Stats Jobs in Web3

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Job Position Company Posted Location Salary Tags

FalconX

Remote

$103k - $117k

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Anchorage Digital

United States

$105k - $150k

Public

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Anchorage Digital

United States

$155k - $215k

OKX

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$54k - $100k

Crypto.com

Singapore, Singapore

$106k - $111k

Crypto.com

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$106k - $165k

Chainlink Labs

Remote

Chainlink Labs

Remote

Decentraland

Remote

$122k - $140k

Crypto.com

United States

$72k - $75k

Ripple

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$116k - $150k

Tether

Buenos Aires, Argentina

$54k - $80k

Senior Associate Business Operations and Analytics

FalconX
$103k - $117k estimated
Remote
Join Talent Pool

This job is closed

Responsibilities:

  • Perform data mining, cleaning, and preprocessing tasks to analyze large datasets.
  • Develop and implement statistical models and machine learning algorithms to solve business problems and optimize processes.
  • Collaborate with cross-functional teams to understand business requirements and identify opportunities for data-driven insights.
  • Interpret and communicate analysis results effectively to stakeholders through reports, visualizations, and presentations.
  • Conduct exploratory data analysis to uncover trends, patterns, and correlations in the data.
  • Stay current with industry trends and best practices in data science and analytics.

Mandatory Qualifications:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
  • 3-5 years of hands-on experience in data analysis, statistical modeling, and machine learning techniques.
  • Proficiency in programming languages such as SQL and Python for data analysis and manipulation.
  • Strong understanding of statistical concepts and methods.
  • Excellent problem-solving skills and ability to work with large and complex datasets.

Preferred Qualifications:

  • Experience working in a cross-functional team environment
  • Knowledge of data visualization tools such as Tableau, Mode, or Sigma Computing
  • Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
  • Experience with big data technologies such as Hadoop, Spark, or Hive
  • Experience with data engineering tools like Databricks, DBT, Fivetran, etc
  • Strong understanding of database systems and SQL for data querying and manipulation