Data Science Manager

Amun is a leading cryptocurrency issuer which aims to make purchasing crypto more
accessible, and efficient.

Under its 21Shares brand, Amun is the world's largest issuer of crypto exchange-traded
products (ETPs). The 21Shares suite of ETPs has simplified access to crypto for both
institutional and retail investors in the traditional finance community. In a similar fashion,
Amun aims to provide tokens that will make it easy for the crypto community to access
sophisticated strategies that are not otherwise readily available in this space. Amun 21Shares is a
team of entrepreneurs, engineers, and financial product developers who are uniquely
placed to revolutionize cryptocurrency investing through the issuance of our broad range
of tokens. Our goal is to make these tokens present a new paradigm in cryptocurrency
investing and to facilitate their use.

**About the Role**:
The Data Science Manager will be the first member of building and growing a data driven organization, helping to create analytical rigor of the technology organization. This will include using your quantitative skill set and eye for business to envision and build the future of crypto investing technology. You will work in close collaboration with product managers, engineers, and other cross functional teams.

This is an outstanding opportunity for someone looking to build a career in one of the most dynamic and innovative areas of investment management.

**What You Will Be Doing**:

- Build and lead a team of Analysts to be staffed based on highest needs across product and engineering
- Work with Product and Engineering leaders to define the roadmap of these charters and create analytical projects for the team
- Identify key opportunities in improving our products and platform
- Extensive data analytics and SQL query writing
- Interpret large amounts of complex data to formulate problem statements, concise conclusions regarding underlying risk dynamics, trends, and opportunities
- Identify key risk indicators and metrics while developing and monitoring key parameters, enhance reporting, and identify new areas of analytic focus to better understand the product improvements being made
- Own product data - end to end - ranging from the discovery of the business problem to eventually working with the Engineering/Product teams to execute it
- Strategy design and analysis of domain-specific use-cases; Improve monitoring mechanism to alert any anomaly in business metric; and Drive multiple experiments to evaluate and quantify the hypothesis
- Predictive modeling / Machine learning algorithms - using random Forest / Decision tree / Logistic regression

**What You Will Need to Be Great In This Role**:

- 6+ years of demonstrated ability (Bachelor) OR 5+ years of proven experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science
- Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
- More than 4 years experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
- Past experience with a Product / Tech company serving large number of customers on multiple platforms
- BA/BS in Mathematics, Statistics, Computer Science, Economics, Business or analytical field
- SQL mastery. Write efficient and complex code in SQL
- Experience in Python/R and in experimentation, A/B testing, and statistical modeling a plus
- Define business metrics, including Key Performance Indicators, for financial products, in close partnership with Product Management and other leaders
- Proven ability to handle large datasets, explore and use raw data feeds with excellent data visualization skills
- Love of data - you just go get the data you need and turn it into an insightful story. You know how to convert data into decisions without getting stuck in paralysis by analysis
- A well-organized, structured approach to problem-solving
- Strong sense of ownership, accountability, and entrepreneurial spirit
- Great communicator, problem-solver & confident in decision making
- Independent & autonomous, while still a strong teammate
- Enthusiastic, self-starting and thrives in changing, agile environments