.At SwissBorg, our mission is to build a spectrum of investment experiences that help people redefine wealth. Our app has over 790,000+ verified users, offering the best price and liquidity across 16 fiat currencies to buy 90+ cryptocurrencies. Users can earn yield, diversify their portfolios with our themed crypto bundles, and gain access to exclusive alpha investment opportunities. Our community is rapidly expanding, with more than $1.4 billion in assets held in the app and over 51,000 premium users.Join us in shaping the future of finance, pushing the boundaries of what's possible, and transforming the way people manage their wealth. Whether you're in Austria or Taiwan, and whether your portfolio is worth one dollar or a million, SwissBorg provides the best tools to learn about digital currencies and manage your wealth effectively.Join the team to help revolutionise the world together!What you might be doing:Identify, develop and deploy algorithms aimed at solving business problems in a high pace environment.Use large and complex data sets to produce impactful business insights.Help the organization accurately measure the impact of various initiatives.Proactively use data to inform relevant business decisions and prioritize development on the basis of business impact.Provide data based solutions and automation aimed at optimizing operations and user experience.Use data to enrich business initiatives by identifying weaknesses and opportunities and challenging uninformed decisions.Help us SwissBorg grow by contributing to our recruitment efforts: interviewing, onboarding, etc.Transform data analysis into intuitive and easy to communicate business cases.What you might bring:3 years of experience as a data scientist or an equivalent/relevant role.Experience with econometrics and quantitative research: experiment and quasi-experiment analysis, instrumental variables and other causal inference techniques.Strong communication with non-technical audiences and ability to collaborate with cross-functional stakeholders.Advanced SQL and Python skills.Experience deploying ML models and setting up ETL pipelines are a plus.Hands-on experience solving real problems by leveraging statistical methods, machine learning and mathematical computing.Proficiency in SQL and Python to manage and process large volumes of data.Strong knowledge of statistics, time series analysis, and modeling.Willingness to always improve and challenge the existing knowledge of the situation.Excellent visualization skills and ability to present clearly and concisely results.Excellent verbal and written presentation skills.Strong decision making skills and the ability to persuade stakeholders to adjust plans.You proactively and independently investigate and pursue answers to business problems.Team player who is open to support/mentor colleagues to ensure the success of the team.Why you should apply:Freedom to build the company of your dreams
