Data Scientist

Pyyne Digital; Brasil; On-site; BRL 120,000 - 190,000; Full time

Job summary

Pyyne Digital is seeking a mid-level Product Data Scientist for a NYC-based health tech client. You will conduct product analysis and help design and evaluate A/B tests in a collaborative, data-driven environment.

You will work with 4 other data scientists and partner closely with stakeholders across data and business teams to deliver actionable insights.

Qualifications

• 3–5 years of experience as a data scientist in a product-focused environment.
• Strong SQL proficiency and data modeling basics.
• Python proficiency with data analysis libraries (Pandas, Stats).
• Excellent storytelling to communicate insights to stakeholders.
• Strong product sense and knowledge of core metrics (DAU, retention).
• Fundamental understanding of machine learning and evaluation of models.

Responsibilities

• Answer stakeholder questions with product analytics insights.
• Define metrics with PMs/engineers for initiatives.
• Lead experiment analysis with a focus on statistical significance and power.
• Deliver early insights and help iterate team processes.

Skills

SQL

Python

Data storytelling

Detail-oriented

Product metrics

ML concepts

Tools

Pandas

Stats

Job description

About Pyyne

Pyyne is a modern technology consultancy engineering the next generation of digital products and services.

At Pyyne, we believe in using technology to unlock business potential, create sustainable growth, and drive forward digital excellence. Our solutions range from advanced Software Engineering, Cloud, and Data & AI solutions.

Job Summary

Our client is a prominent NYC-based health tech company. They are seeking a mid-level Product Data Scientist to conduct product analysis and help design & evaluate A/B tests.

The Product Data Science team currently consists of 4 other Data Scientists, who work together to tackle a variety of projects each week.

A successful candidate in this role will be comfortable working closely with stakeholders across the data and business teams.

Key Responsibilities

Product Analysis:

• Answer insightful analysis questions from stakeholders across the Product org

• Be able to ramp up on how different parts of the product & data model function, to pull accurate results

• Partner with PMs and Engineers to design key metrics for different initiatives

Experiment Analysis:

• Be the “stats expert” alongside PMs to ensure the design of effective experiments

• Understand and be able to intuitively explain concepts like power & sample size

• Analyze experiment results to determine what is statistically significant, being able to take into account common pitfalls and “p-hacking” that can happen with A/B testing

• Specific Deliverables (First 3-6 months):

  • Ramp up on a particular product area and start answering ad hoc insight questions from there

  • Design an experiment (with another Product DS there to mentor), see it launch, and then analyze it

  • Give feedback on new team processes and come up with an idea to iterate / make a new one

Must Have Skills:

• 3 - 5 years of experience as a data scientist, in a product-focused environment

• Strong proficiency in SQL and a solid understanding of data modeling concepts

• Proficiency with Python, ideally data analysis/science packages like Pandas and Stats

• Good “Data storytelling” and stakeholder communication: can explain technical concepts in an intuitive way

• Detail-oriented: can sense-check your output and correct errors before sharing results with stakeholders

• A good product-sense and familiarity with fundamental “product” metrics (like DAU, retention, etc)

• General understanding of machine learning, and how to make and evaluation models