Data Scientist (All genders)
Read straight from Diconium's careers page, verified 22h ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationBucharest; Cluj-Napoca; Iasi
Work modehybrid
SeniorityMid
Experience4+ yrs
Company size1,001–5,000 people
PostedOct 28, 2026 · 1w ago
Verified live22h ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Physics, Economics/Econometrics, or a related quantitative field
At least 4 years of relevant work experience
Proven experience in machine learning and AI, with a focus on practical applications
Strong proficiency in Python and the scientific stack (pandas and/or polars, NumPy, scikit-learn, statsmodels, gradient boosting such as XGBoost), writing clean, tested, maintainable code (pytest, type hints, linting)
Strong understanding of statistical methods and concepts
Experience with time-series and panel data, including seasonality, outliers and structural breaks
A rigorous, hypothesis-driven approach to analysis: forming and testing hypotheses with reproducible scripts and reporting negative or inconclusive results honestly
Ability to work independently and collaboratively in a fast-paced environment
Excellent communication skills with the ability to present complex technical concepts clearly
Hands-on experience with cloud ML platforms, ideally AWS (SageMaker, S3), and experiment tracking (e.g. MLflow)
Fluent English
Domain knowledge in pricing, revenue management, or the automotive industry
Experience with price elasticity / demand modelling or causal ML libraries (e.g. EconML, DoubleML)
Experience with model interpretability (SHAP), hyperparameter optimization (Optuna) and data validation (pandera, Pydantic)
Experience with model monitoring, recalibration and data/concept drift analysis
Experience with data processing in Spark and Databricks
Experience with data visualization, dashboarding tools or simple frontends for visualization (Streamlit, Dash, Tableau, PowerBI)
Experience deploying ML/AI models into production environments
Familiarity with Git-based workflows, Poetry, pre-commit, CI, containerization (Docker), and AI coding assistants / spec-driven development
Ability to write clear technical reports (Markdown, LaTeX)
Previous experience in the consulting/service industry
Skills
Python
pandas
polars
NumPy
scikit-learn
statsmodels
XGBoost
pytest
AWS
SageMaker
S3
MLflow
EconML
DoubleML
SHAP
Optuna
pandera
Pydantic
Spark
Databricks
Streamlit
Dash
Tableau
PowerBI
Git
Poetry
Docker
Markdown
LaTeX
Benefits
Health insurance
Pension plan
Flexible hours
Remote stipend
Join our global team of experts
At Diconium, you will work on projects that connect software, data, AI, and human expertise to create digital products, services, and operating models that deliver measurable business impact. Together with 2,500 experts across our international teams, you will help build, run, and scale intelligence across the full value chain.
In everything we do, we prioritize people and genuine human connections, ensuring a supportive and inclusive work environment. Our hybrid workplace also provides a high degree of flexibility.
WHAT YOU CAN EXPECT
•
Build and evolve causal ML solutions for pricing, in particular price elasticity estimation with Double Machine Learning (DML).
•
Collaborate with cross-functional teams (data engineering, pricing experts, client stakeholders) and take end-to-end ownership of analyses, translating business questions from our clients into well-identified ML/AI solutions.
•
Own periodic model recalibrations across markets and brands: rerun pipelines on new data windows, compare results against previous runs, and explain results.
•
Extract valuable information from large, heterogeneous and often imperfect data sources, and detect data-quality problems.
•
Evaluate model performance and iteratively improve accuracy and efficiency.
•
Communicate findings and insights effectively to both technical and non-technical stakeholders.
•
Contribute to a production-grade, config-driven Python codebase using modern engineering practices (testing, typing, code review, spec-driven development, AI-assisted coding).
WHAT YOU BRING ALONG
Must have skills:
•
Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, Physics, Economics/Econometrics, or a related quantitative field.
•
At least 4 years of relevant work experience.
•
Proven experience in machine learning and AI, with a focus on practical applications.
•
Strong proficiency in Python and the scientific stack (pandas and/or polars, NumPy, scikit-learn, statsmodels, gradient boosting such as XGBoost), writing clean, tested, maintainable code (pytest, type hints, linting).
•
Strong understanding of statistical methods and concepts.
•
Experience with time-series and panel data, including seasonality, outliers and structural breaks.
•
A rigorous, hypothesis-driven approach to analysis: forming and testing hypotheses with reproducible scripts and reporting negative or inconclusive results honestly.
•
Ability to work independently and collaboratively in a fast-paced environment.
•
Excellent communication skills with the ability to present complex technical concepts clearly.
•
Hands-on experience with cloud ML platforms, ideally AWS (SageMaker, S3), and experiment tracking (e.g. MLflow).
•
Fluent English
Nice to have:
•
Domain knowledge in pricing, revenue management, or the automotive industry (list vs. transaction prices, discounts and incentives, financing/leasing, model lifecycles).
•
Experience with price elasticity / demand modelling or causal ML libraries (e.g. EconML, DoubleML).
•
Experience with model interpretability (SHAP), hyperparameter optimization (Optuna) and data validation (pandera, Pydantic).
•
Experience with model monitoring, recalibration and data/concept drift analysis.
•
Experience with data processing in Spark and Databricks.
•
Experience with data visualization, dashboarding tools or simple frontends for visualization (Streamlit, Dash, Tableau, PowerBI).
•
Experience deploying ML/AI models into production environments.
•
Familiarity with Git-based workflows, Poetry, pre-commit, CI, containerization (Docker), and AI coding assistants / spec-driven development.
•
Ability to write clear technical reports (Markdown, LaTeX).
•
Previous experience in the consulting/service industry.
WHAT WE HAVE TO OFFER
Discover new skills and improve your strengths, adapt your working day to your personal lifestyle, celebrate community, sustainability and diversity. And sweeten your working life with awesome perks and benefits!
Professional & Personal Growth: Develop yourself both professionally and personally through training programs, free language courses, competence centers and an active tech community.
Flexible Work-Life Balance: Benefit from hybrid work, workation, flexible hours, parental support and sabbaticals.
Embrace Diversity & Sustainability: Engage in our Sustainability Hub, diverse communities, Diversity Taskforce and after-work activities.
Comprehensive Benefits: Enjoy public transport tickets, job bikes, access to exclusive Volkswagen employee conditions when leasing or purchasing a vehicle, health offers, supplementary insurances, a pension plan and various discounts.
WHAT WE VALUE
Legal
At Diconium, we value and recognize the unique perspectives and experiences of each individual. With this in mind, we welcome and cherish every single application equally. At the same time, we stand up against any type of discrimination and harassment based on gender, age, skin color, religion, sexual orientation, origin, disability, gender identity and other protected characteristics.