56 Data Scientists jobs in Miami

**JOB SUMMARY**
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
**KNOWLEDGE, SKILLS & ABILITIES** (Generally, the occupational knowledge and specific technical and professional skills and abilities required to perform the essential duties of this job):
+ Provide leadership on choosing ideal Architecture, evaluating tools and Frameworks, define Standards & Best Practices for implementing scalable business solutions
+ Understand, articulate, interpret, and apply the principles of the defined data and analytics strategy to unique, complex business problems
+ Mentor development teams to build tools for data quality control and repeatable data tasks that will accelerate and automate data management duties.
+ Implement Batch and Real-time data ingestion/extraction processes through ETL, Streaming, API, etc., between diverse source and target systems with structured and unstructured datasets
+ Design and build data solutions with an emphasis on performance, scalability, and high reliability
+ Design analytical data models for self-service BI
+ Contribute to leading and building a team of top-performing data technology professionals
+ Help with project planning and execution
+ Analyze current business practices, processes and procedures and identify opportunities for leveraging Microsoft Azure data & analytics PaaS services.
+ Expert level experience on Azure Big Data Services (like Azure Data Factory, Azure Devops, Azure Storage/ Data Lake, Azure Databricks, etc.)
+ Expert level experience on Hadoop cluster components and services (like HDFS, YARN, ZOOKEEPER, AMBARI/CLOUDERA MANAGER, SENTRY/RANGER, KERBEROS, etc.)
+ Designing and implementing BI solutions to meet business requirements using modern BU tools (Like Power BI, Tableau, etc.)
+ Ability to lead, in solving technical issues while engaged with infrastructure and vendor support teams
**JOB FUNCTION:**
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
**REQUIRED EDUCATION:**
Bachelor's Degree
**REQUIRED EXPERIENCE:**
+ 8 + years of data management experience
+ Previous experience leading projects or teams
+ Experience in building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming
+ Proven experience on Big Data tools such as, Spark, Hive, Impala, Polybase, Phoenix, Presto, Kylin, etc.
+ Experience with integration of data from multiple data sources (using ETL tool such, Talend, etc.)
+ Experience with manipulating large data sets through Big Data processing tools
+ Strong experience on Data Lake, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance
+ Experience with programming language such as, PySpark/ Scala/SQL, etc.
+ Experience implementing Web application and Web Services APIs (REST/SOAP)
**PREFERRED EDUCATION:**
Master's Degree
**PREFERRED EXPERIENCE:**
Experience in the healthcare industry is preferred
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $107,028 - $250,446 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

**Job Summary**
We are seeking a highly skilled and forward-thinking Big Data Engineer to join our healthcare data team. This role encompasses the end-to-end design, development, and management of large-scale data systems tailored for healthcare analytics. The ideal candidate will be responsible for architecting and maintaining robust, scalable, and secure data pipelines that support critical decision-making across the organization. This position requires deep technical expertise in modern Big Data tools, real-time and batch data integration, and a strong understanding of data governance and compliance in healthcare environments.
**Knowledge/Skills/Abilities:**
- Architect and implement scalable, high-performance Big Data solutions that support structured and unstructured data from diverse sources.
- Build and manage batch and real-time data ingestion/extraction pipelines using tools like Kafka, Spark Streaming, and Talend.
- Develop reusable and efficient ETL frameworks using Python/Scala for high-volume data transformation and movement.
- Design and optimize data models to support analytical and operational use cases, including healthcare claims and utilization data.
- Collaborate with cross-functional teams, including data scientists, analysts, and business partners, to translate requirements into robust data products.
- Deploy, monitor, and troubleshoot Hadoop-based infrastructure using tools such as Cloudera Manager, Ambari, and Zookeeper.
- Enforce data quality, security, and compliance standards using tools such as Kerberos, Ranger, and Sentry.
- Implement web services and APIs (REST/SOAP) to enable seamless integration with applications and visualization platforms.
- Contribute to data governance initiatives, including metadata management, lineage tracking, and quality assurance.
**Job Qualifications**
**Required Qualifications**
- Minimum 3 years of hands-on experience in Big Data engineering, data integration, and pipeline development.
- Proficiency in Python, Java, or Scala for data transformation and system scripting.
- Expertise in Big Data tools: Spark, Hive, Impala, Presto, Phoenix, Kylin, and Hadoop (HDFS, YARN).
- Experience building real-time stream-processing systems using Kafka, Storm, or Spark Streaming.
- Strong knowledge of NoSQL databases like HBase and MemSQL, and traditional RDBMS including PostgreSQL, Oracle, and SQL Server.
- Skilled in ETL design and development using tools such as Talend or Informatica.
- Demonstrated experience in deploying and monitoring big data infrastructure with Ambari, Cloudera Manager, and Zookeeper.
- Solid understanding of data warehousing, data validation, data quality checks, metadata management, and governance.
**Preferred Qualifications**
- 5+ years of progressive experience in Big Data engineering or analytics. HEOR (Health Economics and outcomes Research)
- Prior experience working in the healthcare industry with familiarity in clinical, claims, or care management data.
- Experience with cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes).
**Technical Environment**
- Big Data Ecosystem: Hadoop, Spark, Hive, Kafka, Presto, Impala, Phoenix, Kylin, Zookeeper
- Streaming & Messaging: Kafka, Spark Streaming, Storm
- ETL & Integration: Talend, Informatica, Python/Scala-based ETL
- Programming Languages: Python, Java, Scala, SQL
- Databases: HBase, MemSQL, PostgreSQL, Oracle, SQL Server
- Cloud & DevOps: AWS, Azure, Docker, Kubernetes, Git
- Security & Governance: Kerberos, Ranger, Sentry, Metadata Management
- Monitoring Tools: Ambari, Cloudera Manager
- APIs: REST, SOAP
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $77,969 - $171,058 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Job Summary

Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.

Knowledge/Skills/Abilities:

• Convert concepts to technical architecture, design and implementation
• Provide guidance on choosing ideal Architecture, Evaluating tools and Frameworks, define Standards & Best Practices for implementing scalable business solutions
• Implement Batch and Real-time data ingestion/extraction processes through ETL, Streaming, API, etc., between diverse source and target systems with structured and unstructured datasets
• Design and build data solutions with an emphasis on performance, scalability, and high-reliability
• Code, test, and document new or modified data systems to create robust and scalable applications for data analytics
• Build data model for analytics and application layers
• Contribute to leading and building a team of top-performing data technology professionals
• Help with project planning and scheduling
• Expert level experience on Hadoop cluster components and services (like HDFS, YARN, ZOOKEEPER, AMBARI/CLOUDERA MANAGER, SENTRY/RANGER, KERBEROS, etc.)
• Ability to participate and lead, in solving technical issues while engaged with infrastructure and vendor support teams

Job Qualifications:

Required Education:

• Bachelor's Degree

Required Experience:

• 5-7 years of data management experience.
• Experience in building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming.
• Proven experience on Big Data tools such as, Spark, Hive, Impala, Polybase, Phoenix, Presto, Kylin, etc.
• Experience with integration of data from multiple data sources (using ETL tool such, Talend, etc.).
• Experience building solutions with NoSQL databases, such as HBase, Memsql.
• Strong experience on Database technologies, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance.
• Experience with programming language such as, Java/Scala/Python, etc.
• Experience implementing Web application and Web Services APIs (REST/SOAP).

Preferred Education:

• Master's Degree

Preferred Experience:

• 7-10 years of data management experience.
• Experience in the healthcare industry is preferred.

Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $88,453 - $206,981 / ANNUAL Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Job Description

Job Summary

Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.

Knowledge/Skills/Abilities

• Convert concepts to technical architecture, design and implementation

• Provide guidance on choosing ideal Architecture, Evaluating tools and Frameworks, define Standards & Best Practices for implementing scalable business solutions

• Implement Batch and Real-time data ingestion/extraction processes through ETL, Streaming, API, etc., between diverse source and target systems with structured and unstructured datasets

• Design and build data solutions with an emphasis on performance, scalability, and high-reliability

• Code, test, and document new or modified data systems to create robust and scalable applications for data analytics

• Build data model for analytics and application layers

• Contribute to leading and building a team of top-performing data technology professionals

• Help with project planning and scheduling

• Expert level experience on Hadoop cluster components and services (like HDFS, YARN, ZOOKEEPER, AMBARI/CLOUDERA MANAGER, SENTRY/RANGER, KERBEROS, etc.)

• Ability to participate and lead, in solving technical issues while engaged with infrastructure and vendor support teams.

Job Qualifications

Required Education

Bachelor's Degree

Required Experience

• 5-7 years of data management experience.

• Experience in building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming.

• Proven experience on Big Data tools such as, Spark, Hive, Impala, Polybase, Phoenix, Presto, Kylin, etc.

• Experience with integration of data from multiple data sources (using ETL tool such, Talend, etc.).

• Experience building solutions with NoSQL databases, such as HBase, Memsql.

• Strong experience on Database technologies, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance.

• Experience with programming language such as, Java/Scala/Python, etc.

• Experience implementing Web application and Web Services APIs (REST/SOAP).

Preferred Education

Master's Degree

Preferred Experience

• 7-10 years of data management experience.

• Experience in the healthcare industry is preferred.

To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.

Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

Pay Range: $88,453 - $206,981 / ANNUAL

*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

**Job Description**
**Job Summary**
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
**Knowledge/Skills/Abilities**
- Convert concepts to technical architecture, design and implementation
- Provide guidance on choosing ideal Architecture, Evaluating tools and Frameworks, define Standards & Best Practices for implementing scalable business solutions
- Implement Batch and Real-time data ingestion/extraction processes through ETL, Streaming, API, etc., between diverse source and target systems with structured and unstructured datasets
- Design and build data solutions with an emphasis on performance, scalability, and high-reliability
- Code, test, and document new or modified data systems to create robust and scalable applications for data analytics
- Build data model for analytics and application layers
- Contribute to leading and building a team of top-performing data technology professionals
- Help with project planning and scheduling
- Expert level experience on Hadoop cluster components and services (like HDFS, YARN, ZOOKEEPER, AMBARI/CLOUDERA MANAGER, SENTRY/RANGER, KERBEROS, etc.)
- Ability to participate and lead, in solving technical issues while engaged with infrastructure and vendor support teams.
**Job Qualifications**
**Required Education**
Bachelor's Degree
**Required Experience**
- 5-7 years of data management experience.
- Experience in building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming.
- Proven experience on Big Data tools such as, Spark, Hive, Impala, Polybase, Phoenix, Presto, Kylin, etc.
- Experience with integration of data from multiple data sources (using ETL tool such, Talend, etc.).
- Experience building solutions with NoSQL databases, such as HBase, Memsql.
- Strong experience on Database technologies, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance.
- Experience with programming language such as, Java/Scala/Python, etc.
- Experience implementing Web application and Web Services APIs (REST/SOAP).
**Preferred Education**
Master's Degree
**Preferred Experience**
- 7-10 years of data management experience.
- Experience in the healthcare industry is preferred.
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $88,453 - $206,981 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Job Description

Role Summary

As a ML/Research Engineer at Citadel Securities, you will work closely with researchers to design and build the next generation library for deep learning within the firm. You will combine the best available open-source tools with deep internal expertise in modelling and predicting financial markets. Your work will empower 100+ researchers to iterate faster on their agenda and perform experiments that were not possible before.

Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available.

Objectives

• Grow/maintain internal library for deep learning.
• Work with researchers to understand their needs and add new functionality.
• Work with HPC experts to optimize the largest existing workflows and deliver training speed improvements and cost savings.
• Stay up to date with external innovations and tools and make them available for internal use as appropriate.

Skills and Preferred Qualifications

• 2+ years of experience in machine learning and software development.
• Strong engineering skills, including Python, CUDA, C++.
• Experience building distributed deep learning libraries or scaling large distributed deep learning workflows using PyTorch (or similar).

About Citadel Securities

Citadel Securities is the next-generation capital markets firm and a leading global market maker. We provide institutional and retail investors with the liquidity they need to trade a broad array of equity and fixed income products in any market condition. The brightest minds in finance, science and technology use powerful, advanced analytics to solve the market's most critical challenges, turning big ideas into real-world outcomes.

WHO ARE WE?

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

As The Discovery and Conversion Company, our mission is to connect consumers with the world's leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we've built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you'll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

Your Role

As our Principal ML Engineer, you'll be the technical visionary for our personalization and optimization systems. This is an individual contributor role for a deep technical expert who will define our ML architecture, solve our hardest technical challenges, and influence ML strategy across the company.

What You'll Do

• Design company-wide personalization architecture and strategy
• Solve complex technical challenges (cold start, exploration/exploitation, real-time learning)
• Research and implement state-of-the-art ML techniques
• Define standards and patterns used across all ML teams
• Lead cross-functional initiatives spanning multiple quarters
• Mentor senior engineers and review critical technical decisions
• Represent the company in the external ML community

What We're Looking For

• 10+ years building ML systems, with deep personalization expertise
• Recognized expert in ML systems (publications, patents, or industry impact)
• Experience architecting ML platforms serving billions of predictions
• Track record of 0→1 innovation in personalization systems
• Expertise in multiple approaches (deep learning, bandits, causal ML, graph methods)
• Ability to influence without authority and drive consensus
• Exceptional communication skills for technical and executive audiences

Technical Expertise Required:

• Advanced ML architectures at scale
• Real-time ML systems and edge deployment
• Multi-stakeholder marketplace optimization
• Online learning and adaptive systems
• Privacy-preserving personalization

Compensation: $160,000 - $250,000

Total Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost-of-living adjustments.

Want to accelerate your career? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

WHO ARE WE?

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

As The Discovery and Conversion Company, our mission is to connect consumers with the world's leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we've built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you'll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

Your Role

As our Principal ML Engineer, you'll be the technical visionary for our personalization and optimization systems. This is an individual contributor role for a deep technical expert who will define our ML architecture, solve our hardest technical challenges, and influence ML strategy across the company.

What You'll Do

• Design company-wide personalization architecture and strategy
• Solve complex technical challenges (cold start, exploration/exploitation, real-time learning)
• Research and implement state-of-the-art ML techniques
• Define standards and patterns used across all ML teams
• Lead cross-functional initiatives spanning multiple quarters
• Mentor senior engineers and review critical technical decisions
• Represent the company in the external ML community

What We're Looking For

• 10+ years building ML systems, with deep personalization expertise
• Recognized expert in ML systems (publications, patents, or industry impact)
• Experience architecting ML platforms serving billions of predictions
• Track record of 0→1 innovation in personalization systems
• Expertise in multiple approaches (deep learning, bandits, causal ML, graph methods)
• Ability to influence without authority and drive consensus
• Exceptional communication skills for technical and executive audiences

Technical Expertise Required:

• Advanced ML architectures at scale
• Real-time ML systems and edge deployment
• Multi-stakeholder marketplace optimization
• Online learning and adaptive systems
• Privacy-preserving personalization

Compensation: $160,000 - $250,000

Total Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost-of-living adjustments.

Want to accelerate your career? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

WHO ARE WE?

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

As The Discovery and Conversion Company, our mission is to connect consumers with the world's leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we've built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you'll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

YOUR ROLE

You will build systems that drive millions in revenue through intelligent personalization and optimization. You'll develop and deploy models that understand user preferences, optimize content discovery, and personalize experiences at scale. This is a hands-on role where you'll see direct impact on business metrics daily.

What You'll Do

• Build and deploy ML models serving 100M+ predictions daily
• Develop ranking algorithms that balance relevance, diversity, and revenue
• Implement real-time personalization features with <50ms latency requirements
• Run A/B tests and analyze model performance against business KPIs
• Optimize models for production (latency, throughput, cost)
• Collaborate with product teams to identify new personalization opportunities

What We're Looking For

• 5+ years building production ML systems
• Strong experience with ranking algorithms (collaborative filtering, deep learning, learning-to-rank)
• Proficiency in Python and ML frameworks (TensorFlow/PyTorch)
• Experience with distributed computing (Spark, Ray)
• Track record of shipping models that improve business metrics
• BS/MS in Computer Science, Machine Learning, or related field

Compensation: $130,000 - $220,000

Total Compensation

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost-of-living adjustments.

Want to accelerate your career? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.