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职位LaunchDarkly

Data Scientist, Data Science

LaunchDarkly

Data Scientist, Data Science

LaunchDarkly

Remote - US

·

Remote

·

Full-time

·

2mo ago

薪酬

$121,800 - $167,530

福利待遇

Healthcare

Equity

Mental Health

必备技能

Statistics

Online experimentation

Data Analysis

About the Job:

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

Our remit includes:

Ensuring the statistical rigor and validity of our products

Developing new techniques to bring value to our users

Advocating for technically-sophisticated personas in our product development process

Raising the bar for data-driven decision making within our products

Many of the products at Launch Darkly 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:

Ensuring the statistical rigor and validity of our products

Developing new techniques to bring value to our users

Advocating for technically-sophisticated personas in our product development process

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

Launch Darkly 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 Launch Darkly:

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 Launch Darkly 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 Launch Darkly 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 Launch Darkly, 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.

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关于LaunchDarkly

LaunchDarkly

LaunchDarkly

Series D

A feature management platform that allows software development teams to deliver to their customers.

201-500

员工数

Oakland

总部位置

$2.3B

企业估值

评价

3.0

2条评价

工作生活平衡

4.0

薪酬

3.0

企业文化

2.5

职业发展

2.5

管理层

2.5

40%

推荐给朋友

优点

Supportive leadership

Good work-life balance

Great PTO

缺点

High management turnover

Problematic culture

Unrealistic quotas

薪资范围

0个数据点

Junior/L3

Junior/L3 · Solution Architect

0份报告

$141,371

年薪总额

基本工资

-

股票

-

奖金

-

$120,165

$162,577

面试经验

1次面试

难度

3.0

/ 5

时长

14-28周

新闻动态

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