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Who We’re Looking ForYuga Lab’s data developers build tools to understand and delight our community using massive-sca...

Scientist Data Science Aws Blockchain

$190k - $220k · Senior Fully remote

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Who We’re Looking For Data Engineers at Yuga Labs have a mix of software, infrastructure, and analytical skills requi...

Data Science Dev Aws Blockchain

$160k - $200k · Senior Fully remote

Apply

Selected role

Data Scientist

Yuga Labs Remote

Live

$190k - $220k · Senior Full-time Posted about 2 years ago 3 min read

Who We’re Looking For
Yuga Lab’s data developers build tools to understand and delight our community using massive-scale data and state of the art data processing technology. Handling the potential these data offer is a tremendous and complex task. As we continue delivering and scaling content to our community, our discipline has challenges and opportunities centered on crafting, building, and maintaining data products that support the organization’s growth.

Yuga Lab’s Data Scientists combine their wide technical expertise across machine learning (ML), artificial intelligence (AI), statistics, and experimental design to inform business decisions and develop data-powered tech. This role sits with the Data team and partners closely with both our blockchain engineering and game development teams. In a world of high volume and complexity, you will develop models and analyses that will help drive strategy for one of the largest players in web3.

The Job

Design and build innovative machine learning and statistical models for a wide variety of datasets and business needs (web3 product strategy, game design, community dynamics)
Deploy your results as visualizations, analyses, pipelines, or integrated engineering systems
This role will partner closely with product, game design, blockchain engineering, and finance to define the approach, build the solution, and communicate/deploy outcomes
In partnership with data and software engineers: define, compile, and process datasets across sources via relevant tools

Your Skills

Required Qualifications:

Master's degree in Statistics, Data Science, Quantitative Finance, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
5 years of work experience using machine learning and statistical analysis, coding (e.g., Python, SQL), and querying data
Deep understanding of machine learning concepts, statistical models, and experimental design. Experience translating product and business needs into the appropriate modeling or statistical framework.
Proficient in coding (Python) and computer science fundamentals
Proficient in accessing and developing large datasets using SQL-based query languages and API requests
A passion for a wide variety of problem spaces (blockchain, finance, game monetization and balance, social listening, player dynamics) and a desire to collaborate directly with non-technical business and creative disciplines
Strong verbal communication and data visualization skills, including communication of complex data or model insights
Experience working within cloud data platforms (e.g., AWS, GCP)
Experience with version control (github)
Familiar with data pipelining tools and automation systems. Comfortable partnering with data engineering and infrastructure partners to define data requirements and needs

Desired Qualifications:

Blockchain and/or game data experience
Familiar with data processing (e.g., Spark, Flink, Hive) and storage systems (e.g., S3, Redshift, BigQuery) at large scale

Physical Requirements and Working Conditions

Ability to sit for long periods
Ability to work on a computer screen and communicate virtually

The US base salary range for this full-time position is $190,000- $220,000 in addition to equity and benefits. Our salary ranges are determined by role and level. The range listed encompasses several levels. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and market demand. Please note that the compensation details listed in role postings reflect the base salary only, and do not include equity, or benefits.

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