Állás részletei
-
Cég neve
MSCI Kft.
-
Munkavégzés helye
Budapest -
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
-
Elvárások
- Angol középfok
- Nem kell tapasztalat
- Középiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Hasonló állásokról értesítőt állítottunk be!
Válogatást küldünk a hasonló lehetőségekről e-mailben, és app felhasználóinknak push értesítésben is.
Állás leírása
Responsibilities
- Co-design and implementation of QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
- Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets
- Building reusable QA tools in Python or R that can be automated and scaled across internal pipelines
- Collaboration with research teams, development team, and other stakeholders to optimize use of asset location data
- Contribution to model documentation, reproducibility, and version control of data science assets
Requirements
- Proficiency in Python or R including libraries such as pandas, numpy, scipy, scikit-learn, xgboost, lightgbm, pytest, great_expectations, pydantic or similar tools
- Familiarity with SQL
- Understanding of data quality dimensions including accuracy, completeness, consistency, uniqueness, timeliness
- Knowledge of exploratory data analysis (EDA) techniques
- Experience with automated testing of data pipelines, validation schemas, and data version control
- Experience working with cloud computing environments such as Google Cloud, Azure, or AWS
Nice-to-have
- Exposure to MLOps or reproducible science tools such as DVC, MLflow, Jupyter Notebooks
- Experience with geospatial libraries
What we offer
- Transparent compensation schemes and comprehensive employee benefits tailored to location
- Flexible working arrangements, advanced technology, and collaborative workspaces
- Culture of high performance and innovation
- Global network of talented colleagues
- Global Orientation program and access to Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities
- Multi-directional career paths offering professional growth and development
- Inclusive environment with eight Employee Resource Groups
- Competitive benefit package including voluntary pension fund contribution, life, accident and healthcare insurance, short-term disability/sickness benefit, yearly medical screenings, paternity leave, glasses contribution, travel reimbursement
- Cafeteria benefits including Széchenyi Recreation Card/SZÉP Card, tax free nursery/kindergarten benefit, voluntary healthcare fund contribution
Company info
MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
Állás, munka területe(i)
Álláshirdetés jelentése