Data Scientist at Mc2.pl

Mc2.pl; Kraków; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Remote work possibility

Development program

Stable work environment

Job summary

Mc2.pl in Kraków is seeking a Data Scientist to join our team on a full-time, on-site basis. You will design, build and validate user models for behavioural targeting while maintaining model quality and scalability.

The role requires knowledge of Bayesian statistics, data modelling, and modern ML concepts. Experience with Python or R and both SQL and NoSQL databases is essential. A remote-work option is available.

Qualifications

• Proven experience with data modelling methods and their application in business.
• Strong knowledge of Bayesian statistics and mathematical algorithms.
• Understanding of big data and machine learning concepts.
• Proficiency in Python or R and working with relational and non-relational databases.

Responsibilities

• Designing, building, validating and implementing models.
• Maintain model quality through optimization, updating and calibration.
• Ensure efficiency, stability and scalability of solutions.
• Detect data anomalies, identify sources of problems and propose solutions.
• Translate business requirements into data models.

Skills

Bayesian statistics

Data modelling

Big data concepts

Python/R

Relational & NoSQL databases

Tools

Hadoop

Hive

Spark

HDFS

Job description

Apply for Data Scientist at Mc2.pl in Kraków, ML, PL. This Full time on site position offers great opportunities for career growth.

About Us:

• We are a young but well-established company that develops data products and technologies for online market.
• We are looking for a data scientist to work with us permanently. He or she will work on user models in the area of behavioural targeting.

Key tasks:

• Designing, building, validating and implementing models
• Maintain high quality: models optimization, updating and calibrating
• Assuring efficiency, stability and scalability of the implemented solutions
• Detect data anomalies, identify source of problems and recommend solutions
• Translating business requirements to data models

Key requirements:

• Knowledge in mathematic algorithms and Bayesian statistics
• Experience in data modelling methods and their application in business
• Understanding of big data / machine learning concepts
• Knowledge of R / Python and relational and non-relational databases

Nice have:

• Experience with platforms like: Hadoop Hortonworks/ Cloudera, using toolsets of Hive, HDFS, Spark
• Knowledge of Linux system and script languages (Python, Bash, R);
• Exposure to work with behavioural data / online traffic
• Exposure to any of following topics: collaborative and content-based filtering methods, behavioural profiles / targeting, interest-based modelling
• Knowledge of online media industry would be an asset

We look for:

• Team-worker
• Problem-solving enthusiast

We offer:

• Stable work environment
• Remote work possibility
• Development program