Data Scientist - LATAM based only / 1854

In All Media Inc; A distancia; MXN 2,118,000 - 2,648,000; Jornada completa

Descripción de la vacante

A global technology services company is seeking a Senior Data Scientist to drive data-informed product decisions. This role involves analyzing user behavior, designing experiments, and translating complex data into actionable insights for product leadership. Ideal candidates should have over 5 years of product data science experience, strong proficiency in Python and SQL, and excellent communication skills. The position is remote and requires alignment with US Central Time business hours.

Formación

• 5+ years of experience in product data science with a focus on product decisions.
• Strong proficiency in Python using libraries like pandas and numpy.
• Advanced SQL for large datasets and statistical analyses.

Responsabilidades

• Analyze user behavior patterns using Python and SQL.
• Evaluate and recommend improvements to messaging features.
• Design and interpret experiments like A/B tests.

Conocimientos

Data analysis with Python

Advanced SQL skills

Statistical analysis

Data visualization

Communication skills

Herramientas

Postgres

BigQuery

scikit learn

TensorFlow

PyTorch

Descripción del empleo

Overview

Job Title: Senior Data Scientist

About In All Media: In All Media is a global technology services company headquartered in Austin, Texas. We partner with enterprise and Fortune 500 clients to build data driven digital products, operating with senior distributed teams across LATAM, APAC, and EMEA. Our delivery model emphasizes strong product thinking, rigorous data practices, and close collaboration with client product and engineering organizations.

This role is part of a long term engagement with a global technology client, embedded within a product focused data science function supporting high impact product initiatives.

Role Overview

As a Senior Data Scientist, you will drive data informed product decisions through advanced analysis, experimentation, and strategic insight. You will focus on understanding user behavior, sizing opportunities, and measuring the impact of product features, with a strong emphasis on messaging experiences and experimentation.

This is a senior, product facing role that requires both analytical depth and the ability to translate complex data into clear, actionable recommendations for product leadership.

Responsibilities

• Analyze user behavior patterns using Python and SQL to uncover insights that inform product strategy and execution.
• Evaluate and recommend improvements to messaging features based on quantitative analysis and user behavior signals.
• Size opportunity areas and estimate the potential impact of product initiatives to support prioritization decisions.
• Design, analyze, and interpret experiments, including A/B tests, to validate product changes and guide decision making.
• Translate experimental results into clear conclusions, outlining success criteria, risks, and next step recommendations.
• Provide long term, strategic guidance by identifying trends and patterns across large scale datasets.
• Partner closely with product managers, engineers, and designers to prioritize features and enhancements using data driven evidence.

Required Qualifications

• Senior level experience in product data science, typically 5+ years, with a proven track record influencing product decisions.
• Strong proficiency in Python for data analysis and modeling, including pandas, numpy, and Jupyter based workflows.
• Advanced SQL skills for querying and analyzing large scale datasets in environments such as Postgres, BigQuery, or similar.
• Solid foundation in statistics and experimentation, including A/B test design, analysis, and interpretation.
• Demonstrated ability to size opportunities and assess feature impact using quantitative and analytical methods.
• Strong communication skills, with experience translating complex analysis into clear, actionable insights for non technical stakeholders.
• Experience applying data visualization best practices to effectively communicate findings.

Nice to Have

• Experience building and deploying machine learning models using tools such as scikit learn, TensorFlow, or PyTorch.
• Engineering oriented data science background, with exposure to data modeling, data architecture, or production data pipelines.
• Familiarity with experimentation platforms and product analytics tooling.

Work Modality

Remote role aligned with US Central Time business hours. Candidates must be able to overlap core CT hours to collaborate effectively with product and engineering teams. Occasional flexibility for global collaboration is expected.

Why Join In All Media

You will join a senior, data driven product team where your analysis and experimentation directly influence product strategy and user experience at scale. This role offers the opportunity to lead strategic initiatives, work closely with cross functional partners, and have measurable impact on products used by millions of users.