Data Scientist

LatentView Analytics; United States; Remote; USD 121,000 - 138,000; Full time

Job summary

LatentView Analytics is seeking a Data Scientist for a remote role based in New York, NY. You will partner with Fulfillment ML, Product, and Operations teams to evaluate model performance, analyze end-to-end buyer experiences, and measure real-world impact on buyer and seller lifetime value (LTV).

Responsibilities include experimental design, dashboarding in Looker/Tableau, SQL data rollups, and cross-functional communication of insights to drive strategic decisions.

Qualifications

• Strong background in experimental design, A/B testing, and hypothesis-driven statistical analysis.
• Experience building production-ready dashboards and data models in Looker or Tableau.
• Advanced SQL proficiency and familiarity with cloud data warehouses (e.g., Google BigQuery).

Responsibilities

• Partner with Fulfillment ML, Product, and Operations teams to assess model performance and measure real-world impact on buyer/seller LTV.
• Design and evaluate experiments with randomized A/B testing and offline causal analysis.
• Query and model large-scale data in BigQuery to answer business questions and support roadmaps.

Skills

SQL

Looker

Tableau

Experimentation and A/B testing

Product Analytics

Tools

Google BigQuery

Looker

Tableau

Job description

Remote- New York, New York, United States

3 - 5 Years

Permanent

Job Description

Data Scientist

JOB Location: New York, (Remote)

LatentView Analytics is a global dataanalytics and AI solutions company that partners with Fortune 500 andhigh-growth clients to turn data into competitive advantage. Our teams combinedeep technical expertise with business context to ship measurable outcomes —not just models and dashboards — across industries.

JOB DESCRIPTION

Job Role:

• In this role, you will be the core analytics partner to our Fulfillment ML, Product, and Operations teams. You will assess delivery ML model performance, analyze end-to-end buyer delivery experiences, and evaluate controlled experiments to measure real-world impact on buyer and seller lifetime value (LTV).
• Advanced Analytics & Experimentation: Partner with ML engineers, operations leads, and product managers to identify model optimization opportunities and evaluate the impact of new features, through randomized A/B testing and offline causal analysis.
• Ad-Hoc Analysis & Exploration: Query, model, and interpret large-scale data in Google BigQuery to answer critical business questions and support strategic roadmapping.
• Metric Frameworks & Data Accessibility: Design, build, and maintain robust SQL data rollups and aggregations to ensure reliable, high-quality data sources for reporting and cross-team consumption.
• Dashboards & Visualization: Create and manage interactive Looker dashboards to track key performance indicators (e.g., on-time delivery, fulfillment friction, resolution rates) and share trends with leadership.
• Cross-Functional Collaboration: Translate complex model behaviors and analytical findings into clear strategic recommendations for non-technical stakeholders.

Responsibilities:

• Strong background in experimental design, A/B testing, and hypothesis-driven statistical analysis.
• Proven experience building production-ready dashboards and data models in Looker (or similar BI tools like Tableau).
• Advanced SQL proficiency, specifically with cloud datawarehouses (e.g., Google BigQuery).

Required skills:

• SQL and Looker / Tableau, Experimentation and A/B testing, Product Analytics

Base payrange: USD $121,000 – USD $ 138,000 annually. This range reflects Total salary only — it excludes benefits — and is a good-faith estimate for this level and location that may vary based on experience, skills, and where the role is performed.

Communication: This role requires fluent spoken and written English to communicate directly with client stakeholders — a job-related requirement of the client-facing work itself, not of any candidate's background or origin.