Product Data Scientist & A/B Testing & Causal Inference

LatentView Analytics5 months ago
San Jose, CA, United States
Hybrid
Full-time
Junior Level (1-3 years)

Job Description

Company Description

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities, and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.

Position Overview

We are looking for an experienced and impact-driven Data Scientist to join our Express Imaging workstream. This role is ideal for someone passionate about experimentation, product analytics, and driving product decisions through data.

Designation

Designation: Product Analytics Data Scientist

Experience

Experience: 7 to 10 years

Location

Location: San Jose, CA (hybrid)

Key Responsibilities

  • Design and analyze A/B tests and experimentation frameworks
  • Apply causal inference modeling to evaluate product impact
  • Perform deep-dive product feature analysis and generate actionable insights
  • Partner closely with Product, PMM, and Design stakeholders
  • Translate business problems into scalable data science solutions

Required Skills

  • Strong expertise in A/B Testing and Experimentation
  • Hands-on experience in Data Science and Statistical Modeling
  • Excellent stakeholder management and communication skills

Preferred Qualifications

  • Experience working in cross‑functional product environments
  • Candidates based in or open to the Bay Area preferred

Diversity Statement

At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, colour, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.

Required Skills

Experimentation
Causal Inference Modeling
Stakeholder Management
Data Science
Statistical Modeling
Communication
A/B Testing