Data Scientist
To see similar active jobs please follow this link: Remote Development jobs
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
- Learn with (super cool) experts in finance, engineering, AI, psychology and business
- BORG bonus based on our meritocratic system
- Flexible working hours
- 25 working days of vacation + local holidays
- We'll provide you with a MacBook and a cutting edge tech stack to help you do your best work
- Annual company and team retreats - We'd love to see you at the next one!
- Continuous learning and development opportunities
If our job description speaks to you, but you don’t feel like you meet 100% of the requirements, apply anyway! You may have skills we didn’t even know we needed.
At SwissBorg, we embrace diversity. We strongly believe that getting the best outcome requires different perspectives and backgrounds. We’re committed to openness, curiosity and creating an inclusive culture because we know that diverse teams build better products and generate better ideas. We strongly encourage applications from everyone!
Familiarising yourself with our product is crucial for anyone looking to join our team. Please make sure to test the app, explore our blog for the latest developments, and follow our Careers Page, LinkedIn, and X for regular company updates!
About the job
Data Scientist
To see similar active jobs please follow this link: Remote Development jobs
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
- Learn with (super cool) experts in finance, engineering, AI, psychology and business
- BORG bonus based on our meritocratic system
- Flexible working hours
- 25 working days of vacation + local holidays
- We'll provide you with a MacBook and a cutting edge tech stack to help you do your best work
- Annual company and team retreats - We'd love to see you at the next one!
- Continuous learning and development opportunities
If our job description speaks to you, but you don’t feel like you meet 100% of the requirements, apply anyway! You may have skills we didn’t even know we needed.
At SwissBorg, we embrace diversity. We strongly believe that getting the best outcome requires different perspectives and backgrounds. We’re committed to openness, curiosity and creating an inclusive culture because we know that diverse teams build better products and generate better ideas. We strongly encourage applications from everyone!
Familiarising yourself with our product is crucial for anyone looking to join our team. Please make sure to test the app, explore our blog for the latest developments, and follow our Careers Page, LinkedIn, and X for regular company updates!