We are looking for a self-driven, inquisitive, fast-learning individual with a passion for science (mathematics, statistics, machine learning), technology, data, and business analysis to join our Strategy team in Athens as a Data Scientist.
Signal Ocean is a technology start-up with a strong shipping pedigree. By combining strong domain expertise and state-of-the-art statistical modeling and Artificial Intelligence / Machine Learning algorithms, we deliver solutions to shipping professionals that enable them to make better decisions, faster.
Signal's Data Scientists work closely with engineering, data, product and business analysis professionals to develop robust, scalable data science models, tools and insights related to the highly entrepreneurial domains of shipping and commodities trading.
If you are interested in working at the intersection of artificial intelligence / machine learning, software engineering, and advanced business analytics and if you have the skills and drive to create and improve novel algorithms, models and, ultimately, technology products that professionals love, then we would love to hear from you.
Strict adherence to Confidentiality, Intellectual Property and Non-Compete provisions is expected.
All applications will be considered under the terms and conditions of confidentiality in accordance with the regulations of personal data protection.
As a data scientist, you'll need to :
Research and identify valuable data sources, pre-process and automate collection processes for a wide variety of shipping-related information.
Analyze large amounts of information from company databases to discover trends and patterns, drive optimizations and improvement of product development and business strategies.
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Conduct mathematical / statistical research to propose algorithms, proofs-of-concept and full solutions for effective decision making
Develop processes and tools to monitor and analyze model performance and algorithm accuracy.
Collaborate with engineering and product development teams
Communicate business needs and findings in a clear and concse way, both verbally and in writing
Present modeling outcomes and valuable information in a clear and coherent way to wider audiences.
Stay curious and enthusiastic about using algorithms and state-of-the-art research to solve problems
Engage others while showing and proving the benefit of your work.
The ideal candidate will possess :
Master's or / and a Ph.D. degree in Computer Science, Mathematics, Statistics, Operations Research or a related scientific field
3+ years of post-academic data science experience
Strong skills working with algorithms, computational complexity, statistics, and ML / AI techniques
Good applied statistics skills, such as distributions, statistical testing, linear regression, etc.
Knowledge and experience in machine learning techniques, and algorithms, such as classification, clustering, and regression algorithms
Proven experience in statistical data mining techniques
Good understanding of computational complexity
Familiarity in working with data visualization tools
Advanced programming skills in Python and / or R skills, as well as in one or more strictly type-safe programming language, such as C++, JAVA, C#.Net
Experience in working with data wrangling on large datasets (SQL / NoSQL)
Geospatial / temporal data knowledge is welcome
Passionate and talented in quickly assimilating technology and science ideas
Problem-solving aptitude, analytical mind, and business acumen
Comfortable in acting as a point of contact; explaining complicated methods and data to non-technical colleagues / clients
Good organization skills and willingness to work in and help the team
Excellent command of written and spoken English (company's working language)
Competitive salary and up to 10% or 15% bonus (depending on seniority)
Opportunity to work in a young, driven team with an exciting, global vision in the highly entrepreneurial domain of Shipping
Fun and well-equipped work environment