- Страна
- США
- Зарплата
- 90 000 $ – 115 000 $
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Data Scientist / Engineer (Healthcare Solutions)
Отличная вакансия в инновационной компании с сильной командой (200+ специалистов). Использование передового стека (Agentic AI, Databricks) и работа в социально значимой сфере здравоохранения делают роль очень привлекательной для профессионального роста.
Сложность вакансии
Роль требует редкого сочетания навыков Data Engineering и Data Science, включая опыт работы с агентными фреймворками (LangChain) и экосистемой Databricks. Высокая планка по ООП и опыту вывода LLM-решений в продакшн делает позицию сложной для кандидатов без практического опыта в Generative AI.
Анализ зарплаты
Предлагаемый диапазон $90,000 – $115,000 находится чуть ниже медианы для рынка Бостона, где опытные специалисты по LLM и Data Engineering часто претендуют на суммы от $130,000. Однако, учитывая пакет бонусов и акций (equity), совокупный доход может быть конкурентоспособным.
Сопроводительное письмо
I am writing to express my strong interest in the Data Scientist / Engineer position at Shift Technology. With a solid background in building production-level data pipelines and a deep fascination with Agentic AI, I am eager to contribute to your US Health roadmap. My experience aligns perfectly with your requirements for expertise in LLM-based solutions, RAG, and the Databricks ecosystem, particularly Mosaic AI and Unity Catalog.
In my previous roles, I have successfully deployed scalable machine learning systems and managed the full ML lifecycle using MLflow. I am particularly impressed by Shift's commitment to responsible AI and your innovative approach to transforming the insurance industry. I am confident that my technical skills in Python and Spark, combined with my ability to translate complex business needs into actionable technical solutions, will allow me to make a significant impact on your team and for your clients.
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Описание вакансии
Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.
Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.
About the Team
- This role is part of our Data Science team which is the largest team in our organization consisting of over 200+ Data Scientists throughout the world.
- Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement.
- Our company is small enough that each person’s achievements have an impact on our overall performance, yet big enough to be a world leader and innovator in our domain.
- As a member of the data science team, you will be working alongside our technical experts and your role will be key to rolling out our enterprise level solutions to our clients.
Key Responsibilities
- Your role will be to actively contributeto the US Health roadmap and clients, and working on various data types such as structured claims data, free text, documents and images.
- Build and productionize data pipelines (structured, text, documents, images) optimized for LLMs and multi-modal models.
- Design, develop and deploy LLM-based solutions (RAG, embeddings, instruction tuning) for claims handling, document understanding, and related use cases.
- Experiment with the latest in Agentic AI technologies (Langchain/Langgraph, OpenAI Agent SDK, MCP, A2A) and develop MVP for the next generation of payment integrity solutions.
- Create custom "tools" for the agent, allowing it to query internal databases, call external weather APIs, or calculate impact force based on telemetry data.
- Establish rigorous evaluation frameworks (LLM-as-a-judge) to ensure the agent’s decisions are unbiased, legally sound, and explainable.
- Ensure responsible-AI practices: privacy, hallucination mitigation, explainability and compliance.
- Lead client workshops, present prototypes, gather feedback and help define roadmap priorities.
WHAT WE ARE LOOKING FOR
We are looking for candidates with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills:
- Expert proficiency in production-level object-oriented programming (OOP) for building scalable and reliable systems.
- Proven hands-on experience with Large Language Models (LLMs) and generative AI techniques (including RAG, embeddings, prompt engineering, and model tuning), leveraging frameworks such as OpenAI/Anthropic or open-source variants.
- Solid foundation in ML fundamentals with practical experience in the full machine learning lifecycle, including model evaluation, monitoring, versioning, and deployment in production environments.
- Experience designing and implementing robust data pipelines for document, OCR, and multi-modal data workflows.
- Agentic Frameworks: Experience with integrating frameworks like LangChain/LangGraph, OpenAI Agent SDK, CrewAI, A2A/MCP with Databricks or Azure-hosted models (e.g., DBRX, OpenAI GPT-5.3, Anthropic Claude, Google Gemini).
- Demonstrated ability to effectively engage with clients, translate complex business needs into clear, actionable technical solutions, and manage stakeholder expectations.
Highly Desired Skills
- Databricks Ecosystem: Deep expertise in Mosaic AI (formerly MosaicML), Unity Catalog, and Delta Lake. Good understanding of Spark data architecture is a plus.
- Experience using MLflow for the full lifecycle: from experiment tracking and prompt engineering in the AI Playground to model evaluation.
#LI-MG1
#LI-HYBRID
The range listed is for base compensation. Your actual base salary will vary based on factors including location and individual qualifications objectively assessed during the interview process.
In addition to base salary, your total rewards package will include additional components such as incentive pay, equity, and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the specific details for this position.
US Base Salary Pay Range
$90,000—$115,000 USD
To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight:
- Flexible remote and hybrid working options
- Competitive Salary and a variable component tied to personal and company performance
- Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth
- Generous PTO and paid holidays
- Mental health benefits
- 2 MAD Days per year (Make A Difference Days for paid volunteering)
Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details.
At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company,without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria.
Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email accommodation@shift-technology.com and we will work with you to meet your accessibility needs.
Please be aware of scammers and only trust correspondence that comes from emails ending in "shift-technology.com". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process.
Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Python
- LLM
- Generative AI
- RAG
- LangChain
- Databricks
- Spark
- MLflow
- OCR
- Object-Oriented Programming
- Azure
- LangGraph
- Delta Lake
Возможные вопросы на собеседовании
Проверка практического опыта работы с LLM и понимания архитектуры RAG.
Расскажите о самом сложном конвейере RAG, который вы внедряли: как вы решали проблему релевантности поиска и галлюцинаций?
Вакансия делает упор на Agentic AI и LangChain.
Как бы вы спроектировали многоагентную систему для автоматизации проверки медицинских счетов, учитывая необходимость использования внешних API?
В требованиях указано экспертное владение ООП.
Какие паттерны проектирования вы чаще всего используете при создании масштабируемых систем обработки данных на Python?
Оценка навыков работы с инструментами Databricks.
Каков ваш опыт работы с Unity Catalog и как вы используете его для обеспечения управления данными в ML-проектах?
Роль предполагает взаимодействие с клиентами.
Опишите ситуацию, когда вам нужно было объяснить сложную техническую концепцию ИИ нетехническому заказчику. Как вы справились?
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- Страна
- США
- Зарплата
- 90 000 $ – 115 000 $