SENIOR DATA SCIENCE ENGINEER

Being the first company to focus on predictive optimization and forecasting for the cargo and transport industry, we are confident, that we are chaining the business domain for good.

We developed Big Data predictive analytics SaaS to create accurate shipping demand forecasts and suggest the most optimal transport plan. We use statistical algorithms, data mining, and machine learning techniques to solve some of the most complex problems in the cargo and transport industry.

By joining our excellent team of qualified experts, you will get the chance to deepen your knowledge about the logistics industry and the latest trends in artificial intelligence, software development, and implementation.

Currently, we are looking to hire an experienced SENIOR DATA SCIENCE ENGINEER to join our Data Science team.

YOUR JOB WILL BE TO:

• Design, Develop, and implement a framework for the implementation of repetitive automated data science models and algorithms deployed in production;
• Collaborate with product and engineering teams to identify and prioritize opportunities to improve our solutions;
• Conduct research to stay up-to-date with the latest developments in the implementation of data science and machine learning; techniques in production in both cloud and server-based environments;
• Develop proof-of-concept and prototypes to demonstrate the feasibility and value of new technologies;
• Design and implement experiments to validate models and algorithms;
• Lead and mentor data scientists and enhance their general software engineering skill sets and tools;
• Communicate insights and results to stakeholders across the organization;
• Participate in product design and requirements reviews to ensure that data science requirements are incorporated;

WE EXPECT YOU TO HAVE:

• A degree in a relevant area (Computer Science, Statistics, Applied Mathematics, or related field);
• At least 5 years of experience in software engineering and data science fields;
• Strong knowledge of software engineering of scalable (vertical and horizontal) production systems related to data science applications; such as statistical modelling, machine learning, and optimization techniques;
• Excellence with programming languages – Python is a plus;
• Strong knowledge of design patterns, OOP, multithreading, and databases;
• Good experience in building processes and automated deployments;
• Excellent problem-solving and analytical skills;
• Strong mentorship skills;
• Excellent verbal and written communication skills;
• Broad knowledge of our current technological stack (Linux, PostgreSQL, Java Enterprise Python, R, Docker) is an advantage;
• Experience in big data is a plus;
• Familiarity with the transportation and logistics industry and related data sets is a plus;

WE OFFER:

• Building a product that will dramatically optimize the cargo industry – this is our way of “changing the world for the better”;
• Be challenged by technically complex problems in the fields of big data, predictive analytics, and machine learning;
• Learn from a strong international team of 40 people (the majority with a very deep technical background) where you are appreciated and where your opinion matters;
• Opportunity to grow quickly together with the company, develop your skills and share your ideas directly with the management board;
• Have fun along the way in a dynamic, creative, and friendly atmosphere without the burden of office politics;
• Competitive salary, convenient office location in the center of Sofia (metro station nearby), 25 days paid annual vacation, flexible working hours, and an opportunity to work from home when needed. Most of our team members work fully remotely;
• Health Insurance and subsidized Multisport card;

TRANSMETRIC COMPANY CULTURE

Transmetrics is an evolving and dynamic company with an ambitious international team – our office language is English. We aim to be the best and while working hard, we are having a good time together. We value teamwork, creativity and result-oriented thinking.

Our culture is all about attracting and retaining talent. We reward excellence so there are fantastic opportunities for the right candidate! If you are one who wants to contribute to our success, in a young dynamic team, and be a part of the digital lifestyle movement we kindly invite you to apply here or to send your CV and other details.

Only short-listed candidates will be contacted for an interview.

Your application will be treated with confidentiality. By providing your data, you explicitly agree that it will only be processed for the recruitment process.