AlphaSense

Sr. Product Data Scientist

New York, New York, United States · Senior

Sponsorship not specified$158k-$217kDetected 61 days ago

PythonSQLBigQueryData AnalysisData EngineeringData ScienceLLMsProduct StrategyRecruitingResearchLeadershipCommunicationPublic SpeakingAdaptability

About the role

AlphaSense is seeking a highly analytical, entrepreneurial Sr.
Our foundational data engineering and reporting are expertly managed by our technical team in India.
We are hiring this NYC-based role to be the "connective tissue" between our raw data and our strategic product decisions.

Lead the effort to translate complex data analysis into clear, concise, and compelling narratives that drive key business decisions and product feature development decisions.
Project Oversight: Act as a thought partner to Product leadership, proactively identifying opportunities and risks through data analysis.
Collaborate closely with Product Managers to define key performance indicators (KPIs), establish success metrics for new features, and provide ongoing, proactive insights into product performance.
Build the AI-to-Data Bridge: Wire up our BigQuery data warehouse to modern LLMs using standard protocols (like Model Context Protocol / MCP) or native cloud AI tooling.
Design the Semantic Layer: Partner with our Data Engineering team in India to ensure our data schemas are "AI-ready" (e.g., clean, well-aliased, and structured)
With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust.
Partner with our Data Engineering team in India to ensure our data schemas are "AI-ready" (e.g., clean, well-aliased, and structured)
We are committed to a work environment that supports, inspires, and respects all individuals.

Deep Product & Business Intuition: Demonstrated ability to understand product strategy and key metrics
Communication & Influence: Exceptional written and verbal communication skills, with a proven track record of presenting complex data insights clearly and persuasively to both technical and non-technical stakeholders.
You don't need to be a core software engineer, but you must be comfortable using Python and working with APIs, LLMs, and agentic frameworks.
Demonstrated ability to understand product strategy and key metrics
8+ years of experience working in Product Analytics, Data Analytics, or equivalent roles

Architect the infrastructure that allows our PMs to query our BigQuery database using natural language.
The AI tooling landscape changes rapidly.
Wire up our BigQuery data warehouse to modern LLMs using standard protocols (like Model Context Protocol / MCP) or native cloud AI tooling.
AI-Native Data Democratization: Architect the infrastructure that allows our PMs to query our BigQuery database using natural language.

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables.
In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location.
$158,000 - $217,000 USD

Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients' own research content.
You may also be offered a performance-based bonus, equity, and a generous benefits program.

Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500.
Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland.

This listing is sourced directly from AlphaSense's careers page and normalized into a canonical job model.