Data Scientist Jobs in Charlotte.
All active Data Scientist roles based in Charlotte.
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Senior Data Scientist
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Click here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice
Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.
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Senior Staff Data Scientist, Borrow
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Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The role
The Borrow Data Science team is seeking a Senior Staff Data Scientist who will help support growth in our Home Loans business by improving SoFi’s ability to execute with data. This is an exciting role for someone to leverage their analytical skills to create robust reporting, identify growth opportunities and insights, and build ML models using Snowflake, Airflow, dbt, and Sagemaker.
As a Senior Staff Data Scientist, you will serve as a data leader, balancing urgent requests, and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will be a technical leader, helping the team build reliable, efficient, and scalable data foundations. You will create a culture of strong technical ownership, documenting your approach and ideas to socialize, resulting in strategies that have a wide impact within the organization. You will perform analytical deep-dives to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps.
In this role, you'll use your expertise in data analysis, statistical modeling, and machine learning to uncover insights that will directly influence product strategy and revenue growth. This role demands a strong technical foundation (SQL, Python/R, Tableau, Statistics), a deep understanding of business metrics, A/B testing, causal inference analysis, and exceptional collaboration skills.
Additionally, you are expected to work cross-functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them.
What you’ll do:
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Identify high impact business opportunities to help members achieve their financial goals
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Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation.
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Develop and apply machine learning models to solve business problems
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Evaluate and interpret the results of data analysis
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Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders.
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Design and implement data collection. Build data pipelines to deploy production level datasets.
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Collaborate with cross-functional teams and business leaders to understand needs and offer data-driven solutions
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Act as a technical leader by mentoring and supporting the growth of less experienced team members.
What you’ll need:
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Masters’ or above in quantitative areas: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
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10+ years of relevant experience leveraging data-driven analysis to influence key decisions, preferably in a Tech or Finance company
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Proven track record of being able to work independently, and proactively engaging with business stakeholders with minimal direction and drive measurable business impact.
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Experience with using Airflow and DBT to build Data Pipelines in Snowflake
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Strong programming skills in SQL and Python
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Experience with building data visualizations with Tableau, Looker or other BI tools
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Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics.
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Ability to work in a dynamic, cross-functional environment, with a strong attention to detail;
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Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;
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Strong relationship building and collaborative skills;
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Exceptional problem-solving
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Ready to apply?
Apply to SoFi
Senior Data Scientist
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AT A GLANCE
RVO Health is building an industry-leading healthcare platform that integrates the consumer health journey — helping people access the right information, care, and services at the right time. Formed through a partnership between Red Ventures and UnitedHealth Group, we combine world-class consumer analytics with one of the largest healthcare networks in the world. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
We're looking for a Senior Data Scientist to join a fast-moving team building ML and AI solutions for consumer health behavior change products. You'll work on problems where your models directly influence real health outcomes for millions of users. We move fast, iterate often, and expect our scientists to thrive in ambiguity.
Where You'll Be
To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees who are in close proximity to our office hubs to work from our Fort Mill SC, Minneapolis MN, or Denver CO, office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish.
This role is also open remotely for those not in an office location.
What You’ll Do
- Design and build evaluation pipelines to measure AI and LLM output quality, including automated annotation frameworks and human-in-the-loop review workflows
- Apply NLP techniques to clinical and claims data to extract structured insights that inform product and health outcomes
- Build and improve search and retrieval systems that connect users to relevant, accurate health information using semantic search and RAG architectures
- Develop and ship generative AI applications — moving rapidly from proof of concept to production
- Partner closely with Product Managers and Engineers to translate ambiguous health problems into concrete, measurable data science solutions
- Stay current on state-of-the-art techniques and quickly evaluate what is worth building versus what is noise
- Lead cross-functional execution with stakeholders across product, engineering, and clinical teams
- Contribute to a team culture that is inclusive, intellectually honest, and moves with urgency
What We’re Looking For
You are comfortable owning problems end-to-end, shipping fast, and adjusting course when the data or product direction changes. You don't need perfect requirements to get started.
Core technical areas:
- Generative AI & LLMs — experience building applications with LLMs, prompt engineering, RAG pipelines, LangChain, or similar tooling
- Evaluation & Measurement — designing and building pipelines to assess AI/LLM output quality, including automated annotation, human-in-the-loop review, and defining metrics that reflect real health outcomes
- Clinical NLP & Claims Data — extracting structured insights from unstructured clinical text and/or working with medical claims data to understand patient journeys, diagnoses, and treatment patterns
- Search & Retrieval — building systems that help users find relevant health information, including semantic search, dense retrieval, and RAG architectures
- Behavioral modeling — understanding user engagement, retention, and habit formation patterns in the context of health behavior change
Preferred qualifications:
- PhD in a quantitative field (e.g., CS, Stats, or Physics) or a Master’s degree with 3+ years of industry experience, specifically focused on shipping production-grade ML/AI solutions in complex domains like healthcare
- Strong Python skills; experience deploying models in production environments
- Familiarity with deep learning frameworks (PyTorch, TensorFlow) and NLP techniques (Transformers, LSTMs)
- Experience with vector databases, embeddings, or retrieval-augmented generation
- Hands-on experience with healthcare data (claims, EHR, or clinical text) is a strong plus
- Demonstrated ability to move from research to production — not just notebooks
- Comfortable working with cross-functional teams and communicating technical tradeoffs to non-technical stakeholders
Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.
- Starting Salary: $105,000, - $150,000
*Note actual salary is based on geographic location, qualifications and experience - Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Paid Time Off
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Pharmacy Benefits
- Income Protection Plans
- Pet Services Plans
- Mental Health Support
- Wellness Coaching
- HSA- Health Savings Account
- Commuter Benefits
- Gym & Fitness Center Discount Program
Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com.
We do not provide visa sponsorship for this role at this time.
#LI-Hybrid #LI-Remote
RVO Health Privacy Policy: https://rvohealth.com/legal/privacy
Ready to apply?
Apply to RVO HealthSenior Data Scientist
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AT A GLANCE
RVO Health is building an industry-leading healthcare platform that integrates the consumer health journey — helping people access the right information, care, and services at the right time. Formed through a partnership between Red Ventures and UnitedHealth Group, we combine world-class consumer analytics with one of the largest healthcare networks in the world. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
We're looking for a Senior Data Scientist to join a fast-moving team building ML and AI solutions for consumer health behavior change products. You'll work on problems where your models directly influence real health outcomes for millions of users. We move fast, iterate often, and expect our scientists to thrive in ambiguity.
Where You'll Be
To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees who are in close proximity to our office hubs to work from our Fort Mill SC, Minneapolis MN, or Denver CO, office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish. .
Address: 801 California St. Denver, CO 80202
This role is also open remotely for those not in an office location.
What You’ll Do
- Design and build evaluation pipelines to measure AI and LLM output quality, including automated annotation frameworks and human-in-the-loop review workflows
- Apply NLP techniques to clinical and claims data to extract structured insights that inform product and health outcomes
- Build and improve search and retrieval systems that connect users to relevant, accurate health information using semantic search and RAG architectures
- Develop and ship generative AI applications — moving rapidly from proof of concept to production
- Partner closely with Product Managers and Engineers to translate ambiguous health problems into concrete, measurable data science solutions
- Stay current on state-of-the-art techniques and quickly evaluate what is worth building versus what is noise
- Lead cross-functional execution with stakeholders across product, engineering, and clinical teams
- Contribute to a team culture that is inclusive, intellectually honest, and moves with urgency
What We’re Looking For
You are comfortable owning problems end-to-end, shipping fast, and adjusting course when the data or product direction changes. You don't need perfect requirements to get started.
Core technical areas:
- Generative AI & LLMs — experience building applications with LLMs, prompt engineering, RAG pipelines, LangChain, or similar tooling
- Evaluation & Measurement — designing and building pipelines to assess AI/LLM output quality, including automated annotation, human-in-the-loop review, and defining metrics that reflect real health outcomes
- Clinical NLP & Claims Data — extracting structured insights from unstructured clinical text and/or working with medical claims data to understand patient journeys, diagnoses, and treatment patterns
- Search & Retrieval — building systems that help users find relevant health information, including semantic search, dense retrieval, and RAG architectures
- Behavioral modeling — understanding user engagement, retention, and habit formation patterns in the context of health behavior change
Preferred qualifications:
- PhD in a quantitative field (e.g., CS, Stats, or Physics) or a Master’s degree with 3+ years of industry experience, specifically focused on shipping production-grade ML/AI solutions in complex domains like healthcare
- Strong Python skills; experience deploying models in production environments
- Familiarity with deep learning frameworks (PyTorch, TensorFlow) and NLP techniques (Transformers, LSTMs)
- Experience with vector databases, embeddings, or retrieval-augmented generation
- Hands-on experience with healthcare data (claims, EHR, or clinical text) is a strong plus
- Demonstrated ability to move from research to production — not just notebooks
- Comfortable working with cross-functional teams and communicating technical tradeoffs to non-technical stakeholders
Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.
- Starting Salary: $105,000, - $150,000
*Note actual salary is based on geographic location, qualifications and experience - Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Paid Time Off
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Pharmacy Benefits
- Income Protection Plans
- Pet Services Plans
- Mental Health Support
- Wellness Coaching
- HSA- Health Savings Account
- Commuter Benefits
- Gym & Fitness Center Discount Program
Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com.
We do not provide visa sponsorship for this role at this time.
#LI-Hybrid
RVO Health Privacy Policy: https://rvohealth.com/legal/privacy
Ready to apply?
Apply to RVO HealthSenior Data Scientist
Share this job
AT A GLANCE
RVO Health is building an industry-leading healthcare platform that integrates the consumer health journey — helping people access the right information, care, and services at the right time. Formed through a partnership between Red Ventures and UnitedHealth Group, we combine world-class consumer analytics with one of the largest healthcare networks in the world. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
We're looking for a Senior Data Scientist to join a fast-moving team building ML and AI solutions for consumer health behavior change products. You'll work on problems where your models directly influence real health outcomes for millions of users. We move fast, iterate often, and expect our scientists to thrive in ambiguity.
Where You'll Be
To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees who are in close proximity to our office hubs to work from our Fort Mill SC, Minneapolis MN, or Denver CO, office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish.
Address: 11000 Optum Cir, Eden Prairie, MN 55344
This role is also open remotely for those not in an office location.
What You’ll Do
- Design and build evaluation pipelines to measure AI and LLM output quality, including automated annotation frameworks and human-in-the-loop review workflows
- Apply NLP techniques to clinical and claims data to extract structured insights that inform product and health outcomes
- Build and improve search and retrieval systems that connect users to relevant, accurate health information using semantic search and RAG architectures
- Develop and ship generative AI applications — moving rapidly from proof of concept to production
- Partner closely with Product Managers and Engineers to translate ambiguous health problems into concrete, measurable data science solutions
- Stay current on state-of-the-art techniques and quickly evaluate what is worth building versus what is noise
- Lead cross-functional execution with stakeholders across product, engineering, and clinical teams
- Contribute to a team culture that is inclusive, intellectually honest, and moves with urgency
What We’re Looking For
You are comfortable owning problems end-to-end, shipping fast, and adjusting course when the data or product direction changes. You don't need perfect requirements to get started.
Core technical areas:
- Generative AI & LLMs — experience building applications with LLMs, prompt engineering, RAG pipelines, LangChain, or similar tooling
- Evaluation & Measurement — designing and building pipelines to assess AI/LLM output quality, including automated annotation, human-in-the-loop review, and defining metrics that reflect real health outcomes
- Clinical NLP & Claims Data — extracting structured insights from unstructured clinical text and/or working with medical claims data to understand patient journeys, diagnoses, and treatment patterns
- Search & Retrieval — building systems that help users find relevant health information, including semantic search, dense retrieval, and RAG architectures
- Behavioral modeling — understanding user engagement, retention, and habit formation patterns in the context of health behavior change
Preferred qualifications:
- PhD in a quantitative field (e.g., CS, Stats, or Physics) or a Master’s degree with 3+ years of industry experience, specifically focused on shipping production-grade ML/AI solutions in complex domains like healthcare
- Strong Python skills; experience deploying models in production environments
- Familiarity with deep learning frameworks (PyTorch, TensorFlow) and NLP techniques (Transformers, LSTMs)
- Experience with vector databases, embeddings, or retrieval-augmented generation
- Hands-on experience with healthcare data (claims, EHR, or clinical text) is a strong plus
- Demonstrated ability to move from research to production — not just notebooks
- Comfortable working with cross-functional teams and communicating technical tradeoffs to non-technical stakeholders
Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.
- Starting Salary: $105,000, - $150,000
*Note actual salary is based on geographic location, qualifications and experience - Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Paid Time Off
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Pharmacy Benefits
- Income Protection Plans
- Pet Services Plans
- Mental Health Support
- Wellness Coaching
- HSA- Health Savings Account
- Commuter Benefits
- Gym & Fitness Center Discount Program
Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com.
We do not provide visa sponsorship for this role at this time.
#LI-Hybrid
RVO Health Privacy Policy: https://rvohealth.com/legal/privacy
Ready to apply?
Apply to RVO HealthSenior Data Scientist
Share this job
AT A GLANCE
RVO Health is building an industry-leading healthcare platform that integrates the consumer health journey — helping people access the right information, care, and services at the right time. Formed through a partnership between Red Ventures and UnitedHealth Group, we combine world-class consumer analytics with one of the largest healthcare networks in the world. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
We're looking for a Senior Data Scientist to join a fast-moving team building ML and AI solutions for consumer health behavior change products. You'll work on problems where your models directly influence real health outcomes for millions of users. We move fast, iterate often, and expect our scientists to thrive in ambiguity.
Where You'll Be
To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees who are in close proximity to our office hubs to work from our Fort Mill SC, Minneapolis MN, or Denver CO, office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish.
Address: 1101 Red Ventures Dr Fort Mill, SC 29707
This role is also open remotely for those not in an office location.
What You’ll Do
- Design and build evaluation pipelines to measure AI and LLM output quality, including automated annotation frameworks and human-in-the-loop review workflows
- Apply NLP techniques to clinical and claims data to extract structured insights that inform product and health outcomes
- Build and improve search and retrieval systems that connect users to relevant, accurate health information using semantic search and RAG architectures
- Develop and ship generative AI applications — moving rapidly from proof of concept to production
- Partner closely with Product Managers and Engineers to translate ambiguous health problems into concrete, measurable data science solutions
- Stay current on state-of-the-art techniques and quickly evaluate what is worth building versus what is noise
- Lead cross-functional execution with stakeholders across product, engineering, and clinical teams
- Contribute to a team culture that is inclusive, intellectually honest, and moves with urgency
What We’re Looking For
You are comfortable owning problems end-to-end, shipping fast, and adjusting course when the data or product direction changes. You don't need perfect requirements to get started.
Core technical areas:
- Generative AI & LLMs — experience building applications with LLMs, prompt engineering, RAG pipelines, LangChain, or similar tooling
- Evaluation & Measurement — designing and building pipelines to assess AI/LLM output quality, including automated annotation, human-in-the-loop review, and defining metrics that reflect real health outcomes
- Clinical NLP & Claims Data — extracting structured insights from unstructured clinical text and/or working with medical claims data to understand patient journeys, diagnoses, and treatment patterns
- Search & Retrieval — building systems that help users find relevant health information, including semantic search, dense retrieval, and RAG architectures
- Behavioral modeling — understanding user engagement, retention, and habit formation patterns in the context of health behavior change
Preferred qualifications:
- PhD in a quantitative field (e.g., CS, Stats, or Physics) or a Master’s degree with 3+ years of industry experience, specifically focused on shipping production-grade ML/AI solutions in complex domains like healthcare
- Strong Python skills; experience deploying models in production environments
- Familiarity with deep learning frameworks (PyTorch, TensorFlow) and NLP techniques (Transformers, LSTMs)
- Experience with vector databases, embeddings, or retrieval-augmented generation
- Hands-on experience with healthcare data (claims, EHR, or clinical text) is a strong plus
- Demonstrated ability to move from research to production — not just notebooks
- Comfortable working with cross-functional teams and communicating technical tradeoffs to non-technical stakeholders
Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.
- Starting Salary: $105,000, - $150,000
*Note actual salary is based on geographic location, qualifications and experience - Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Paid Time Off
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Pharmacy Benefits
- Income Protection Plans
- Pet Services Plans
- Mental Health Support
- Wellness Coaching
- HSA- Health Savings Account
- Commuter Benefits
- Gym & Fitness Center Discount Program
Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com.
We do not provide visa sponsorship for this role at this time.
#LI-Hybrid
RVO Health Privacy Policy: https://rvohealth.com/legal/privacy
Ready to apply?
Apply to RVO Health
Sr. Water Quality Client Solutions Manager
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At RES, we’re looking for purpose-driven individuals who are passionate about restoration and sustainability, and who want their work to make a lasting environmental impact. Our team members go above and beyond, bringing initiative, integrity, and a strong work ethic to every project. Collaboration is key—we thrive on teamwork, open communication, and diverse perspectives. In a field that constantly changes, we value those who are resilient, adaptable, and resourceful in the face of challenges. If you're intellectually curious, eager to learn, and ready to help restore ecosystems and protect natural resources, you’ll find your place here.
The Sr. Water Quality Client Solutions Manager (WQCSM) is responsible for selling advisory services, construction, and design-build water quality projects. The position is vital to the region’s sales and business development function and actively promotes RES’ solutions across the Southeast, including Tennessee, North Carolina, South Carolina and Georgia. This position can be based in Raleigh, NC, Charlotte, NC, Athens, GA, Charleston, SC, Nashville, TN, or an alternative / remote location within the Southeast may be considered.
The candidate will possess in-depth knowledge of water quality regulations and ecological restoration practices as they pertain to improving water quality, and will have experience in business development/sales, project development, and delivery, particularly in integrated or alternative delivery methods (e.g., design-build, pay-for-performance). This role collaborates with clients in early sales efforts to understand their water quality issues. The WQCSM coordinates with internal and external project team members to win business, execute projects, and drive growth in this sector. Key candidates will have experience with proposal writing/development, project discovery, advancing projects through a complex, lengthy sales process, and concept development.
The WQCSM works with the National Water Solutions Team to market watershed-scale integrated delivery projects in water quality and resilience directly to prospects and clients across the United States. The position is vital to the company’s strategic vision for landscape-scale restoration.
Responsibilities
- Achieve a defined annual sales target that enables RES to achieve its strategic growth plan
- Prospect and develop a sales pipeline of 4x to goal and drive growth in the core business and emerging strategic solutions
- Lead multi-disciplinary teams in the RES sales process to market its solutions to a list of target clients, to include working with RES’ marketing and proposal teams.
- Position RES as a strategic advisor that monitors relevant client issues and engages with innovative solutions
- Attend and speak at conferences and trade groups, and identify other external leadership roles to elevate brand awareness for RES and drive lead generation
- Monitor and share feedback about changes in customer behavior and preferences so RES can actively refine its offering
We would like to talk to you if you have many of the following:
- BA/BS Biology, Environmental Science, Geology, Hydrology, Engineering, Agricultural Science, or similar Science
- Three or more years of Regulatory or Environmental consulting experience as a “seller-doer” responsible for leading the pursuit and delivery of projects
- Demonstrated existing relationships with public agencies and regulators, private developers, consulting and engineering firms, non-profits, and academia within the Southeast
- Demonstrated ability to sell to multiple stakeholders and create a consensus that enables a commercial booking
- Experience in the review and preparation of regulatory documents and deliverables, and responding to agency comments
- Advanced understanding of and experience with relevant environmental regulations and permits/approvals (e.g. CWA 404/402/401, NWP/IP, NPDES, ESA)
- Sound understanding of restoration design principles, approaches, and supporting technical information, such as engineering design plans, functional calculations, and ecological data
- Able to independently access state and federal databases to extract specific information and interpret and communicate the results of data collected
- Ability to travel up to 50% of your time, business depending
What will make you stand out?
- Strong familiarity with GIS capabilities and functions.
- Exposure to estimating, scheduling, and budget development for project delivery
- Experience leading a multidisciplinary team in a defined sales process to win projects
- Advanced Degree or additional qualifications in Project Management, such as Project Management Professional, that indicate an ability to work with multi-disciplinary teams
- Relevant ecological restoration certifications, such as Professional Wetlands Scientist, Wetland Professional in Training, Certified Ecological Restoration Practitioner, or a similar credential
- Experience with grant writing or working on grant-funded projects, including federal, state, or other funding sources, is highly desirable.
Please note that the “Day in the Life” section is not intended to be an exhaustive list of job duties, but rather a representative snapshot of typical responsibilities and work experiences at RES.
RES is an Equal Opportunity Employer and a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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Vice President, Data Science & Strategy
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Company Overview
We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.
If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.
Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.
Data & Analytics
Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.
We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.
We deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.
This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.
This position is not eligible for immigration sponsorship.
About the Role and You
We're looking for a rare combination: a data scientist who thinks like a strategist and a strategist who speaks fluent data. You fall in love with problems and quantify complex situations using math. This isn't a role about building models in isolation—it's about transforming how a business makes decisions, identifies opportunities, and drives growth. You'll be equal parts analyst, advisor, and architect of our strategic direction.
What You'll Do
You'll sit at the intersection of data and strategy, turning complex business challenges into quantifiable opportunities. This means diving deep into our numbers to surface insights that others miss, then translating those insights into actionable growth strategies. You'll work directly with leadership to shape major business decisions, from market expansion and pricing strategy to resource allocation and competitive positioning.
Your day-to-day will involve identifying the right questions to ask before anyone else thinks to ask them, building the analytical frameworks to answer those questions, and presenting recommendations that fundamentally shift how we operate. You'll own strategic initiatives from conception through execution, measuring impact and iterating as you go. You’ll travel to client sites as needed, leading AI assessment and Strategy Engagements.
What We're Looking For
The Strategic Mindset: You naturally think several moves ahead. You understand business models, competitive dynamics, and growth levers. You can walk into a room with executives and hold your own in discussions about market strategy, unit economics, and long-term planning. You've seen how businesses succeed and fail, and you know how to spot the difference.
The Technical Depth: You're genuinely strong in quantitative methods—statistics, predictive modeling, optimization, experimental design. You can wrangle messy data, build robust analyses, and know when a sophisticated model is needed versus when a simple calculation will do. Python, R, SQL are still in your wheelhouse.
The Translation Layer: You can explain complex analytical concepts to non-technical stakeholders without dumbing them down. You know how to build conviction around data-driven recommendations and can defend your methodology when challenged. You make the quantitative accessible and actionable.
The Business Acumen: You understand P&Ls, growth metrics, customer economics, and operational levers. You've worked closely enough with business teams to know what keeps them up at night and how your analyses can help them sleep better.
Requirements
- 5+ years of experience in analytical roles with increasing strategic responsibility
- Strong foundation in statistics, machine learning, and quantitative analysis
- Demonstrated experience influencing business strategy through data
- Track record of identifying and driving growth opportunities
- Excellent communication skills with technical and executive audiences
- Proficiency in modern data science tools and languages
- Understanding of business finance and growth frameworks
Ideal Background
You might come from management consulting with deep analytical chops, strategic roles at high-growth companies, corporate strategy teams with hands-on data work, or data science roles where you've grown into strategic advisory. What matters most is that you've successfully used data to change how businesses operate and grow.
What Success Looks Like
In your first year, you'll have identified three major strategic opportunities we weren't seeing before, built the analytical infrastructure to evaluate them rigorously, and driven at least one to implementation with measurable business impact. You'll have become a trusted advisor to leadership and the person they turn to when facing the company's thorniest strategic questions.
The annual salary for this role ranges from: $145,000 to $195,000 USD + bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.
Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
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Senior Data Scientist
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*Candidates must be located in Charlotte, NC or willing to relocate. The position requires in-person attendance at least 3 days a week (ideally Tuesday-Thursday) in our Charlotte, NC office. Applicants also must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
THE POSITION:
The Senior Data Scientist is a key role within the Data Science team that involves leading complex data analysis and model development projects, leveraging a deep understanding of data science and machine learning workflows. This role requires the ability to navigate fast-paced environments with agility and poise, as well as build strong partnerships with engineering, product, business, finance, and analytics teams. As a Senior Data Scientist, you will take on a leadership position, guiding junior team members and ensuring the successful implementation of advanced analytics solutions.
KEY RESPONSIBILITIES:
- Help execute data science strategies and roadmaps to address business challenges and opportunities through analytics and AI/ML models.
- Hands on design, development, and deployment of predictive models, machine learning algorithms, and AI solutions.
- Collaborate with team members and business stakeholders to understand objectives and requirements and develop analytic models that provide actionable insights.
- Ensure the validity, reliability, and robustness of models by implementing best practices in model validation, testing, and calibration.
- Monitor performance and outcomes of models and refine them for optimized performance.
- Communicate complex analytic solutions and insights in a clear and structured manner to business stakeholders.
- Foster a culture of continuous improvement within our data science practices, staying abreast of industry trends and advancements.
- Demonstrate an eagerness to learn, including aspects related to bringing data science models into operational use.
QUALIFICATIONS:
- Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field. PhD in the above fields preferred.
- Minimum of 5 years of experience in a data science role, showcasing solid abilities in SQL and Python.
- Excellent data analysis, profiling and statistics skills coupled with proficiency in SQL tools and technologies such as Oracle, SQL Server, MySQL, Pandas, NumPy, ggplot, Shiny, SciPy, Sci-Kit Learn, and Matplotlib.
- Proficiency in utilizing a range of Machine/Deep Learning algorithms and frameworks, including TensorFlow, PyTorch, scikit-learn, Spark ML, Torch, Huggingface, Keras, Caffe, and CNTK.
- Solid understanding of cloud computing environments and experience with deploying models in cloud environments such as AWS, Azure, or GCP.
- Experience in or understanding of model development, with a willingness to explore model deployment strategies.
- High analytical aptitude for navigating complex datasets to extract actionable insights.
- Excellent problem-solving skills and a detail-oriented mindset.
- Strong communication abilities, capable of conveying technical concepts to diverse audiences.
- Proactive in learning and adapting to new methodologies and challenges.
- Ability to work effectively in a team and manage simultaneous projects in a dynamic environment.
NICE TO HAVE:
- Prior experience in Fintech
- Software engineering experience
TEAM CULTURE:
We are seeking enthusiastic candidates who have an unwavering commitment to remain at the forefront of data technology and science. Our ideal candidates are those who aim to foster a team spirit and collaboration and want to learn and grow with our team.
ABOUT LENDINGTREE
LendingTree is the nation’s leading online lending marketplace. We connect consumers with multiple lenders so they can easily compare options and find the right fit — from mortgages and personal loans to credit, savings, and insurance products.
Our founder, Doug Lebda, started LendingTree in 1996 after his own frustrating house-hunting experience. What began as a simple idea to make loan shopping easier has grown into a platform that empowers millions of people to make smarter financial decisions every day.
What else you should know:
- We’re a publicly traded company (NASDAQ: TREE).
- We’ve welcomed several other companies into the LendingTree family to expand our reach and capabilities.
- We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.
- We’re also committed to giving back — through philanthropic programs, volunteer opportunities, and partnerships that strengthen the communities where we live and work.
OUR CULTURE
We’re a collaborative, entrepreneurial team that values curiosity, creativity, and getting things done together. Our teammates are some of the brightest, most driven people you’ll meet — and we celebrate innovation, inclusion, and ownership. At LendingTree, you’ll find an inclusive culture where diverse perspectives make us stronger. We believe in working hard and supporting one another — with the flexibility and trust that help you thrive both personally and professionally.
We’re proud to offer generous benefits, wellness programs, and time-off policies designed to help you recharge, stay healthy, and bring your best self to work every day. And yes — we still have fun doing it (our “GSD – Get Stuff Done” award is a fan favorite!)
Come grow with us, make an impact, and be part of a company that truly cares about its people and its community.
The base pay range for this position in Seattle/New York/Colorado/California is $130,000 to $170,000; however, base pay offered may vary depending on internal factors, job-related knowledge, and experience.
Incentive Compensation: Eligible for annual performance bonus
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