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Senior Data Scientist

Alliance Enterprises Inc.

New York, New York • Today

Full-time

Senior Data Scientist

iSoftStone

New York, New York • Today

Full-time

USD 130,000.00 - 150,000.00 per year

Senior Data Scientist

Bellese

Remote • Today

Full-time

USD 97,300.00 - 124,000.00 per year

Senior Data Scientist

Akshaya Inc

Remote • 7d ago

Easy Apply

Contract

Depends on Experience

Senior Data Scientist

Vanta

Remote • Today

Full-time

Sr Data Scientist

Shakti Solutions

Remote • 5d ago

Easy Apply

Contract

Depends on Experience

Senior Research Data Scientist

Roku

New York, New York • Today

Full-time

USD 330,000.00 - 375,000.00 per year

Cubist Senior Data Scientist

Point72

New York, New York • Today

Full-time

Card Analytics Data Scientist Lead-Vice President

JPMorgan Chase & Co.

New York, New York • Today

Full-time

USD 147,250.00 - 215,000.00 per year

Lead Data Scientist

Reach Financial

New York, New York • Today

Full-time

USD 170,000.00 - 190,000.00 per year

Lead Data Scientist

Intercontinental Exchange, Inc

New York, New York • Today

Full-time

USD 130,000.00 - 190,000.00 per year

Lead Data Scientist

BMW Technology Corporation

Woodcliff Lake, New Jersey • Today

Full-time

USD 181,712.96 - 201,300.00 per year

Senior Staff Data Scientist

Wonder Group, Inc.

New York, New York • Today

Full-time

USD 240,000.00 - 249,500.00 per year

Lead Data Scientist

Charter Global, Inc.

Remote • 4d ago

Easy Apply

Contract, Third Party

$90 - $100

Lead Data Scientist

Memorial Hermann Health System

Remote or Texas • Today

Full-time

Lead Data Scientist

Humana Inc

Remote or Illinois • Today

Full-time

USD 156,500.00 - 215,300.00 per year

Lead Data Scientist

Stord, Inc.

Remote • Today

Full-time

Job Details

Skills

Value Engineering
Recruiting
Project Management
Preventive Maintenance
Performance Management
Data Collection
Data Quality
Reporting
Dashboard
Analytics
Python
SQL
Modeling
Data Engineering
Debugging
Workflow
Engineering Support
GitHub
Open Source
Technical Writing
Data Science
Finance
Customer Relationship Management (CRM)
Evaluation
Extraction
Research
Mathematics
Physics
FOCUS
Management
Network
Cryptography
Artificial Intelligence
Collaboration
Startups
Media
Payments

Value Engineering
Recruiting
Project Management
Preventive Maintenance
Performance Management
Data Collection
Data Quality
Reporting
Dashboard
Analytics
Python
SQL
Modeling
Data Engineering
Debugging
Workflow
Engineering Support
GitHub
Open Source
Technical Writing
Data Science
Finance
Customer Relationship Management (CRM)
Evaluation
Extraction
Research
Mathematics
Physics
FOCUS
Management
Network
Cryptography
Artificial Intelligence
Collaboration
Startups
Media
Payments

Summary

Senior Data Scientist

Location: NYC (onsite only - not remote)

Alliance is the leading accelerator for crypto & AI founders. Since 2020 we've backed 300+ startups (Rain, Pump, Synthetix, Pendle, and many more), now collectively valued at $15B+.

We're hiring a Data Scientist to join our in-house engineering team. You'll report directly to Carter (CTO) and will be responsible for owning features from the requirements definition stage to production.

What You'll Do

Own data science and analytics end-to-end: turn ambiguous questions into analysis, models, internal tools, and production systems without waiting on a PM or a large engineering team.
Build production Python systems for data collection, enrichment, scoring, and AI-assisted research across internal and external data sources.
Develop and improve predictive models: define features, build evaluation datasets, run experiments, catch leakage and data-quality issues, and move successful work from research into reliable production releases.
Write SQL and own reporting including dashboards, recurring reports, one-off investigations, and reconciliation against source data.
Turn messy data into useful decisions for investing, portfolio support, operations, and growth. The output should be understandable and actionable, not just statistically interesting.
Work directly with stakeholders to decide what is worth building, explain findings clearly, and iterate based on how the work is actually used.

What we're looking for

Senior, self-directed data scientist or analytics engineer who can take a loosely defined business problem from first query through a production-quality answer.
Deep experience with Python and SQL; comfortable working across notebooks, application code, APIs, and Metabase.
Strong applied modeling judgment: feature design, evaluation, missing data, leakage, calibration, interpretability, and knowing when a simple approach is better.
Enough data engineering depth to ship your own work: build pipelines, integrate APIs, debug bad source data, and maintain production workflows without heavy engineering support.
Clear communicator with good product judgment who can work directly with non-technical stakeholders and turn analysis into a recommendation or operating tool.
Extremely high-agency, entrepreneurial, self-driven.
Comfortable using modern AI tools and LLMs for analysis, enrichment, evaluation, and automation without treating model output as ground truth.
NYC-based or willing to relocate (non-negotiable).

Examples of strong qualifications (good to have but not required)

Shipped data products or models that people actually use, with evidence of owning the path from raw data and experimentation through production and iteration.
Strong public work: a standout GitHub, useful open-source contributions, published research, technical writing, or unusually good independent analysis.
Experience applying data science to venture, finance, marketplaces, growth, CRM, or other messy operational datasets.
Experience building LLM evaluation systems, structured extraction pipelines, or AI-assisted research products.
Founder or early data hire at a fast-moving startup, especially where you operated without a dedicated data platform or large engineering team.
Clear signals of exceptional quantitative ability: strong research, competition results, Math/Physics Olympiad performance, or a top technical academic background.

Why NOT join us

Not willing to get hands dirty: doesn't matter how important you were in past organizations; at Alliance we're all builders, not managers (even though many of us were managers in past lives).
Prioritizing work/life balance: this role demands focus, hunger, and a career-defining level of commitment. You must be locked in.
Low agency: if you need someone else to set your priorities or keep you on track, you will fail.
You can't relocate to NYC. This is non-negotiable: our founders are here, and so are we.

Why join us

Work with the most ambitious founders in crypto and AI. Learn firsthand from hundreds of startups succeeding - or failing.
Join a small, high-trust, high-performance team with outsized impact. We're ex-Meta, WhatsApp, Coinbase, YC, and have collectively founded multiple venture-backed startups.
We're backed by S-tier investors including Initialized Capital, Founders Fund, Multicoin, and Dragonfly, along with angels such as Balaji Srinivasan (ex-Coinbase CTO), Kevin Weil (CPO at OpenAI), Kevin Lin (Twitch co-founder), and Jeremy Allaire (Circle CEO), among many others.
Direct ownership and visibility: your work shapes how the next generation of founders discovers Alliance.
Career accelerator: this role sets you up, experience- and network-wise, for any high-impact path in crypto/AI - at startups, venture firms, or your own company.
Alliance startups are reinventing industries - from media to payments - and improving the lives of everyday people. You'll have a front-row seat as they change the world.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX159ef7
Position Id: 22c32dcc06b9ae89a726e28a3cc9a42
Posted 21 days ago

Fitment

Dice Job Match Score™

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Job Details

Skills

Value Engineering
Recruiting
Project Management
Preventive Maintenance
Performance Management
Data Collection
Data Quality
Reporting
Dashboard
Analytics
Python
SQL
Modeling
Data Engineering
Debugging
Workflow
Engineering Support
GitHub
Open Source
Technical Writing
Data Science
Finance
Customer Relationship Management (CRM)
Evaluation
Extraction
Research
Mathematics
Physics
FOCUS
Management
Network
Cryptography
Artificial Intelligence
Collaboration
Startups
Media
Payments

Value Engineering
Recruiting
Project Management
Preventive Maintenance
Performance Management
Data Collection
Data Quality
Reporting
Dashboard
Analytics
Python
SQL
Modeling
Data Engineering
Debugging
Workflow
Engineering Support
GitHub
Open Source
Technical Writing
Data Science
Finance
Customer Relationship Management (CRM)
Evaluation
Extraction
Research
Mathematics
Physics
FOCUS
Management
Network
Cryptography
Artificial Intelligence
Collaboration
Startups
Media
Payments

Summary

Own data science and analytics end-to-end: turn ambiguous questions into analysis, models, internal tools, and production systems without waiting on a PM or a large engineering team.
Build production Python systems for data collection, enrichment, scoring, and AI-assisted research across internal and external data sources.
Develop and improve predictive models: define features, build evaluation datasets, run experiments, catch leakage and data-quality issues, and move successful work from research into reliable production releases.
Write SQL and own reporting including dashboards, recurring reports, one-off investigations, and reconciliation against source data.
Turn messy data into useful decisions for investing, portfolio support, operations, and growth. The output should be understandable and actionable, not just statistically interesting.
Work directly with stakeholders to decide what is worth building, explain findings clearly, and iterate based on how the work is actually used.

What we're looking for

Senior, self-directed data scientist or analytics engineer who can take a loosely defined business problem from first query through a production-quality answer.
Deep experience with Python and SQL; comfortable working across notebooks, application code, APIs, and Metabase.
Strong applied modeling judgment: feature design, evaluation, missing data, leakage, calibration, interpretability, and knowing when a simple approach is better.
Enough data engineering depth to ship your own work: build pipelines, integrate APIs, debug bad source data, and maintain production workflows without heavy engineering support.
Clear communicator with good product judgment who can work directly with non-technical stakeholders and turn analysis into a recommendation or operating tool.
Extremely high-agency, entrepreneurial, self-driven.
Comfortable using modern AI tools and LLMs for analysis, enrichment, evaluation, and automation without treating model output as ground truth.
NYC-based or willing to relocate (non-negotiable).

Examples of strong qualifications (good to have but not required)

Shipped data products or models that people actually use, with evidence of owning the path from raw data and experimentation through production and iteration.
Strong public work: a standout GitHub, useful open-source contributions, published research, technical writing, or unusually good independent analysis.
Experience applying data science to venture, finance, marketplaces, growth, CRM, or other messy operational datasets.
Experience building LLM evaluation systems, structured extraction pipelines, or AI-assisted research products.
Founder or early data hire at a fast-moving startup, especially where you operated without a dedicated data platform or large engineering team.
Clear signals of exceptional quantitative ability: strong research, competition results, Math/Physics Olympiad performance, or a top technical academic background.

Why NOT join us

Not willing to get hands dirty: doesn't matter how important you were in past organizations; at Alliance we're all builders, not managers (even though many of us were managers in past lives).
Prioritizing work/life balance: this role demands focus, hunger, and a career-defining level of commitment. You must be locked in.
Low agency: if you need someone else to set your priorities or keep you on track, you will fail.
You can't relocate to NYC. This is non-negotiable: our founders are here, and so are we.

Why join us

Work with the most ambitious founders in crypto and AI. Learn firsthand from hundreds of startups succeeding - or failing.
Join a small, high-trust, high-performance team with outsized impact. We're ex-Meta, WhatsApp, Coinbase, YC, and have collectively founded multiple venture-backed startups.
We're backed by S-tier investors including Initialized Capital, Founders Fund, Multicoin, and Dragonfly, along with angels such as Balaji Srinivasan (ex-Coinbase CTO), Kevin Weil (CPO at OpenAI), Kevin Lin (Twitch co-founder), and Jeremy Allaire (Circle CEO), among many others.
Direct ownership and visibility: your work shapes how the next generation of founders discovers Alliance.
Career accelerator: this role sets you up, experience- and network-wise, for any high-impact path in crypto/AI - at startups, venture firms, or your own company.
Alliance startups are reinventing industries - from media to payments - and improving the lives of everyday people. You'll have a front-row seat as they change the world.

Dice Id: RTX159ef7
Position Id: 22c32dcc06b9ae89a726e28a3cc9a42
Posted 21 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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