economics, Computer Science, Engineering, or related disciplines
• 5+ years of experience applying data science in a business setting with a Master's (3+ years for PhD graduates)
• Strong programming skills in Python and/or R, plus experience with SQL
• Strong foundation in statistical analysis, machine learning and experimental design
• Experience working with real-world datasets and translating ambiguous business questions into analytical solutions
• Strong communication skills, including the ability to explain technical concepts clearly and influence decisions across a range of audiences
• Ability to work independently, manage multiple priorities, and drive work forward in a collaborative environment
Preferred Skills:
• Experience in insurance, financial services, or direct-to-consumer environments
• Familiarity with cloud-based tools and platforms (e.g., AWS, Sagemaker)
• Understanding of model lifecycle management
• Experience evaluating or applying generative AI in business settings
Pay Transparency
Salary Range: $130,000-$170,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.
Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
Job Requisition ID: 93896
About NY Life Insurance Company
Diversity & Humanity-two values that are deeply rooted in the New York Life culture and have laid the foundation for over 175 years of commitment to our employees, agents, policy owners, and the communities where we live and work. At New York Life you become a valued part of a welcoming, inclusive, and caring culture that has a long-standing legacy in stability and growth. The strength of New York Life revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance, and we want you to be a part of our legacy.
As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities. You will be part of a diverse team guided by our belief to always be there for each other-providing the support and flexibility to grow and reach new heights while making an impact in the lives of others.
You are our future, and we commit to investing in you accordingly.
Visit our Linkedin to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
Required Legal Notices - All Candidates Please Click Here