data scientist.

The company offers continuous opportunities for development in a modern and dynamic work environment, as well as:

• Competitive remuneration package, cash perk, and annual bonus scheme.
• Hybrid working schedule
• Health insurance coverage and pension plan.
• Wellness perk.
• Cutting-edge IT equipment, mobile and data plan.

In this role, you will play a crucial part in leveraging data to drive strategic decisions and enhance the operational efficiency of our clients. The main duties of the position include:

• Data Transformation: Transforming raw data into meaningful information to support business strategies and decisions.
• Analysis & Mining: Data mining (extracting usable data) and analyzing large amounts of information to find patterns and solutions.
• Machine Learning: Using Machine Learning tools to create/optimize classifiers and develop prediction systems.
• Cleaning & Processing: Preprocessing structured and unstructured data, processing, cleaning, and validating the integrity of data.
• Collaboration & Presentation: Working closely with internal/external stakeholders, and graphically presenting the results of the process.
• Proposals: Proposing solutions and strategies to tackle business challenges.

To qualify for the role, the following are required:

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related field.
•  At least 3 years of proven work experience as a Data Scientist.
•  Extensive experience in data mining, interpreting, data cleaning, and machine learning.
• Advanced programming skills – Knowledge of R, SQL, and Python.
• Working experience with Microsoft Azure Technology and Databricks or similar technology.
• Very good knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.).
•  Very good applied statistical skills (statistical tests, distributions, regression, maximum likelihood estimators, etc.).
• Data Visualization & Wrangling experience.

.3+ years of experience as a Data Scientist

Got any questions regarding this position? You can contact Konstantinos Adamopoulos at 6940080281, from Monday to Friday. Otherwise, feel free to contact me at kadamopoulos@randstad.gr.

We look forward to receiving your application, uploading your updated CV by clicking the 'apply now' option.

In case that your application advances to the next stage, you may be automatically invited to submit a video, answering a few interview questions.

Please note that for transparency and equity reasons, only those applications made online via our site will be assessed. After the screening of all the CVs received, we will only contact the candidates who meet the requirements of the job to arrange an interview. ​All applications are considered strictly confidential.