The ideal candidate will be deeply passionate about data & crypto and have the desire to deploy pioneering solutions against large-scale problems. We are seeking candidates who are excited about wearing multiple hats and working closely with engineering and product to bring real solutions to market on fast timeframes, rapidly iterating from imperfect MVP through experimentation and development.

Responsibilities

Measure the liquidity and business impact of all the features the marketplace team ships to ensure best-in-class buyer, seller, and creator experience
Drive team and company understanding of supply, demand, and competitive dynamics in our marketplace, across all verticals and chains
Build and iterate data scoring systems and products that will equip OpenSea and our partner creators with a next-level understanding of how to plan and execute a successful drop, curate and respond to their communities and grow their web3 footprint over time
Work with business teams to continuously refine, and improve the systems to cater to ever-changing OpenSea needs
Be a true degen with a deep understanding of OpenSea’s business and the larger NFT marketplace
Have your ear to the ground and be able to consult on external market dynamics that can help teams all over the company be data-informed in adapting to the ever-changing market
Be obsessive about data quality and familiar with tools like Etherscan, Dune, and Nansen to be able to ensure the accuracy of your work

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone who is excited to join the team.

Desired Experience

5+ years of experience in data science, with a strong quantitative background and specific experience in modeling programmatic buying exchanges; and/or forecasting for traditional marketplaces; and/or consumer product classification; and/or personalization and recommendation systems.
Experience in SQL, Python, Airflow, Mode, and Spark; bonus points for experience with Dune Analytics, Nansen, or other web3 analytics tools like DefiLlama
Experience communicating effectively up, down, and sideways across the company, with thoughtfulness around optimizing asynchronous communication and tailoring communication to different preferred styles
Strong cross-functional skills and ability to operate under ambiguous and fast-moving problem spaces
(Nice to have) Bonus points for web3 experience, a love for the community, and/or a degen portfolio 
(Nice to have) Humility, humor, curiosity, resourcefulness and a relentless drive to grow and learn


Blockchain Data Scientist 

About Logos

A group of Status Contributors is also involved in a new community lead project, called Logos, and this particular role will enable you to also focus on this project. Logos is a grassroots movement to provide trust-minimized, corruption-resistant governing services and social institutions to underserved citizens. 

Logos’ infrastructure will provide a base for the provisioning of the next-generation of governing services and social institutions - paving the way to economic opportunities for those who need them most, whilst respecting basic human rights through the network’s design.You can read more about Logos here: in this small handbook for mindful readers like yourself.

Who are we?

We are the Blockchain Infrastructure Team, and we are building the foundation used by other projects at the Status Network. We are researching consensus algorithms, Multi-Party Computation techniques, ZKPs and other cutting-edge solutions with the aim to take the blockchain technology to the next level of security, decentralization and scalability for a wide range of use cases. We are currently in a research phase, working with models and simulations. In the near future, we will start implementing the research. You will have the opportunity to participate in developing -and improving- the state of the art of blockchain technologies, as well as turning it into a reality

Responsibilities

Conduct tests and simulations around various peer-to-peer algorithms and protocols being developed. 
Collect, analyze, and report on data and key insights from said experiments
Discern scaling boundaries and failure modes of tested distributed systems in realistic environments.
 Work with 3rd party vendors, tooling developers, and the broader community to establish best practices for testing the systems in question.
Document findings to be consumed by both stakeholders and the general community.
You ideally will have

Experience in, and passion for, blockchain technology and p2p systems.
Linux (bash) / docker / some low-level programming language/git
Rust / Nim / Golang / C / networking protocols / p2p systems
A strong background in testing distributed systems and their common failure modes
Strong communication and documentation skills when explaining results and key findings
The ability to identify and mitigate false assumptions or weaknesses within a set of experiments or tests.
 Familiarity with the technical requirements and software involved with such testing
 Willingness to constantly learn and adapt to a rapidly changing industry
A strong alignment to our principles: https://status.im/about/#our-principles
Bonus points if

 Comfortable working remotely and asynchronously
 Experience working for an open source organization.  
 Experience in leading a team
[Don’t worry if you don’t meet all of these criteria, we’d still love to hear from you anyway if you think you’d be a great fit for this role. Just explain to us why in your cover letter].

Compensation

We are happy to pay in either 100% fiat or any mix of fiat and/or crypto. For more information regarding benefits at Status: https://people-ops.status.im/tag/perks/

Hiring Process 

The hiring process for this role will be:

Interview with our People Ops team
Interview with Corey (Logos Program Owner)
Interview with Daniel (Engineering Lead)
Interview with Jarrad (Cofounder) 

Distributed Systems Data Scientist

The Department: Trust and Safety

Trust & Safety at Gemini is a team dedicated to stopping bad actors, securing our user’s funds and ensuring the integrity of Gemini’s digital asset marketplace. We are a diverse group of technology, legal, data, and operational professionals who develop new approaches to solving classic problems using cutting edge tools and processes. Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the data analysts and scientists, associates and engineers that make up the Trust & Safety team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including fiat returns, identifying low quality and fraudulent users, and using on-chain information to support fraud detection.

The Role: Senior Data Scientist

As a member of our Trust and Safety data intelligence and strategy team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business. You will focus on customer onboarding, transactions, and payment strategies to lower payment return rates and identify and off-board bad actors from Gemini, as well as manage ad-hoc requests from cross-functional teams. You know how to ask the right questions and are passionate about using data to support and drive informed business decisions. You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. You’ll work with other data scientists, analysts, engineers, and fraud operators to guide strategies and achieve KPIs while communicating your insights with leaders across the organization.

Responsibilities:

Process, clean, and visualize data from complex databases and create top-notch reporting solutions
Partner with product managers, engineers, fraud operations, and other functions to drive insights for the Trust and Safety team
Design experimentation frameworks such as decision trees and A/B test models,  identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates 
Design, build and enhance dimensional models for BI solutions
Perform root cause analysis and resolve production and data issues
Create test plans, test scripts, and perform data validation
Tune SQL queries, reports, and ETL pipelines
Build and maintain data dictionary and process documentation
Research new tools and technologies to improve existing processes

Qualifications:

5+ years experience in data analytics, strategy analytics or modeling role
5+ years experience developing a BI applications (Tableau/Looker/Power BI, etc)  
Advanced skills with SQL are a must
Proficient in Python
Experience with one or more MPP databases (Redshift, Bigquery, Snowflake, etc)
Experience with one or more ETL tools (Informatica, Pentaho, SSIS, etc) 
Experienced in working collaboratively across different teams and departments
Strong technical and business communication
This role may require on call rotations

Preferred Qualifications:

Proficient in Developing LookML
Knowledge and experience of financial markets, banking or exchanges
Experience working in small firms or start up technology first

It Pays to Work Here

We take a holistic approach to compensation at Gemini, which includes:

Competitive Compensation and Profit-Sharing Equity
Flexible vacation policy
Retirement Plan Matching
Generous Parental leave
Comprehensive health plans
Training and professional development

Senior Data Scientist

We’re looking for pirates now that Web 2 has become the navy.

Responsibilities

Be a leader within a very flat and fast-moving team
Understand the often weird and hacked-together blockchain world, as well as the embryonic data stack being built on top of it
Navigate the idea maze toward Truth (or something like it)
Plot the critical curve or generate the essential dashboard that helps us understand Web 3.
Creatively address business problems when there are no precedents and no clear answers
Work with engineering to implement your findings and models into running product quickly. You are mapping the unknown terrain; we want to turn that into industry knowledge ASAP.
Empathize with our customers, understand their worldview, and work with the UI team to translate your insights into customer insights.
Convey your findings to colleagues; tell a story with data convincingly. Optionally, publish your work publicly will full credit.
Must haves (this is an AND)

N years doing data science or analysis (for reasonable N).
Proficiency with data visualization and dashboarding tools like Looker or Tableau. Think those suck? Tell us why.
Ideally, this would involve more than just descriptive dashboarding and extend into some predictive model-building around complicated ecosystems like markets or user behavior online.
Experience with modeling in Python: Jupyter, Pandas, PyTorch, numpy, scipy, etc.
Exception to the above: Outstanding familiarity with blockchains and protocols and their often quirky data, along with extensive experience in environments like Dune or Flipside, can compensate for a lack of more traditional data science experience. If you’re the #3 person on the Dune leaderboard, let’s talk.
Be smart and get shit done.
Be a doer and a risk-taker.
Nice to haves (this is an OR)

Experience with advertising technology or campaign management within Web 2 ads
Experience with A/B testing and experimentation
Experience in anti-fraud, either within ad tech or fin tech. There are lots of bad guys to block in Web 3.

Founding Data Scientist

The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in the UK, Denmark, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to build a flexible platform that will allow us to adapt to those rapid changes. 

Engineering Managers are, to put it simply, responsible for making sure our engineers are successful. They’re trusted mentors to their team and vital partners for Product Managers. They are especially adept at building and leading highly skilled teams, advising on complex scaling challenges, and immersing themselves in customer use cases  and problems - often all in the same day. We measure success by the retention and engagement of our engineers, and ultimately the delivery against our product roadmap. 

In one year you’ll know you were successful if you have:

Led and empowered one or more teams of engineers who are effective and love what they do. 
Hired exceptional people to grow your team(s) with a focus on diversity, scalability, and always raising the bar.
Built relationships with the Product Management team based on credibility and candor that result in lofty goals, clear objectives, and confidence that you’ll meet them. Worked with PMs and your team to set clear objectives and meet them.
Helped the entire engineering team get better at what we do through building smarter ways of working.
Guided and helped the engineering team build scalable, flexible, and maintainable data and analytics systems and micro services.
A background like this helps: 

A software, ml, or data engineering background (and you secretly put your hands on the keyboard when you get a chance.)
Experience putting and maintaining statistical and/or ml models in production.
Have built systems in a cloud environment (AWS, GCP).
Managed a diverse team of impactful engineers, ideally in a fast growing startup.
Mentored and managed Staff+ level individual contributors.
Experience hiring engineers and working closely with recruiters as a team.
Collaborative and a servant leader.
Aren’t afraid to jump into a problem and get it sorted, even if it’s outside of your day to day role.
Have an interest in blockchain protocols or a desire to learn - we can help!
 

#LI-SY1 #LI-Remote

At Chainalysis, we help government agencies, cryptocurrency businesses, and financial institutions track and investigate illicit activity on the blockchain, allowing them to engage confidently with cryptocurrency. We take care of our people with great benefits, professional development opportunities, and fun.

You belong here. 

At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. Some of the ways we’re ensuring we keep learning are an internal Diversity Committee, Days of Reflection throughout the year including International Women’s Day, Juneteenth, Harvey Milk Day, and International Migrant’s Day, and a commitment to continue revisiting and reevaluating our diversity culture. 

We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. Additionally, if you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.  


Senior Engineering Manager - Data Intelligence

The global financial ecosystem is changing. Revolutionary blockchain technology has unlocked the potential for people around the world to have more equal access to wealth and information. This transformation has begun with the mass global adoption of cryptocurrencies but like all new financial systems, it needs greater trust to realize its full potential and remain safe from bad actors. That’s where we come in. The Chainalysis blockchain data platform enables businesses, governments, and banks to solve the world’s most high-profile criminal cases, paving the way for an economy built on blockchains.

The Business Technology (BizTech) team at Chainalysis creates intuitive, scalable, and secure technology experiences that accelerate Chainalysis’ growth and empower our employees to do their best work. 

The Director of Data Engineering & Integrations role is responsible for building and leading the team that will build and operate the pipelines and integrations necessary to deliver trusted business metrics and insights to our leaders and employees.

This work will be done in close partnership with Business Systems teams, our sibling Data Engineering team, and the Business Intelligence (BI) team within BizOps. Leaders who will excel in this role are able to craft a vision and strategy for Business Data & Integrations, which they will build in concert with our business partners. They are empathetic towards and supportive of the team, taking the time to coach individual engineers and engineering managers as the team grows, and are inquisitive about the data and analytics journey at a high-growth company. The ideal leader for this team leads with people first - whether that means a focus on the UX for data experiences that we are crafting or the individuals on the team and their well-being and career growth. 

This role is open to remote candidates in the United States, with a preference for New York-based candidates who will join the team in our HQ. 

In one year you’ll know you were successful if…

Partnering with your peers and business partners, you have built and delivered a Business Data roadmap that delivers scalable data pipelines, ETL processes, and trusted insights to the company
You and your team have built trust in our Business Data through the building of a data catalog, definition of a clear data architecture, and both the implementation and enforcement of policies around data security, handling, and retention 
Your team has made an impact through reducing the time and manual overhead needed to relay insights to business leaders
Your team has substantially reduced manual effort across the company through automated business workflows built on a standard enterprise integration platform. This will come in the form of both backend systems automation and user-facing applications. 
You have hired and developed the engineers required to deliver on your roadmap, with a focus on adaptivity, resilience, and diversity 
A background like this helps: 

Demonstrated experience in roles of similar scope, preferably within technology companies
Experience leading efforts to implement Master Data Management (MDM), enterprise analytics in a SaaS company, and developing enterprise application integration strategies
Experience managing teams who have built user-facing applications to reduce manual overhead using low-code platforms
Background building around cloud-native environments and SaaS technologies
Previous experience managing distributed/remote teams
Excellent writing skills
 

#LI-SY1 #LI-Remote

 

At Chainalysis, we help government agencies, cryptocurrency businesses, and financial institutions track and investigate illicit activity on the blockchain, allowing them to engage confidently with cryptocurrency. We take care of our people with great benefits, professional development opportunities, and fun.

You belong here. 

At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. Some of the ways we’re ensuring we keep learning are an internal Diversity Committee, Days of Reflection throughout the year including International Women’s Day, Juneteenth, Harvey Milk Day, and International Migrant’s Day, and a commitment to continue revisiting and reevaluating our diversity culture. 

We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. Additionally, if you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.  

Director, Data Engineering and Architecture

The Stack
Python (Pandas, Numpy, Scikit-Learn)
AWS (S3, EC2, Batch)
Airflow
Terraform, Docker
Postgres, MySQL

The Role
Your role as a quantitative data engineer is to work on all the systems that ingest, store, transform, and serve data in Numerai. You will be asked to source new interesting datasets, build models to determine their value, and research how to best incorporate them into our strategy and our data science tournament dataset. You will be working closely with our ML engineers and researchers to design and build datasets, with our product and backend engineers to integrate data pipelines and services, and with our infrastructure team to ensure all systems are running smoothly.

As a senior engineer, you will be expected to own and lead major projects while actively raising the engineering bar across the entire organization. You will work with other senior engineers to architect robust and performant systems and processes. You will work closely with management to translate business objectives into technical requirements, align projects and goals with key metrics, and grow the engineering team.

Example Projects
Research, trial, purchase, and integrate new datasets to further enrich our equities data collection, and enable better prediction of stock movement.
Take ownership of existing tournament and hedge fund data pipelines and ensure timely delievery of all critical datasets. Build tools and processes to improve the scalability, reliability, and observability of these pipelines without sacrificing developer velocity.
Research, implement, and test transformations to the dataset to improve machine learning performance.
Design and build a canonical data platform for all datasets and data tables. Define and enforce SLAs for delivery. Define and enforce data quality standards by writing data integrity tests. Create a data staging environment to support end to end integration testing.
Design and build metrics to measure the performance, cost, usage, and efficiency of all data systems. Use these metrics to drive tactical and strategic improvements to the overall system.

Requirements
Experience building machine learning models in production
Experience with Quantiative Finance Data
Experience building data platforms and APIs
Excellent written communication (design docs, specs, documentation, code reviews, post-mortems)
Extreme ownership
Good general systems knowledge and debugging skills
Willing to work extended hours and on weekends if necessary
Strong interest in machine learning, quantitative finance, and decentralization

Quant Data Engineer

RESPONSIBILITIES:
You will oversee the research organization at dYdX. Research has a wide mandate including:
Cutting edge research into market structure on a distributed exchange.
Internal-facing analysis to help the business understand its users and product
External-facing projects to contribute to the global conversation on protocol design / trading / DeFi evolution
Educational content to help our audience become more sophisticated traders and users of our product
You will personally own a broad set of research projects across a wide variety of topics
Provide advisory services to other parts of the business on analytical / quantitative problems
Release a regular schedule of research pieces across external platforms
Collaborate with dYdX partners to enrich the research perspective

REQUIREMENTS:
Bachelor’s (or equivalent experience) in math / computer science / physics / statistics or other STEM degree
Exceptional written and verbal communication skills
Project management, time management, and ability to multitask
Deep desire to ask questions, understand data, and develop hypotheses
3 years working experience in a technical role (developer / analyst / quant / data scientist)

NICE TO HAVES:
Experience in or knowledge of trading (especially HFT), market structure, and derivatives
2 years of managerial experience
Knowledge of and passion for everything in DeFi (especially dYdX!) and web3 with a track record
Ideally have an existing personal research/content brand
Experience with our technologies: SQL / Python / Pandas / xarray

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