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Remote Data Science Insurance Jobs in New York (NOW HIRING)

Humana

Lead Data Scientist

New York, NY · On-site +1

... Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at ... Manage the execution of data science strategies and initiatives, including the design, development ...

Humana

Lead Data Scientist

New York, NY · On-site +1

... Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at ... Manage the execution of data science strategies and initiatives, including the design, development ...

Humana

Lead Data Scientist

New York, NY · On-site +1

... Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at ... Manage the execution of data science strategies and initiatives, including the design, development ...

Found

Senior Data Scientist, Risk

New York, NY · On-site +1

$163K - $225K/yr

You will work closely with our Engineering, Data Science, Product, and Operations teams to build ... For team members who work outside those cities, Found also supports fully remote working.

Similarweb

Product Data Science (Data Labs)

New York, NY · On-site +1

$100K - $140K/yr

What does the day-to-day of a Product Data Science (Data Labs) at Similarweb look like: * Building ... insurance, 401K plan, potential equity, employee stock purchase plan and paid sick and parental ...

Similarweb

Product Data Science (Data Labs)

New York, NY · On-site +1

$100K - $140K/yr

What does the day-to-day of a Product Data Science (Data Labs) at Similarweb look like: * Building ... insurance, 401K plan, potential equity, employee stock purchase plan and paid sick and parental ...

Jackpot

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

While this is a remote position, you must be located or willing to relocate to the NYC Metro area to qualify. WHAT YOU'LL DO: * Set the vision and strategy for Data Analytics and Data Science

City of New York

Data Scientist

Manhattan, NY · On-site +1

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... environmental science or in public health. To be appointed to Assignment Level II and above ...

City of New York

Data Scientist

Manhattan, NY · On-site +1

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... environmental science or in public health. To be appointed to Assignment Level II and above ...

AlphaSense

Sr. Product Data Scientist

New York, NY · On-site +1

AlphaSense is seeking a highly analytical, entrepreneurial Sr. Product Data Scientist to serve as ... Ability to work seamlessly with a highly technical remote data team (India) while acting as the ...

Precision Technologies Corp

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Remote, however travel might be required as per business requirements FTE Only Where you're headed You'll creatively use data to solve business challenges, often uncovering new and transformative ...

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Data Scientist - Blockchain Intelligence

Merkle Science

New York, NY • On-site, Remote

Full-time

Medical

Re-posted 24 days ago

Job description

About Merkle Science
Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
About the role
We turn raw on-chain activity into trustworthy intelligence - clustering addresses into real-world entities, attributing them to services and actors, and surfacing risk for compliance and investigations teams. We're looking for a data scientist who is as comfortable shipping a heuristic to production as they are designing it: someone who can move from a messy hypothesis to a working pipeline without waiting on someone else to wire up the data.
You'll work closely with our attribution and clustering leads on models and heuristics that run across billions of transactions and multiple chains (Bitcoin, Ethereum, Tron, Solana, and more).
What you'll do
  • Design, test, and ship clustering and attribution heuristics, and measure them with real precision/coverage metrics rather than vibes.
  • Own your data end to end - pull, clean, join, and model large on-chain datasets without depending on a separate team for every query.
  • Build and maintain the pipelines that take a heuristic from notebook to production, including backfills, incremental runs, and validation.
  • Investigate edge cases (mixers, bridges, exchange hot wallets, consolidation patterns) and translate findings into repeatable logic.
  • Partner with investigations and product to define what "correct" looks like and benchmark against ground truth.
  • Prototype quickly, then harden what works.
What we're looking for
  • 4+ years building data science or data engineering systems that actually shipped (not just notebooks).
  • Strong Python and SQL; comfortable with large datasets and the gotchas of joins, dedup, and skew at scale.
  • Solid grasp of clustering, graph/network analysis, or entity resolution - and a habit of validating results, not just producing them.
  • Ability to reason about precision vs. coverage trade-offs and defend your metrics.
  • Self-directed: you can scope an ambiguous problem, get the data yourself, and drive it to a result.

Our tech stack
You don't need to have used all of these, but here's what you'd be working with day to day:
  • Databricks - our lakehouse and processing backbone. Large-scale on-chain datasets are transformed and modeled here via Spark and SQL; most heuristics run as Databricks jobs against billions of transactions.
  • Kafka - real-time ingestion of on-chain and transaction data. New blocks and events stream in continuously, so a lot of our work is designed to run incrementally rather than as one-off batch jobs.
  • Python - the primary language for everything from exploratory analysis to production heuristics and pipeline code.
  • TigerGraph - our graph database, where addresses, transactions, and entities live as a network. Clustering, traversals, and relationship queries (who funds whom, consolidation paths, entity linkage) happen here.

Supporting cast you'll likely touch:
  • SQL everywhere - for ad-hoc analysis, validation, and defining ground-truth datasets.
  • Columnar / analytical stores (e.g., ClickHouse) for fast aggregate queries over large tables.
  • Orchestration & scheduling for backfills and recurring pipeline runs.
  • Git / GitHub for version control and code review - we expect pipelines and heuristics to be reviewed like any other code.
  • GCP as our cloud environment.
How we work
Small, high-trust team. You'll have a lot of ownership and very little bureaucracy. We prototype fast, measure honestly, and ship.
Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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