Job Openings Senior Data Scientist

About the job Senior Data Scientist

About hireworks

hireworks is building a community of top talent in key international markets by unlocking unparalleled access to positions at leading U.S. based companies. As your employer, hireworks will ensure you have a seamless interview, onboarding, and employee experience - providing ongoing support and resources along the way. Established in 2023, hireworks is forging corp-to-corp relationships with leading U.S. based organizations looking to grow their teams with best-in-class talent around the world. Working with hireworks means unlocking access to a network of local peers and mentors and career opportunities through our client network.

About our Client

A pioneering "Native AI" enterprise operations startup focused on the emerging field of Workflow Intelligence. Approximately two years old and approaching a major launch, the company builds sophisticated AI-driven infrastructure that provides deep visibility into how work moves through an organization, enabling enterprises to optimize team time and automate complex processes. As a high-velocity, engineering-heavy team, our client is scaling rapidly to solve non-trivial technical challenges—ranging from native macOS/Windows system integration to advanced ML and data platforms—seeking high-ownership "founding-level" talent who thrive in a fast-paced environment and prioritize clean architecture and mission-critical execution.

About the Role

We’re building a workforce and workflow intelligence platform that helps teams understand and improve how work gets done. The client is a U.S.-based tech company with a high bar for talent, ownership, and execution — and we’re intentional about building a strong, globally distributed team from the start.

We need a Senior Data Scientist to help design and build the algorithms that power insights, pre-label data, and reduce the need for manual configuration by users. This role sits at the intersection of machine learning, product, and data, turning complex data into clear, actionable value for our customers.

What You’ll Do
  • Design and build algorithms that power Reflow’s core intelligence and analytics capabilities.
  • Develop models to pre-label, classify, and structure data, reducing the need for manual setup by users.
  • Collaborate with machine learning engineers to productionize models and integrate them into scalable systems.
  • Partner with product and engineering to translate business problems into data-driven solutions.
  • Build and iterate on models that generate insights, predictions, and recommendations.
  • Help define and improve data structures that support modeling, analysis, and automation.
  • Work on improving the SOP driven experience by reducing manual steps and increasing automation.
  • Analyze complex datasets to identify patterns, trends, and opportunities for product value.
  • Continuously evaluate model performance and iterate to improve accuracy, reliability, and impact.
  • Ensure solutions are efficient, scalable, and aligned with real-world workflows and user needs.

About You

  • Experienced in applied data science, machine learning, or advanced analytics in a product-driven environment.
  • Strong foundation in statistics, modeling, and experimental design.

  • Hands-on with Python and common data science libraries.

  • Comfortable building and evaluating models that move into production.

  • Strong SQL skills and ability to work with large, complex datasets.

  • Able to translate ambiguous problems into structured, data-driven 

    solutions.
  • Focused on building systems that reduce manual work and deliver clear value to users.
  • Collaborative and comfortable working across engineering, product, and leadership teams.

Bonus Points

  • Experience with pre-labeling, weak supervision, or automated data labeling techniques.

  • Familiarity with recommendation systems, classification, or predictive modeling.

  • Experience working with ML engineers to productionize models.

  • Understanding of workflow automation, process optimization, or operations analytics.

  • Exposure to real-time data or event-driven systems.                         

Why Join

You’ll help build the intelligence layer of the platform, creating the algorithms that power automation, reduce manual setup, and unlock meaningful insights for our customers. You’ll work directly with founders and engineers across product, data, and machine learning to shape how intelligence is delivered at scale. This is a high-impact role focused on turning data into real, measurable value.

Benefits

hireworks is cultivating a growing community of top talent across LATAM. In addition to unlocking access to positions at top tier U.S. based companies, we offer a variety of benefits to enhance your experience:

  • Competitive Pay – compensation that reflects your experience and accomplishments.

  • Remote Flexibility – work from anywhere within your local country.

  • Paid Time Off – ample vacation days to rest and recharge.

  • Public Holidays – all local federal holidays are fully paid days off.