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launchdarkly
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Data Scientist, Data Science

Оценка ИИ

Высокая оценка обучена прозрачностью компании в вопросах оплаты, удаленным форматом работы и возможностью работать над ключевым компонентом известного продукта. Пакет включает RSU и расширенную страховку, что делает предложение конкурентным на рынке США.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует сильной академической базы (Master's/PhD) или узкоспециализированного опыта в онлайн-экспериментах от 3 лет. Основная сложность заключается в необходимости совмещать глубокие статистические исследования с практической разработкой и кросс-функциональным взаимодействием.

Анализ зарплаты

Медиана145 000 $
Рынок115 000 $ – 185 000 $
Оценка ИИ

Предложенная зарплата ($103k - $167k) полностью соответствует рыночным стандартам США для уровня Middle/Senior Data Scientist. Верхняя граница диапазона в Зоне 1 (SF/NYC) конкурентна для компаний стадии роста, хотя в BigTech базовые оклады могут быть выше.

Сопроводительное письмо

I am writing to express my strong interest in the Data Scientist position within the Core Data Science team at LaunchDarkly. With over three years of experience in industry-level data science and a deep focus on statistical methodology, I am particularly drawn to LaunchDarkly’s commitment to ensuring statistical rigor in products like Experimentation and Release Guardian. My background in designing experiments and developing reference implementations for engineering teams aligns perfectly with your mission to raise the bar for data-driven decision-making.

In my previous roles, I have successfully bridged the gap between complex statistical research and production-ready code, working closely with cross-functional teams to deliver actionable insights. I am impressed by LaunchDarkly's culture of high trust and transparency, and I am eager to contribute my expertise in online experimentation to help your users maximize the value of every feature. I look forward to the possibility of discussing how my technical skills and pragmatic approach to engineering can support the Core DS team's goals.

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Присоединяйтесь к команде LaunchDarkly, чтобы определять будущее экспериментов и надежности релизов для миллионов пользователей!

Описание вакансии

About the Job:

We are looking for a talented individual to join the Core Data Science team at LaunchDarkly – a small but mighty team responsible for core methodology within our product line.

Our remit includes:

  1. Ensuring the statistical rigor and validity of our products
  2. Developing new techniques to bring value to our users
  3. Advocating for technically-sophisticated personas in our product development process
  4. Raising the bar for data-driven decision making within our products

Many of the products at LaunchDarkly are inherently statistical – experimentation and release guardian especially. The value of these products is fundamentally tied to their statistical characteristics. Therefore, the work of the Core DS team is critical to ensuring that our users get the most out of these features.

What you’ll do as a member of Core DS

Broadly, you’ll work cross-functionally with all areas of the team from engineering, design, and product.

Your core partners are the engineering team. You’ll be expected to do basic research on how features should be designed to satisfy certain statistical guarantees or performance expectations, create reference implementations or advise engineers on implementation details for production features, and occasionally get your hands dirty with production code.

You will also be an extremely valuable resource to our design and product teams. You can expect to be involved in most product decisions to help size and scope projects with a technical bent, and frequently contribute to design discussions when a technical eye is needed.

Finally, you’ll hold the torch for making data accessible and useful for everyone on the team. You’ll help create and tweak team metrics, pull and refine the queries for computing those metrics, and steward the processes and tooling for surfacing those to the team so that we everyone can be more data-driven.

Responsibilities:

  1. Ensuring the statistical rigor and validity of our products
  2. Developing new techniques to bring value to our users
  3. Advocating for technically-sophisticated personas in our product development process
  4. Raising the bar for data-driven decision making within our products

Qualifications:

  • Experience: 3+ years in industry
  • Technical Expertise: Masters or PhD in Statistics or a related field, or 3+ years experience specifically in online experimentation
  • Communication: Excellent written and verbal communication skills. Ability to clearly articulate technical ideas and trade-offs to both technical and non-technical audiences.
  • Bias for Action: A pragmatic and iterative approach to engineering that emphasizes incremental progress and continuous delivery.

Pay:

Target pay ranges based on Geographic Zones\ for Level 2:*

  • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $121,800 - $167,530\\
  • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $109,700 - $150,810\\
  • Zone 3: All other US locations - $103,600 - $142,450\\

LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.

\Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.*

\\Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

  • Improving the velocity and stability of software releases, without the fear of end customer outages
  • Delivering targeted experiences by easily personalizing features to customer cohorts
  • Maximizing the business impact of every feature through the ability to experiment and optimize
  • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
  • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com.

Do you need a disability accommodation?

Fill out this accommodations request form and someone from our People Operations team will contact you for assistance.

Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @launchdarkly.com email addresses. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly  directly for confirmed job openings and links to apply.

Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com.

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Навыки

  • Statistics
  • A/B Testing
  • Experimentation
  • Python
  • SQL
  • Data Analysis
  • Product Analytics

Возможные вопросы на собеседовании

Вакансия напрямую связана с продуктами для экспериментов. Важно понимать, как кандидат справляется с типичными проблемами данных.

Как бы вы подошли к анализу результатов A/B теста, если данные имеют сильное смещение (skewness) или содержат значительные выбросы?

Продукт LaunchDarkly включает 'Release Guardian'. Кандидат должен понимать статистические методы обнаружения аномалий в реальном времени.

Какие статистические методы вы бы предложили для автоматического обнаружения деградации метрик при постепенном раскатывании (canary release) новой фичи?

В описании указано, что DS консультирует инженеров по деталям реализации.

Опишите ваш опыт перевода сложной статистической модели в техническое задание или эталонную реализацию (reference implementation) для бэкенд-разработчиков.

Проверка понимания фундаментальной статистики, критически важной для Core DS.

В чем разница между фиксированными и последовательными (sequential) планами тестирования, и в каких случаях в LaunchDarkly стоит использовать последние?

Вакансия требует умения работать с метриками продукта.

Как вы определяете чувствительность метрики и какие методы повышения чувствительности (например, CUPED) вы применяли на практике?

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launchdarkly
Страна
США
Зарплата
103 600 $ – 167 530 $