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Data Science Associate Jobs in Miami, FL (NOW HIRING)

Associate's degree and 2 years of additional experience may be exchanged in lieu of a required ... Preferred Qualifications: * Master's degree or PhD in Data Science, Information Technology ...

In this role, you will own the product roadmap for Pricing Data Science, Machine Learning, and AI-enabled pricing capabilities, partnering closely with Data Science, Data Engineering, Analytics ...

Data Engineer

Doral, FL

$105K - $127K/yr

Bachelor's degree in Computer Science, Data Science, Information Technology, Systems Engineering, or a related technical field. * An Associate's degree with an additional 2 years of experience may be ...

... Associates) and compliance regulations. * Minimum of five (5) years of hands-on experience in software development and Data Science, with a specific focus on predictive modeling and forecasting.

Bachelor's degree in Data Science, Information Management, or a related field, OR five (5) years of ... Azure Data Engineer Associate. Additional Information Working Conditions * Normal office conditions.

Bachelor's degree in Data Science, Information Management, or a related field, OR five (5) years of ... Azure Data Engineer Associate. Additional Information Working Conditions * Normal office conditions.

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Data Science Associate information

See Miami, FL salary details

$55K

$65.1K

$123.4K

How much do data science associate jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data science associate in Miami, FL is $65,075.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $56,900.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Miami, FL? The most popular types of Data Science jobs in Miami, FL are:
What are popular job titles related to Data Science Associate jobs in Miami, FL? For Data Science Associate jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Miami, FL look for? The top searched job categories for Data Science Associate jobs in Miami, FL are:
What cities near Miami, FL are hiring for Data Science Associate jobs? Cities near Miami, FL with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Miami, FL as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 2% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $65,075 per year, or $31.3 per hour.
Data Analyst

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Re-posted 26 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

30th of 209 rated software companies


Job description

Description & Requirements
Shape the future of defense with MANTECH! Join a team dedicated to safeguarding our nation through advanced tech and innovative solutions. Since 1968, we've been a trusted partner to the Department of Defense, delivering cutting-edge projects that make a real impact. Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career forward and be part of something extraordinary. Your journey starts now-protect and innovate with MANTECH!

MANTECH seeks a motivated, career and customer-oriented Data Analyst to join our team in Doral, FL.
 

Responsibilities include but are not limited to:

  • Lead the development and implementation of data strategies and frameworks that drive decision-making and organizational learning across the enterprise.
  • Maintain and enhance the accuracy and reliability of the CMDB by validating hardware models, correcting asset records, and standardizing location entries in alignment with ServiceNow data governance standards.
  • Develop predictive models, conduct simulations, and perform statistical analyses to deliver actionable insights that optimize program performance and support strategic decision-making.
  • Design and develop reports, dashboards, and visualizations that effectively communicate complex data findings to stakeholders at all levels of the organization. Design and manage complex data collection, storage, and retrieval processes, ensuring data quality, integrity, and accessibility for analysis and reporting.
  • Contribute to the development and implementation of data governance policies, ensuring compliance with regulatory requirements and industry best practices. Contribute to the development and rollout of ServiceNow modules. Ability to understand the platform and utilize data for analysis.
  • Conduct comprehensive assessments to track utilization across multiple environments, identifying opportunities for cost reduction and operational efficiency improvements.
  • Collaborate with cross-functional teams to identify data needs, address reporting gaps, and deliver timely, accurate insights that support mission objectives. 

Minimum Qualifications:

  • Bachelor's degree in relevant field and 4 years of overall experience OR a master's degree and 2 years of experience or a PhD.
    • High School Diploma and 4 years of additional experience may be exchanged in lieu of a required bachelor's degree
    • Associate's degree and 2 years of additional experience may be exchanged in lieu of a required bachelor's degree
  • Proficiency in data analysis tools and languages such as SQL, Python, R, or similar.
  • Ability to communicate complex data findings clearly to technical and non-technical stakeholders.
  • Familiarity with IT asset management systems and CMDBs (e.g., ServiceNow) is preferred.

Preferred Qualifications:

  • Master's degree or PhD in Data Science, Information Technology, Cybersecurity, Computer Science, or related field.
  • Demonstrated knowledge of IT service management best practices and their integration with data science initiatives. Experience with Risk Management Framework (RMF) and its application to data security and privacy. Experience with Zero Trust Architecture principles and their implementation in data environments.
  • Relevant certifications in data science or data analytics (e.g., Certified Analytics Professional (CAP), Cloudera Certified Professional Data Scientist (CCP:DS)). ITIL Foundation certificate.
  • Experience at a DoD Combatant Command (e.g., SOUTHCOM, NORTHCOM, CENTCOM, CYBERCOM, INDOPACOM, EUCOM, AFRICOM, STRATCOM, TRANSCOM, SOCOM, SPACECOM) or a component is desired.
     

Clearance Requirements:

  • Must have an active Secret clearance
     

Physical Requirements:

  • The person in this position must be able to remain in a stationary position 50% of the time.
  • Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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