Staff Data Scientist (Applied)

Posted 12 Days Ago
Hiring Remotely in United States
Remote
151K-212K Annually
Senior level
Fintech
The Role
As a Staff Data Scientist, you will develop, test, and deploy AI/ML models, transition models to production, review code, ensure high-quality standards, collaborate with teams, and mentor junior members while driving data-driven solutions.
Summary Generated by Built In

Guideline is looking for a Staff Data Scientist to join the Data Science team.

What You Will Work On

As an Applied Data Scientist, you will:

  • Develop, test, and deploy AI/ML models to solve complex business problems, such as anomaly detection, personalized experience, generative AI application, algorithm & optimization.
  • Transition models from proof-of-concept to production-ready solutions, ensuring scalability and performance.
  • Review and contribute to codebases, participate in pull requests, and maintain high-quality engineering standards.
  • Work with containerized environments to deploy, monitor, and troubleshoot ML services.
  • Collaborate closely with cross-functional teams, including analytics, engineering, products and business stakeholders, to align solutions with organizational needs.
  • Become a domain expert in key business areas, enabling you to craft intelligent, impactful data-driven solutions.
  • Mentor and coach junior team members, sharing best practices and set the bar for technical excellence

The Team

The Data Science team applies scientific solutions to power Guideline’s products and drive efficiency. We pioneer and adopt state-of-the-art technology to keep Guideline at the forefront of leading retirement solutions.

What We're Looking For

  • 5+ years of hands-on Data Science or ML Engineering experience (3+ years if you have a PhD)
  • Proven track record of developing and deploying ML solutions in production, from PoC to scalable systems.
  • Strong programming skills (Python, C++, Java, or Scala) and proficiency in SQL for data extraction and manipulation.
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure), MLOps, and containerization (Docker, Kubernetes).
  • Ability to work cross-functionally, translating business needs into AI-driven solutions and communicating effectively with technical and non-technical stakeholders.

More about Guideline

Everyone should have a simple, affordable way to save for retirement. At Guideline, our plans are low cost and highly automated. This makes it easy for companies to offer a valuable benefit—and easy for people to invest in their financial future with confidence.

Compensation

At Guideline, we believe compensation should be fair and equitable. We take a data-driven approach to set our compensation bands; the successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, and work location. These pay zones may be modified in the future.

Please speak with a recruiter for additional information regarding our tier locations.

  • Metro+:
    The base salary range for this position is $180,500 - $212,000 annually.
  • Metro:
    The base salary range for this position is $157,000 - $188,500 annually.
  • National: 
    The base salary range for this position is $150,500 - $182,000 annually.

In addition to base salary, this position is eligible to receive equity in the form of Incentive Stock Options (ISOs). 

At Guideline, base salary is just one component of the overall Total Rewards package offered to employees.  All employees are offered comprehensive benefits and perks to help support you and your family.

  • Health
    • Medical, dental, and vision insurance — We offer multiple plan options with varying company premium contributions
      • Opt-out credit for waiving coverage
    • Health Savings Account and Flexible Spending Account
    • Company paid disability and life insurance
    • Optional Voluntary life insurance
    • Mental health benefit navigation with Rula for employees and dependents
  • Parental Leave
    • Paid parental leave for birthing and non-birthing parents
  • Generous Time Off
    • Flexible time off in addition to company holidays — We observe the NYSE Holiday Calendar
  • 401(k) Plan
    • We use our own platform and contribute 100% of employee contributions up to 5%
  • Other Benefits
    • 1-month paid Sabbatical after 5 years of employment
    • Annual learning and development stipend — We reimburse approved professional development expenses, up to $750 per employee per year

Guideline provides equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.  Additionally, Guideline participates in the E-Verify program in certain locations, as required by law. 

If you have a disability or special need that requires accommodation, please don’t be shy and contact us at [email protected].

Guideline is committed to protecting the privacy and security of the personal information of our applicants. Please refer to Guideline's Privacy Policy for information about our privacy and security practices.

#LI-Remote

Expected Salary Range

$150,500$212,000 USD

Top Skills

C++
Java
Python
Scala
The Company
Austin, TX
218 Employees
On-site Workplace
Year Founded: 2015

What We Do

Guideline. Helping people save for a better future.
Guideline is the only 401(k) provider that doesn’t charge participants any fees on investments, regardless of the value of their assets or retirement account balance. And for employers, Guideline charges a low, flat rate fee per participant, in contrast to the asset-based fee model predominant in the industry.
By offering a full-stack solution that automates plan administration and compliance, the Guideline team is combatting what’s unfortunately become the retirement industry status quo -- legacy providers have put profit over the interests of employees, abandoning the goal of the program in the first place: to give employees the opportunity to save as much as possible for retirement.

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