Senior Data Science

Location:

Poland

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Your responsibilities:

  • End-to-End Model Ownership: Drive the entire machine learning lifecycle, from exploratory data analysis (EDA) and advanced feature engineering to model training, validation, deployment, and post-launch monitoring for performance and concept drift.
  • Problem Formulation: Translate ambiguous business requirements and domain challenges into well-defined technical problems, testable hypotheses, and robust machine learning solutions.
  • Rigorous Experimentation: Design, test, and validate multiple modeling approaches to find the optimal solution, establishing clear and relevant evaluation metrics that directly align with business goals.
  • Technical Implementation & Deployment: Utilize our Triple AI SageMaker environment to efficiently train, deploy, and manage scalable models in a production setting.
  • Data Storytelling & Visualization: Communicate complex model outputs and data-driven insights through compelling storytelling and clear visualizations, empowering business stakeholders to make informed, data-backed decisions.
  • Product-Oriented Mindset: Develop a deep understanding of the business domain and product vision, ensuring that your work is not just technically sound but also delivers tangible and measurable value to the end-user. 

We are looking for you, if you have:

  • Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • 3+ years of hands-on professional experience in a data science role focused on building and deploying machine learning models.
  • Strong proficiency in Python and its core data science libraries (e.g., pandas, NumPy, scikit-learn, Matplotlib/Seaborn).
  • Solid proficiency in SQL for complex data querying, transformation, and analysis.
  • Experience building models for business applications such as forecasting, classification, clustering, or regression.
  • Familiarity with at least one major cloud platform (AWS, GCP, Azure).
  • Proven experience implementing and managing model monitoring systems to detect data and model drift in a production environment is highly desired.
  • A forward-looking interest in the application of Generative AI, with an enthusiasm to learn how to combine LLMs and other generative techniques with traditional machine learning as part of your professional development in the role.
  • Hands-on experience with MLOps principles and tools (e.g., MLflow, Kubeflow, feature stores). 

We offer:

  • Participation in interesting and challenging projects
  • Flexible working hours
  • A great, non-corporate atmosphere
  • Stable employment conditions (contract of employment or B2B contract)
  • Opportunities for development and promotion
  • Attractive package of benefits
  • Remote work

We reserve the right to contact the selected candidates.

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Why is it
worth joining TTMS?

1

Flexible working hours

Not everyone is comfortable operating a company during the standard 9 a.m. – 5 p.m. hours. We have been successfully running projects for many years despite diversified work patterns.

2

Possibility of remote work

At TTMS, desk-to-desk work is what drives us, but we understand if someone prefers a remote or hybrid model. We are equipped with all the necessary tools to perform either at home or in the office.

3

Great, non-corporate atmosphere

Professionalism, attention to the quality of work and a friendly, informal atmosphere are not mutually exclusive. A flat structure and natural, friendly relationships create the basis for creativity and innovation.

4

Interesting, international projects

We create solutions for medium and large companies, we are present in Poland, Malaysia, Denmark, the UK, Switzerland, and India – the effects of your work will travel around the world. In TTMS you have an influence on the company’s success.

5

Together towards climate neutrality

We select subcontractors to minimize the carbon footprint, organize bush plantings, save peat bogs – all to achieve climate neutrality in 2025. We are glad that we are attracting more and more people who also care about sustainable development and environmental protection.

6

Friendly offices

Our offices are modern spaces that inspire employees and are environmentally friendly. Białystok is the kingdom of Marvel superheroes, Krakow is a soothing tropical forest, Wrocław is an art gallery, and the Lublin branch is a rock “hall of fame”.

Would you like to work for us?

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