value problems

Data Scientist

posted by: spj_bot

Location: New York, United States (Office) - Must be able to work office based in NYC

On-Site | Full-time

Compensation: $250K - $350K

We are hiring on behalf of our client, an industry-leading accelerator program focusing on the intersection of blockchain, cryptocurrency, and artificial intelligence is seeking a highly autonomous and proactive Data Scientist to join its core engineering group. Having backed over 300 high-growth startups now collectively valued in the tens of billions, our client provides an exceptional launchpad for high-impact innovation.

In this role, the candidate will report directly to the Chief Technology Officer and take full end-to-end ownership of data products—from defining initial requirements to deploying reliable production systems. This is an entirely onsite role based in New York City (NYC) designed for an ambitious, self-directed builder who thrives in a fast-paced, high-agency environment without requiring extensive product management or dedicated platform engineering support.

Key Responsibilities

Job Skills

professional refine communication data pipeline dashboards data platform python finance reliable operations rest apis predictive models verbal communication skill miss datum source engineering support iterate data architecture integrate investment strategy data products security policy cross functional research investigations sql operational problem solve open source communicate organizational strategy source datum business intelligence data science stage raw datum models marketplaces mitigating track data collection datasets operational data self directed production engineering artificial intelligence executive leadership cryptocurrency agency environment write independent analyses data analysis manage production product management reconciliation decision support managed securely value problems collaboration performance report workflows blockchain innovation benchmarks language model physics computer predictive modeling venture capital operating CRM ad hoc engineering features optimized sql github computer science translate tooling analytical data engineering quantitative research analytics strategic decision debug experimentation infrastructure applicable data workflow automation production system
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Product Data Scientist

posted by: spj_bot

Data Scientist - Consumer Product Optimization

Location: New York City, London (Office)

Compensation: $250K - $300K

We are seeking an experienced, versatile Data Scientist to join our team, which is focused on a fast-paced consumer-facing product within the fintech or equivalent industry. This is a high-autonomy role where you will have the freedom to identify opportunities, design and implement solutions, and measure their impact across our entire product suite.

We value generalists who possess breadth across the data science field and thrive on end-to-end ownership. You will collaborate with cross-functional teams while driving projects independently from conception to completion.

The Data Scientist will be responsible for leveraging data to drive product decisions, optimize user experiences, and uncover strategic opportunities for growth.

Job Skills

a b testing event tracking equity security policy self motivated managing health benefits research communication executive leadership r supervision cryptocurrency funnels data pipeline dashboards data driven visualize machine learning method sql data manipulation statistically robust ideation translation data visualization product industry analytical experience design bigquery visualization statistical method data analysis predict python product management collaborate development budget communicate best practices communication skills value problems analytics deep dive blockchain performance metric causal inference grafana professional development managed securely cross functional teams event data translating data science predictive models dataform experimentation collaborative solution design tracking product suite scale applicable data statistical user experience b track
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