Currently, we are looking to hire a Python Developer to join our amazing team of Data Scientists.
As a Python Developer within the Data Science Team, you will play a pivotal role in creating cutting-edge software products that streamline operations, enhance efficiency, and drive innovation within the logistics sector. Your expertise in Python programming and data manipulation will be instrumental in developing robust algorithms, predictive models, and analytical tools to address complex challenges in logistics and transportation.
Your job will be to:
- Collaborate with data scientists and domain experts to design, develop, and implement algorithms that power forecasting, route optimization, demand planning, and resource allocation solutions for logistics operations;
- Leverage your proficiency in Python to preprocess, clean, and analyze large datasets derived from diverse sources such as – historical records, GPS/IoT data, and sensors and enable data-driven decision-making;
- Contribute to the development of machine learning models for predictive analysis, such as demand forecasting and vehicle routing;
- Engineer and transform features from raw data, ensuring that input variables are optimized for model training and predictive accuracy;
- Write efficient, modular, and maintainable Python code that adheres to best practices. Document your codebase comprehensively to enable seamless collaboration within the team;
- Collaborate with cross-functional teams to integrate data science solutions into the company’s software products, ensuring seamless interaction between front-end interfaces and back-end algorithms;
- Continuously enhance the performance of algorithms and models, focusing on scalability and efficiency, to handle real-time data streams and large datasets;
- Conduct testing and validation of developed models and algorithms, ensuring their accuracy and reliability in real-world logistics scenarios;
- Stay updated with the latest trends in data science, machine learning, and logistics optimization. Contribute innovative ideas and explore emerging techniques to solve complex logistics challenges.
We expect you to have:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field;
- Proven experience as a Python Developer, ideally with a focus on data science or machine learning.
- Strong proficiency in Python programming, including libraries such as NumPy, Pandas, Scikit-Learn, and multiprocessing.
- Familiarity with data manipulation, data preprocessing, and feature engineering techniques.
- Experience in developing and deploying machine learning models is a plus.
- Knowledge of optimization algorithms, graph theory, and/or operations research is an advantage.
- A strong understanding of CI/CD principles and experience with relevant tools is an advantage.
- Excellent problem-solving skills and the ability to work within a collaborative, cross-functional team environment.
- Strong communication skills to convey technical concepts to non-technical stakeholders.
What 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;
Join us and help us build our products:
- SaaS offering with a high degree of business and technical complexity;
- Implements predictive analytics on big data;
- Includes both transactional and analytical (star schema) data stores;
- Involves substantial ETL (Extract-Transform-Load) functionality;
To apply, please send us your CV in English at firstname.lastname@example.org. Only short-listed candidates will be contacted for an interview (usually within 1 week).
Your application will be treated with confidentiality. By providing your personal data, you explicitly agree that it will be processed for the purpose of recruitment.
Why Transmetrics is a great place to work
Work that Matters
On top of them, you get 25 days paid annual vacation, flexible working hours, an opportunity to work from home when needed, additional health insurance and a convenient office location in the centre of Sofia.
Learn from a strong international team of 35+people (majority with a very deep technical background) where you are appreciated and where your opinion matters.
Transmetrics grabbed my attention with the fact that it is a Bulgarian startup with the mission of making the world a cleaner and eco-friendly place through its innovative products. The thing that still holds my attention though is that the company is relatively small and there are still no strictly defined boundaries between different job positions. Especially important for a young person like me is to be always curious, to try a little bit of everything, to learn new things not only in depth, but also in breadth, in order to find the thing that I am really passionate about and to specialize in it. And I believe Transmetrics is the perfect place to do this!
At Transmetrics I have the opportunity to apply my knowledge in math and programming to various real-world problems. The logistics industry still works in an old-school way, and I feel like there is a lot to be done in automating and optimizing the operations. It eventually results in lowering the traffic and decreasing the CO2 emissions, which is a big motivating factor for me because of the positive impact my work can have on the planet.
At the beginning I was dubious whether to leave the big international corporation for a small scale-up company, but this turned out to be one of my best decisions, since I truly found my place! Transmetrics has a strong corporate culture and values, promoting a feeling of belonging and acceptance. People are free to express their opinion, to learn and share and to make an impact. Our products solve real-world problems and people in the company are extremely smart and colorful! I cannot miss mentioning the coziness of the small home-like office and the board game Fridays that are so much fun!
I choose to work at Transmetrics because I have the ability to contribute to the development of real and promising solutions for the logistics industry. I want to know that my work matters and it could improve my company and make the business of our clients more efficient, which is exactly the case of Transmetrics. On top of that, I appreciate the excellent working conditions such as 25 paid days annual vacation, office in the very center of Sofia, and many others.
After more than six years of living in the UK and in Spain for my studies, I found the best learning environment in a small Bulgarian company. In fact, joining Transmetrics at the beginning of 2022 has proven to be one of the best decisions I have ever made: I now work and grow in the most incredibly bright, motivated, creative and friendly team. I am excited that our daily tasks are full of yet to be solved real-world challenges and that we are devoted to making the world a better (optimized) place.
Why did I change cozy Vienna with rapidly developing Sofia? Because I wanted to make a real impact. I used to play football as a kid. Currently, at Transmetrics I feel like playing in the Champions League. We apply the most innovative technological solutions and work with the biggest companies in the world. We compete with Silicon Valley companies, founded by Stanford graduates and Google employees. Despite that, we gradually make our way to the finals. A company to be proud of.