Remote Duration: 20-40 pre-scheduled hours per week for 8-12 weeks Reveleer is a healthcare data ... Collaborate with engineering, data science, customer success, and other internal teams. Internship ...
3 Reveleer Data Scientist Jobs Hiring Near You
Remote Duration: 20-40 pre-scheduled hours per week for 8-12 weeks Reveleer is a healthcare data ... Collaborate with engineering, data science, customer success, and other internal teams. Internship ...
Software Development Engineer in Test (SDET)
$125K - $160K/yr
Remote About Reveleer Reveleer delivers a unified platform spanning risk adjustment, quality ... Trusted by 80+ customer organizations nationwide, the platform integrates data, analytics, and ...
Software Development Engineer in Test (SDET)
$125K - $160K/yr
Remote About Reveleer Reveleer delivers a unified platform spanning risk adjustment, quality ... Trusted by 80+ customer organizations nationwide, the platform integrates data, analytics, and ...
Sr. Information Security Engineer
$140K - $160K/yr
... data. This position is responsible for designing, implementing, and managing enterprise-grade ... Qualifications Required : • Bachelor's degree in Computer Science, Information Security, or ...
Sr. Information Security Engineer
$140K - $160K/yr
... data. This position is responsible for designing, implementing, and managing enterprise-grade ... Qualifications Required : • Bachelor's degree in Computer Science, Information Security, or ...
Reveleer Jobs Information
What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?
To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.
What are some typical projects Data Scientists work on, and how do they collaborate with other teams?
Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
What are Data Scientists?
Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.
What is the job of a data scientist?
A data scientist analyzes large datasets to extract insights and support decision-making using statistical methods, programming, and data visualization tools. They often work with machine learning models and require skills in programming languages like Python or R, as well as knowledge of databases and data analysis techniques.
What is the difference between Data Scientist vs Data Analyst?
| Aspect | Data Scientist |
|---|---|
| Required Credentials | Degree in Computer Science, Statistics, or related field; often requires advanced degrees |
| Work Environment | Research and development, predictive modeling, machine learning projects |
| Employer & Industry Usage | Tech companies, finance, healthcare, consulting firms |
| Common Search & Comparison | Often compared due to overlapping skills in data analysis and modeling |
Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.
What other companies are hiring for Data Scientist jobs?
What are the most popular jobs at Reveleer?
Job description
Product Management Intern - Prospective Intelligence (PI)
Location: Remote
Duration: 20-40 pre-scheduled hours per week for 8-12 weeks
Reveleer is a healthcare data and analytics company that uses Artificial Intelligence to give health plans across all business lines greater control over their Quality Improvement, Risk Adjustment, and Member Management programs. With one transformative solution, the Reveleer platform enables plans to independently execute and manage every aspect of enrollment, provider outreach and data retrieval, coding, abstraction, reporting, and submissions. Leveraging proprietary technology, robust data sets, and subject matter expertise, Reveleer provides complete record retrieval and review services so health plans can confidently plan and execute risk, quality, and member management programs to deliver more value and improved outcomes.
Role Overview:
The Product Management Intern - Prospective Intelligence (PI) will support the Product team by conducting market research, analyzing product performance, improving documentation, and contributing to product development workflows. This internship is ideal for a student with strong analytical skills, an interest in healthcare technology and AI/ML, and a desire to learn how product strategy and execution come together in a fast-paced environment.
Key Responsibilities:
Internship Deliverables:
Required Skills & Qualifications
Compensation:
Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
Reveleer E-Verifies all new hires.
Reveleer is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.
Location: Remote
Duration: 20-40 pre-scheduled hours per week for 8-12 weeks
Reveleer is a healthcare data and analytics company that uses Artificial Intelligence to give health plans across all business lines greater control over their Quality Improvement, Risk Adjustment, and Member Management programs. With one transformative solution, the Reveleer platform enables plans to independently execute and manage every aspect of enrollment, provider outreach and data retrieval, coding, abstraction, reporting, and submissions. Leveraging proprietary technology, robust data sets, and subject matter expertise, Reveleer provides complete record retrieval and review services so health plans can confidently plan and execute risk, quality, and member management programs to deliver more value and improved outcomes.
Role Overview:
The Product Management Intern - Prospective Intelligence (PI) will support the Product team by conducting market research, analyzing product performance, improving documentation, and contributing to product development workflows. This internship is ideal for a student with strong analytical skills, an interest in healthcare technology and AI/ML, and a desire to learn how product strategy and execution come together in a fast-paced environment.
Key Responsibilities:
- Conduct market research and competitive assessments to support product strategy.
- Analyze product usage data, pilot program results, and key performance metrics.
- Participate in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives.
- Assist in writing user stories, acceptance criteria, and product documentation.
- Collaborate with engineering, data science, customer success, and other internal teams.
Internship Deliverables:
- Improve product documentation of existing functionality by validating capabilities with engineering teams, publishing updated documentation internally, and recommending monitoring or alerting enhancements.
- Strengthen product team understanding of analytics, customer performance, competitive insights, and the broader market landscape for the Prospective Intelligence suite.
- Refine customer segmentation models and create more efficient mechanisms for reporting on segment-level key metrics.
- Support operational efficiency by helping organize the product backlog, cleanse documentation, and streamline PM workflows.
Required Skills & Qualifications
- Strong analytical and communication skills.
- Interest in healthcare technology, AI/ML, and data-driven product development.
- Ability to work collaboratively in a fast-paced, innovative environment.
- Curiosity, adaptability, and willingness to learn new tools and methodologies.
Compensation:
Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
Reveleer E-Verifies all new hires.
Reveleer is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.
About Reveleer
Sourced by ZipRecruiter
Industry
Software development
Company size
51 - 200 Employees
Headquarters location
Glendale, CA, US
Year founded
2012