Data Scientist

Signal Ocean is the technology arm of the Signal Group, a diversified shipping services group with offices in London and Athens. Our main product, The Signal Ocean Platform, allows ship charterers, brokers and owners to securely process, combine and analyse complex arrays of private and public shipping data. Powered by sophisticated machine learning / artificial intelligence technologies, the platform delivers customised, exclusive insights that help our clients achieve performance and efficiency.

About the role: 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’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.

What you will do in this role:

• 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 models and algorithms to propose proofs-of-concept or 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
• Maintain clear and coherent communication, both verbal and written, to understand business needs and report results.
• Present modeling outcomes and valuable information in a clear and coherent way to wider audiences.
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

Requirements

What you bring to the team:

• Master’s or/and a Ph.D. degree in Computer Science, Mathematics, Statistics, Operations Research or a related 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)

Benefits

What we offer

• Competitive compensation with additional performance incentives depending on experience.
• Coverage under the company’s collective health insurance plan.
• Opportunity to work alongside experienced people with deep knowledge in the shipping business who are always eager to mentor.
• COVID Remote Work setup (primarily remotely, with up to 5 days per month in the office for connectedness/team bonding purposes). Post-COVID setup in-progress.
• 2-4 weeks of onboarding training to prepare you for your new role, having the opportunity to meet about 30 trainers/leaders while diving deep into our products and/or the shipping world.
• Career growth opportunities and a structured development discussion every 4 months
• Individual learning budget for training, seminars, conferences, and unlimited free access to all Udemy courses.
• Online weekly workout program incorporating various exercise styles (pilates, yoga, strength training, cardio)
• Fun and well-equipped work environment that includes our in-house restaurant with healthy, freshly cooked lunches every day, ping pong & billiard tables.
• Regular team bonding events and activities.

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.

We are an Equal Opportunity Employer committed to diversity and inclusion in the workplace. At Signal, we believe that diversity of opinions, approaches and viewpoints is key to our innovation and success and we encourage that with our hiring, development and rewards practices. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristics by law and take actions to eliminate those from our workplace.