ΘΕΣΕΙΣ ΕΡΓΑΣΙΑΣ

Senior Data Scientist

About Signal Maritime: Signal Maritime brings together shipping best practice with internet-age advanced analytics and management methods. Signal Maritime Services is focused on high-performance, sustainable commercial management and the creation of innovative pooling models providing flexibility, transparency, enhanced commercial performance and more fairly distributed returns. Using deep domain expertise and the latest in Machine Learning, we deliver solutions to shipping professionals that allow them to make better decisions, faster.

About the role: 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. The role will join the Shipping Intelligence team, which supports Signal Maritime by providing data science and analytical capabilities.

What you will do in this role:

  • 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 concise 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.

What you bring to the team:

  • 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
  • Experience in working with data wrangling on large datasets (SQL/NoSQL)
  • 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)

What we offer:

  • Competitive compensation with additional performance incentives.
  • Coverage under the company’s collective health insurance plan.
  • Opportunity to work alongside experienced people with deep knowledge in software engineering, data science & 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 (750 to 2000 EUR annually depending on seniority) 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.

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ΕΠΙΚΟΙΝΩΝΙΑ

Οικονομικό Πανεπιστήμιο ΑΘηνών
Γραμματεία: Μαριάνθη Ψηλού
Ευελπίδων 47α, ΤΚ-113 62, Αθήνα, Ελλάδα

  • +30 210 820 3690
  • +30 210 820 3634
  • athensmba@aueb.gr

 

Εθνικό Μετσόβιο Πολυτεχνείο
Γραμματεία: Βέρα Τζίμα
Ηρώων Πολυτεχνείου 9, ΤΚ-15780, Ζωγράφου, Ελλάδα

  • +30 210 772 3695
  • +30 210 772 3698
  • athensmba@central.ntua.gr

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