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Senior Data Scientist
CoinList San Francisco, CA
$134k-166k (estimate)
Full Time 2 Months Ago
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CoinList is Hiring a Senior Data Scientist Near San Francisco, CA

CoinList is where early adopters invest in and trade the best digital assets, and is now one of the fastest growing crypto financial platforms. We support the full lifecycle of crypto investment, from token sales through token distribution, trading, lending, and crypto-specific services such as staking and access to decentralized-finance opportunities. CoinList users trade and store Bitcoin, Ether, Filecoin, and many other popular crypto assets through our full-service exchange, CoinList Pro and CoinList.co, while also getting access to the best new tokens before they list on other exchanges. We are the blue chip platform for blockchain companies, helping Filecoin, Blockstack, Solana, Celo, Algorand, Dapper, and others raise over $1.1 Billion. Our customer base includes validators, miners, founders, CEOs, crypto funds, bitcoin OGs, as well as a broad array of crypto enthusiasts. We are backed by top-tier investors, have offices in San Francisco, New York, Montreal and are just getting started.

As a data scientist at CoinList, you'll find that your days are filled with all sorts of fascinating challenges -- Working in data at CoinList means that you will build pipelines, design schema , help the company to make high-impact decisions with key data analysis, and also build machine learning products for our internal and external users.

Specifically, we are looking for a Senior data scientist with 5 years of experience to work with our Data team to power our analytics and some user-facing products.

If you are an entrepreneurial person with exceptional analytics talent, we'd love to hear from you!

Who you are

  • You like to optimize for the global optimum instead of the local optimum.
  • You focus on the things that matter and push back on things that don't.
  • You like challenging yourself by learning new things and solving difficult problems.
  • You find balance between shipping fast and shipping well.
  • You have deep expertise in certain areas but you consider yourself a generalist and you enjoy learning new types of data science methods.
  • You know how to analyze qualitative data as well, because you care about the WHY as much as the WHAT.
  • You nurture your curiosity and creativity.
  • You read and question things.
  • You enjoy building good relationships with your colleagues and your stakeholders.
  • You care about doing the right thing.
  • You are a 10x thinker, far more excited by huge disruptions than by small improvements.
  • If something is hard, that makes it more fun, and you know that if anyone can figure it out, you can.

What you will do:

  • You'll contribute in all areas.
  • You might choose to go deep in analysis and research or build machine learning models to automate our operations, but like your teammates, you'll make a habit of working across the stack.
  • You'll ship product. From hack days, to experimental prototypes, to developing a new data product, you'll constantly be building and shipping product.
  • You'll write clean, tested, well-documented data models, follow best practices, and have the benefit of working in a place where people move fast.
  • You'll help shape the product. Our whole team cares deeply about the product and has significant input into its development. You'll beta test new prototypes and talk directly with users, and your ideas will always be heard.
  • You'll be an owner. We believe in hiring smart people and giving them as much responsibility as they can handle. We'll make sure you are always pushing yourself to new levels.
  • Crypto is a far bigger deal than most people realize, and at CoinList you will be be at the forefront of it.
  • There are all sorts of technical challenges you'll be working though and new questions you'll have to answer, in partnership with founders for the leading crypto projects across the globe. If you're successful, you'll build something the world has never before seen.

Base salary range:

CA / NY - 150k - 207k equity bonus.

Montreal - 150k - 209k CAD equity bonus.

We are open to a range of background and experience for this senior role. 

Location & Hybrid Office Setup:

This role is targeted in one of our three area hubs where teammates have a hybrid schedule of 2-3 days in the office and the other days at home.

San Francisco, New York, Montreal

As an early employee at CoinList you will be a critical part of our core team and have a huge influence over the direction of the company. We will compensate you well, invest deeply in your development, and do everything we can to make sure this is the single best work experience of your life.

At CoinList, we are proud to be an Equal Opportunity Employer. We celebrate diversity, value our differences, and are committed to creating an inclusive environment for all employees.

General format:

Base salary range: X - Y k equity bonus. We are open to a range of background and experience levels for this role.

US salary range (from CA labor law 2023)

$150,000—$207,000 USD

Requirements

  • You know how to communicate complex data with simplicity using words and adequate data visualization.
  • You master data science methods ( regression, survival analysis, clustering, experimentation, etc)
  • You know how to design data models efficiently.
  • You know SQL, Python or R at proficient level.
  • You ship high-quality and actionable analysis.
  • You make deadlines for yourself, and you move fast.
  • People know they can count on you to get things done.

Our tech stack (!= requirements)

  • Prefect
  • DBT
  • Snowflake
  • AWS
  • Mode analytics
  • Codebases in Python, Rust

Job Summary

JOB TYPE

Full Time

SALARY

$134k-166k (estimate)

POST DATE

02/23/2024

EXPIRATION DATE

04/17/2024

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CoinList
Full Time
$139k-167k (estimate)
2 Months Ago
CoinList
Full Time
$139k-167k (estimate)
2 Months Ago

The job skills required for Senior Data Scientist include Analysis, Data Science, Machine Learning, Python, SQL, Data Analysis, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Scientist. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Senior Data Scientist positions, which can be used as a reference in future career path planning. As a Senior Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Scientist. You can explore the career advancement for a Senior Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Senior Data Scientist job description and responsibilities

Senior Data Scientists rae responsible in formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.

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Collating and cleaning data from various entities for later use by junior data scientists.

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Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.

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They also monitor the performance of Junior Data Scientists and providing them with practical guidance, as needed.

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May also be tasked in selecting and employing advanced statistical procedures to obtain actionable insights.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Scientist jobs

Present final result to stakeholders. Make adjustments based on feedback.

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Learn the required skills to become a data scientist.

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Review additional data scientist certifications and post-graduate learning.

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Ask the right questions to begin the discovery process.

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Choose one or more potential models and algorithms.

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Step 3: View the best colleges and universities for Senior Data Scientist.

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