Product Data Scientist - A/B Testing & Causal Inference

Product Data Scientist - A/B Testing & Causal Inference at LatentView Analytics Product Data Scientist - A/B Testing & Causal Inference at LatentView Analytics in Campbell, California Posted in 2 days ago.

Type:

full-time

Job 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. 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:

Product Analytics Data Scientist Experience:

7 to 10 years

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 Product Analytics experience preferred Excellent stakeholder management and communication skills

Preferred:

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