Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...
Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...
Valiant Solutions is seeking Top Secret Cleared Cyber Data Analyst Engineers to join our rapidly ... To ensure that employee performance does not suffer in a remote work environment, all employees who ...
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Position Description Valiant Solutions is seeking Top Secret Cleared Cyber Data Analyst Engineers ... Medical Costs, Dependent Care, Transit, and ParkingReferral Bonuses Remote Work Policy Remote work ...
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Analyze regulatory data against statutory financial statements, prior regulatory filings, and other relevant sources to identify, reconcile, and resolve discrepancies before submission. * Apply ...
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... channels, and creating data-driven marketing strategies. Working closely with creative ... and Meta Ads, including campaign strategy, optimization, scaling, and performance analysis.
$94K - $98K/yr
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$38.75 - $53.25/hr
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Remote Meta Data Analyst information
How does a remote meta data analyst typically collaborate with other teams while working off-site?
What is a remote meta data analyst?
What are the key skills and qualifications needed to thrive as a remote meta data analyst?
What is the difference between Remote Meta Data Analyst vs Remote Data Analyst?
| Aspect | Remote Meta Data Analyst | Remote Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in Data Science, Information Technology, or related field; familiarity with metadata standards | Bachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools |
| Work Environment | Remote, often collaborating with data management teams | Remote, working with data sets and reporting tools |
| Industry Usage | Used in data management, digital asset management, and metadata cataloging | Common across finance, marketing, healthcare, and more for data insights |
The Remote Meta Data Analyst focuses on managing and organizing metadata to ensure data quality and discoverability, while the Remote Data Analyst primarily analyzes data sets to generate insights. Both roles often work remotely and require strong analytical skills, but their core responsibilities differ in focus on metadata versus raw data analysis.
Full-time
Retirement
Posted 27 days ago
Job description
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Job Title
Senior Data Science Consultant, Insurance - RemoteRequisition Number
R7828 Senior Data Science Consultant, Insurance - Remote (Open)Location
Arizona - Home TeleworkersAdditional Locations
Alabama - Home Teleworkers, Alabama - Home Teleworkers, Arkansas - Home Teleworkers, California - Home Teleworkers, Colorado - Home Teleworkers, Connecticut - Home Teleworkers, Delaware - Home Teleworker, District of Columbia - Home Teleworkers, Florida - Home Teleworkers, Georgia - Home Teleworkers, Idaho - Home Teleworkers, Illinois - Home Teleworkers, Indiana - Home Teleworkers, Iowa - Home Teleworkers, Kansas - Home Teleworker, Kentucky - Home Teleworkers, Louisiana - Home Teleworkers, Maine Home Teleworkers, Maryland - Home Teleworkers, Massachusetts - Home Teleworkers, Michigan - Home Teleworkers, Minnesota - Home Teleworkers, Mississippi - Home Teleworker, Missouri - Home Teleworker, Montana - Home Teleworkers {+ 21 more}Job Information
CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work.
We are actively hiring for a Senior Data Science Consultant, Insurance - Remote
Your Role:
This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare for the future of the insurance industry. In this highly strategic position, you will build and apply advanced simulation models to explore emerging trends and their potential impact over the next decade. Your work will help leaders evaluate scenarios, test assumptions, and make informed decisions about how CSAA can adapt, grow, and continue serving members in a rapidly changing marketplace.
This role is ideal for a seasoned data science professional with deep expertise in modeling, simulation, AI, data analysis, and programming, along with the ability to translate complex findings into clear business recommendations. You will work closely with senior leaders and cross-functional teams to design simulation frameworks, interpret results, communicate assumptions and limitations, and influence decisions that may shape CSAA's long-term strategy. Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal simulation capabilities by mentoring others and advancing the broader data science community.
Your Work:
Lead the design, development, and validation of simulation models (discrete-event, agent-based, system dynamics, or hybrid).
Translate business or operational problems into robust simulation frameworks.
Conduct scenario analysis, what-if studies, optimization, and risk analysis.
Interpret simulation results and large datasets, delivering actionable insights to executive and technical audiences to support decision-making.
Guide business users on model assumptions, limitations, and best practices.
Coach and mentor junior consultants and review modeling work for quality and rigor.
Support problem understanding and solution design, including proposals and executive presentations.
Partner closely with data governance, model governance, and regulatory compliance teams.
Key partner to the business, advising and making actionable recommendations with significant impact.
Play key roles cross-functionally with data, IT, governance, legal, and business.
Take a leading role in shaping the culture of data science community in CSAA.
Required Experience, Education and Skills:
Bachelor's degree in STEM or bachelor's degree with an equivalent combination of relevant education.
Requires 10 years related professional experience with transferrable skills.
Experience in developing data pipelines for simulations and data science models.
Experience with fostering the culture of data scientist community.
Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation tools).
Deep knowledge in AI, data mining, data evaluation, and proficiency in compiling an effective and comprehensive modeling dataset.
Strong communication skills to explain model insights to technical partners, business partners, and corporate leaders.
Master-level data science industry knowledge and knowledge of the insurance marketplace.
What would make us excited about you?
Master's degree
CPCU, ACAS or FCAS
Extensive knowledge of various insurance operations: pricing, product, claims, marketing, and underwriting
History of thought leadership in modeling, including publishing, speaking at conferences, or contributing to industry collaborations.
Considered a leader in the field of modeling with a history of publishing articles and books, contributing to research and speaking at conferences and webinars.
Actively shapes our company culture (e.g., supporting employee resource groups, mentoring employees, volunteering, joining cross-functional projects).
Champions our cultural norms (e.g., willing to have cameras when it matters: helping onboard new team members, building relationships, etc.).
Demonstrates a company ownership mindset, thinking beyond boundaries of their own area.
Travels as needed for role, including divisional / team meetings and other in-person meetings.
Fulfills business needs, which may include investing extra time, helping other teams, etc.
Please note we are hiring for this role remote anywhere in the United States with the following exceptions: Hawaii and Alaska.
Why Choose a Career at CSAA IG?
At CSAA IG, we are a mission-driven organization proudly committed to empowering our members, our employees, and our communities to thrive.
Recognition: We offer a total compensation package, annual bonus eligibility for most roles, 401(k) with a company match, and so much more! Read more about what we offer and what it is like to be a part of our dynamic team at https://careers.csaainsurance.aaa.com/us/en/benefits.
Career Growth: We believe in growth for everyone. Here at CSAA IG, leaders and mentors partner with employees to align interests, unlock development opportunities, and support longterm success.
Flexible Workplace: We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex roles, working primarily from home, often with the flexibility to work from various locations including CSAA offices. Our flexible workplace empowers you to balance remote work with intentional inperson moments that deepen connection and collaboration.
Inclusion and Belonging: An inclusive and welcoming workplace is the cornerstone of our success. By fostering an environment where people feel valued and heard, we deepen our ability to understand and meet the unique needs of our members. This strengthens innovation and enhances our products and services, giving us a competitive edge in the market.
Sustainability: As climate change leads to more frequent and severe weather events, we are taking bold action to build more resilient communities and reduce our environmental impact. Submit your application to be considered. We communicate via email, so check your inbox and/or your spam folder to ensure you don't miss important updates from us.
CSAA is committed to providing reasonable accommodations to qualified applicants and employees with disabilities or other limitations. If you would like to request an accommodation to participate in the job application or interview process, please contact TalentAcquistion@csaa.com
If you apply and are selected to continue in the recruiting process, we will schedule a preliminary call with you to discuss the role and will disclose during that call the available salary/hourly rate range based on your location. Factors used to determine the actual salary offered may include location, experience, or education.
CSAA does not provide visa sponsorship for this role. Applicants must have authorization to work indefinitely in the US. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).
CSAA Insurance Group is an equal opportunity employer.
#LI-JH1
Knowledge, Skills and Abilities
Required:
Master-level tool knowledge (e.g., SQL, Python, R, AWS, DataRobot, other systems)
Depth knowledge data mining, data evaluation and proficiency in compiling an effective and comprehensive modeling dataset
Create innovative ways to mine and use data, including semi-structured or unstructured data
Master-level statistical, ML, GenAI and LLM modeling skills through development, deployment, monitoring
Key partner with data governance, model governance and regulatory compliance
Deep understanding of responsible AI principles for GenAI, including governance, compliance, legal, and ethical considerations; ability to influence internal policy around GenAI
Key partner to the business, advising and making actionable recommendations with significant impact
Play important role cross-functional with data, IT, governance, legal and business
Take a leading role in shaping the culture of data science community in CSAA
Master-level data science industry knowledge and knowledge of the insurance marketplace
Strong communication skills to explain model insights to technical partners, business partners and corporate leaders
Considered a leader in the field of modeling with a history of publishing articles and books, contributing to research and speaking at conferences and webinars
Education
Required
Bachelor's degree in STEM or Bachelor's degree with an equivalent combination of relevant education
Preferred:
Master's degree
CPCU, ACAS or FCAS
Experience
Required:
Requires 10 years related professional experience with transferrable skills
7 years of post-bachelor experience developing statistical, ML, GenAI and LLM Models
Lead cross-functional MLOps projects in insurance or financial services
Experience with developing GenAI models with unstructured data
Experience with fostering the culture of data scientist community
Preferred
Extensive knowledge in various insurance operations: pricing, product, claims, marketing and underwriting
Experience shaping GenAI adoption across company
Track record of thought leadership in GenAI, including publishing, speaking at conferences, or contributing to industry collaborations
Familiarity with responsible AI frameworks and ability to influence internal processes and standards related to GenAI adoption