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Senior Data Scientist

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · Austin, TX

Employer listed it 4 days ago · Added 2 days ago

First listed 4 days ago and still open.

Salary

$160k to $225k per year

Location

Hybrid · Austin, TX

Timezone

Not stated

Contract

Full-time

Experience

Senior

Category

Data

Published by the employer

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
Not mentioned in the advert
Where you can work from
We are a hybrid company with a focus on in-person collaboration when necessary.
Contract
Not mentioned in the advert
Experience asked for
Not mentioned in the advert
Pay
A competitive compensation plan with opportunity for advancement

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around Austin, TX, San Francisco, CA, New York, NY, Arlington, VA, Hybrid, so you need to live within commuting distance.

What the employer says

  • Source listing states candidate location: "Austin, TX, San Francisco, CA, New York, NY, Arlington, VA, Hybrid"
  • Listing mentions "Hybrid" and two days per week in the office

What Nomaders makes of it

  • Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a nice-to-have

  • “5+ years in data science or analytics, ideally including B2B SaaS or enterprise products”

Questions worth asking: Nomaders interpretation

  • This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.

We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.

Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.

This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.

Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.

If that sounds exciting—and the job description below feels like a fit—we really should start talking.

We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include: Austin, TX; New York City, NY; San Francisco, CA; and the Washington, DC metro area. Please ensure you can realistically commit to this structure before applying.

We’re looking for a Senior Data Scientist to help shape how we use data to improve our products and business, which serve employees at many of the world’s largest organizations. You’ll connect data across the business, from how people use our products to the value our customers see, building metrics that teams across the company act on and our enterprise customers rely on to understand their return on investment. This is a builder role: you’ll design data models, run experiments, build predictive models, help define how we evaluate AI systems in production, and build internal AI tools that help teams across the company understand and act on data. You’ll be part of an AI-forward team where experimenting with new tools is encouraged, and your work will directly influence strategy and how decisions get made across the company.

What you’ll do:

Connect data across product, partner, and business systems, building the metrics and reporting that show how our work translates into value for our enterprise customers

Design and maintain data models and governed metric definitions, so the same numbers show up consistently across internal analysis, customer-facing reporting, and AI-powered tools

Partner with engineering to make sure the data we collect supports reliable measurement

Design and analyze experiments, applying causal inference methods to measure the impact of product and business changes

Build predictive models for problems like engagement, retention, and customer health, and put them into use across the business

Build systems to evaluate AI models and tools, measuring quality, safety, and consistency over time and combining automated metrics with human review

Run deep dives into why metrics move, and turn the findings into clear recommendations for teams across the company and leadership

Build with AI as part of your daily work, including agents, LLM-assisted analysis, and internal tools that help the team move faster

Take on projects across different areas of the business, such as product, sales, marketing, and finance, as new needs come up

Mentor other analysts and data scientists, and help shape how the team works

If you have some or all of the following, please apply:

5+ years in data science or analytics, ideally including B2B SaaS or enterprise products

Strong SQL and Python, plus experience with modern data tooling such as dbt, a cloud data warehouse (e.g., Snowflake, BigQuery, or Databricks), and a semantic or metrics layer

Hands-on experience with data modeling and defining metrics that other teams depend on

Solid experimentation and causal inference skills, including experiment design and power analysis

Requirements

  • ·5+ years in data science or analytics, ideally including B2B SaaS or enterprise products
  • ·Strong SQL and Python, plus experience with modern data tooling such as dbt, a cloud data warehouse (e.g., Snowflake, BigQuery, or Databricks), and a semantic or metrics layer
  • ·Hands-on experience with data modeling and defining metrics that other teams depend on
  • ·Solid experimentation and causal inference skills, including experiment design and power analysis
  • ·Experience building and deploying predictive models, with a pragmatic approach to matching model complexity to the problem

Benefits

  • ·At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.
  • ·Access to BetterUp coaching; one for you and one for a friend or family member
  • ·A competitive compensation plan with opportunity for advancement
  • ·Medical, dental, and vision insurance
  • ·Flexible paid time off

How to apply

  1. 1Check the flexibility label above, hybrid, matches where you plan to live and work.
  2. 2Tailor your CV to the role at BetterUp, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 3d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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