- Страна
- США
- Зарплата
- 185 000 $ – 225 000 $
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Data Science Manager | Home Services
Отличная вакансия с конкурентной зарплатой, грантами на акции и работой над передовыми технологиями (GenAI). Компания предлагает сильный социальный пакет и прозрачные критерии роста.
Сложность вакансии
Высокая сложность обусловлена требованием совмещать глубокую техническую экспертизу (LLM, MLOps) с управленческими навыками. Позиция предполагает гибридный график в США и отсутствие визовой поддержки, что сужает круг подходящих кандидатов.
Анализ зарплаты
Предложенный диапазон ($185k - $225k) находится на верхнем уровне рыночных значений для позиции Data Science Manager в Шарлотте, Северная Каролина. С учетом бонусов и опционов, предложение является крайне привлекательным для данного региона.
Сопроводительное письмо
I am writing to express my strong interest in the Data Science Manager position within the Home Services division at Red Ventures. With a solid background in developing production-grade machine learning solutions and a deep fascination with the potential of Generative AI, I am eager to lead your high-impact team in South Charlotte. My experience aligns perfectly with your need for a hands-on leader who can bridge the gap between complex technical architectures and strategic business outcomes.
Throughout my career, I have successfully translated ambiguous business challenges into scalable AI products, much like the ones Red Ventures uses to empower partners in the energy and telecom sectors. I am particularly impressed by your focus on the full ML lifecycle and the integration of LLM orchestration tools like LangChain. I am confident that my technical expertise in MLOps and my commitment to fostering a culture of experimentation will contribute significantly to the continued growth of the RV Home ecosystem.
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Описание вакансии
*This role requires a hybrid schedule and will be based in our South Charlotte, NC Headquarters (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week.*
*This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp.*
Red Ventures Home empowers partners through a unique blend of high-scale proprietary distribution, data models, AI-enabled applications, and strategic client partnerships. We help our clients unlock significant and sustainable growth across the home services ecosystem, ranging from telecom and security to energy and home automation. Our AI Products group is looking for a talented, results-oriented, and innovative Data Science Manager to join our team.
In this role, you will lead a small, high-impact team of data scientists focused on solving meaningful business problems through the development of software products powered by machine learning, generative AI, and optimization techniques. You will partner closely with product managers, engineering, and business stakeholders to deliver data science solutions that support partners in the energy and telecom space within our RV Home business.
This role is well-suited for a hands-on leader who enjoys staying close to the work while scaling impact through others. You will contribute technically where it matters most, while also providing direction, prioritization, and clarity for your team in an environment that values experimentation, measurement, and continuous improvement. Your work will have a visible impact on real customer and partner outcomes—and on the business’s bottom line.
We welcome candidates from different backgrounds and believe that diverse, inclusive teams build better products.
Curious how Home fits into Red Ventures? Click here.
What You’ll Do:
- Lead and support a team of 2+ data scientists, providing technical guidance, clear priorities, and day-to-day execution support.
- Partner with Data Science Product Managers, Engineering, and Product, and Business leadership to shape and deliver data science initiatives aligned with broader organizational strategy.
- Translate ambiguous business and partner problems into well-scoped data science and AI solutions.
- Contribute hands-on to the design, development, deployment, and monitoring of machine learning and generative AI systems.
- Own technical decision-making for your team, including model approaches, tooling, observability, evaluation strategies, and operational best practices.
- Drive a culture of experimentation, measurement, and iteration by defining success metrics and tracking impact over time.
- Represent data science in cross-functional and customer-facing discussions
What We’re Looking For:
- Bachelors Degree’s + 8 years of experience OR Master's Degree + 6 years of experience OR PhD + 4 years of experience
- A proven track record delivering production data science solutions using machine learning and/or generative AI.
- Experience working with LLM-based systems, including familiarity with frameworks such as LangChain, LangGraph, OpenAI Agents SDK or similar orchestration tools.
- Solid understanding of the ML lifecycle and MLOps concepts, including deployment, monitoring, and iteration in production environments (e.g., experiment tracking, feature or prompt versioning, CI/CD pipelines, model monitoring, and tools such as LangSmith, MLflow, or similar platforms).
- Strong business acumen and a genuine interest for real-world business and partner problems, with the ability to translate open-ended needs into concrete, actionable data science initiatives while maintaining a clear line of sight from technical decisions to customer and business outcomes.
- Comfort operating close to end delivery, balancing technical depth with clear communication and an understanding of how data science solutions fit into the broader product, operational, and business context.
- Prior experience leading or mentoring data scientists, with an interest in growing others while remaining technically engaged.
- Contributing to applied ML solutions that drive customer acquisition, retention, and operational effectiveness, leveraging techniques such as recommendation systems, LLM-driven personalization, and supervised models of customer behavior
Compensation:
This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications.
- Total Cash Compensation Range: $185,000 - 225,000 + Equity Grant
Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.
- Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.
Who We Are:
Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses,a joint venture in the health services industry,and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram.
At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment.
Red Ventures 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 Red Ventures 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 accommodation@redventures.com.
If you are based in California, we encourage you to read this important information for California residents linkedhere.
#LI-LR1
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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Навыки
- Machine Learning
- Generative AI
- Large Language Models
- LangChain
- MLOps
- Python
- MLflow
- CI/CD
- Recommendation Systems
- Optimization
Возможные вопросы на собеседовании
Проверка опыта работы с современным стеком генеративного ИИ, упомянутым в вакансии.
Расскажите о вашем опыте внедрения LLM-систем в продакшн. Какие инструменты оркестрации (например, LangChain или LangGraph) вы использовали и почему?
Вакансия требует навыков MLOps и мониторинга.
Как вы организуете процесс мониторинга и оценки качества моделей (особенно генеративных) после их развертывания? Какие метрики для вас приоритетны?
Роль предполагает управление небольшой командой при сохранении личного технического вклада.
Как вы балансируете между написанием кода/проектированием архитектуры и управленческими задачами, такими как менторство и приоритизация?
Важно умение переводить бизнес-задачи на язык данных.
Приведите пример, когда вы превратили неопределенную бизнес-потребность в конкретный Data Science проект. Как вы измеряли его успех?
Работа в RV Home связана с привлечением и удержанием клиентов.
Какие методы машинного обучения вы считаете наиболее эффективными для задач персонализации и прогнозирования поведения клиентов в сфере домашних услуг?
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- Страна
- США
- Зарплата
- 185 000 $ – 225 000 $