Junior Data Scientist

METTLER TOLEDO

Tiel, Netherlands

17 days ago

Apply on www.werk.nl

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Starter

Experience required

1 year minimum

Working hours

Regular working hours

Job source

www.werk.nl

Tech stack

Business Analytics Applications Data Analysis Data Cleansing R (Programming Language) Python (Programming Language) Machine Learning NumPy SQL Databases Unstructured Data Model Validation Pandas Scikit Learn

+1 more

Information Technology

Job description

Support the Global Pricing team in their mandate to understand and optimize commercial performance across all products, services, and geographies
Inventory, then assess, internal data practices and tools used by the group with the intention of improving: efficiency (doing more in less time), accuracy (higher confidence results), and flexibility (leverage existing data assets more fully to drive more business insights to internal stakeholders).
Develop new, and optimize existing, predictive analytics and machine learning models.
Interact with other data specialists across the company in different functions to harmonize best practices and gain access to larger pool of available data.
Mentor and train members of Global Pricing in current “state of the art” data practices and techniques.
Be able, willing, and eager to show quantifiable results.
Other duties may be assigned. What You Need to Succeed

Requirements

Bachelor’s degree required (master’s preferred) in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Finance, Operations Research, or a related quantitative discipline.
1-3 years of experience in Data Science, Analytics, Pricing Analytics, Business Analytics, or a related field.
Experience working with large structured and unstructured datasets using SQL, Python, R, or similar analytical tools.
Strong proficiency in Python and common data science libraries (Pandas, NumPy, Scikit-learn).
Knowledge of statistical analysis, predictive modeling, machine learning, and model evaluation techniques.
Experience with data preparation, cleansing, transformation, and feature engineeri…