Senior Data Scientist

Datos Inc is a fast growing startup focused on Data analytics and Data brokerage services. We work on the edge of technology in an interesting, yet challenging, market segment. A job with Datos is a great opportunity to gather valuable experience with the US and EU marketplaces and to grow with the company.

As the Senior Data Scientist of the team you will be responsible for leading analysis and data projects focused on institutional financial markets. 

Responsibilities:

• Build analysis, data visualizations, and multi-functional reporting with focus on financial and other markets; 
• Advance the analytical capabilities of the business, collaborate in the design of diagnostic solutions, and deliver outstanding data insights and products;
• Working with AWS Athena, Clickhouse and other related stack;
• Use descriptive and inferential statistics (t-test, chi-square, ANOVA, correlation, Regression, Factor Analysis etc.) to understand subscriber behaviors/value, and make an impact across the business;
• Building models of user behaviors for analysis or to power Datos products;

Preferred qualifications and skills:

• 4+ years of experience as an analyst in a data and analytics domain with excellent SQL, Python, or R skills for complex querying, advanced analysis, performance optimization, and working with data at scale;
• Experience with institutional finance, hedge funds, stock markets is preferred but not required; 
• Advance the analytical capabilities of the business, collaborate in the design of diagnostic solutions, and deliver outstanding data insights and products
• Experience delivering end-to-end analytics projects: taking them from vague requirements, to an impactful story, accessible across diverse audiences, and ultimately to a clear business outcome
• Strong motivation and ability to work independently
• Outstanding written and oral communication skills
• Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics
• Machine learning techniques

Conditions: 

• Full time remote work; 
• Competitive salary + bonuses; 
• Potential opportunity to relocate in EU or US;
• Share options;