We're looking for a Data Scientist to join our analytics team based in Denver, CO.  As a Data Scientist with Digital Assets Data, you’ll be a part of a high performing team that is leading the disruption of the crypto investment industry. We are looking for someone who is motivated and passionate about designing novel trading indicators, indices, and analyses in the emerging field of cryptoanalysis as well as producing thought leadership that will help shape how investors think about and value the space. With extremely large datasets consisting of billions of records from exchanges and blockchains, you will be utilizing data that very few in the industry has access to.

Perks

• Join a well-funded and rapidly growing startup in one of the fastest growing tech sectors—cryptocurrencies and distributed ledger technology

• Work with an energetic, passionate, and knowledgeable team—a team that’s previously built and sold an enterprise, software-as-a-service startup, also in the fintech space

• Learn about distributed ledger technology and the cryptocurrency ecosystem

• Receive competitive benefits (health, dental and vision)

Duties and Responsibilities

• Produce novel analyses on the cryptoasset markets utilizing Python and Jupyter Notebooks

• Evaluate the use of standard financial modeling techniques for use in cryptocurrency

• Develop trading indicators and predictive / forecasting models specific to cryptoasset markets that showcase the Digital Assets Data analytic platform and datasets

• Communicate findings to non-technical customers and stakeholders

• Work collaboratively with the development team to enhance our analytic infrastructure and ensure our data is complete and high quality

• Help design and implement standard data science functions within the analytic platform, lowering the technical requirement for customers to produce their own advanced analyses

• Implement new statistical variables via SQL stored procedures

• Lead, develop, and mentor a team of 4+ Research Analysts and Junior Data Scientists

• Some travel may be required

Required Qualifications

• Degree in Computer Science, Statistics, Econometrics, Applied Mathematics, or other Quantitative Discipline

• Bachelors + 4 Years Experience, Masters + 2 Years Experience

• Expertise in analytical technology

  • Fluency in Python for analytics (Pandas, Numpy, Scipy, Scikit-learn, etc)

  • Knowledge and education in statistics, probability, and combinatorics and their applications in business and analytics

  • Extensive experience manipulating and analyzing time-series data

  • Machine learning expertise -- building machine learning models from start to finish, including gathering and cleaning data, feature engineering, feature selection and dimensionality reduction, algorithm selection, algorithm tuning, output generation and use

  • Extensive experience working with relational databases, including ETL and data warehousing fundamentals

  • Mastery of SQL (preferably PostgreSQL)

• Ability to be a leading contributor and thought leader in the emerging field of cryptoanalysis

• Experience in financial data analysis

Preferred Qualifications

• Experience in analyzing cryptoassets, preferably from a financial perspective

• Experience using the the Jupyter Notebook ecosystem, leveraging Altair for visualization

• Experience with leveraging big data tools, including Spark and Hadoop, for data science

Digital Assets Data cannot offer immigration sponsorship at this time.