Senior Data Scientist z Data Analytics @ eConsulting in eConsulting

What is the project?

Our client from the banking sector, dealing with Data Science and Data Analytics projects, is in the process of developing advanced dynamic pricing models and conducting extensive data analyzes as part of initiatives data-driven.

What will you do?

The role we are looking for combines the analytical skills of a data analyst with the technical expertise of a data scientist in a unique, strategically critical role pricing and data analysis. Your tasks will include, among others:

• designing, developing and maintaining dynamic pricing models
• exploratory data analysis (EDA)
• cooperation with product teams for technical translation of business requirements

Technologies used in the project: Python, R, SQL, AWS, SageMaker, XGBoost, Random Forest, Snowflake

< p> Technologies used in the project: Python, R, SQL, AWS, SageMaker, XGBoost, Random Forest, Snowflake

What do we expect from you?

• minimum 5 years of experience in Data Science and Data Analytics
• advanced skills in Python, R
• knowledge of machine modeling
• experience with AWS and SageMaker
• skills in working with SQL and data warehousing solutions

What is the project about?

Our client from the banking sector, dealing with Data Science and Data Analytics projects, is in the process of developing advanced dynamic pricing models and conducting extensive data analyzes as part of initiatives based on data.

What will you do?

The role we are looking for combines the analytical skills of a data analyst with the technical expertise of a data scientist in a unique, strategically critical role pricing and data analysis. Your tasks will include, among others:

• designing, developing and maintaining dynamic pricing models
• exploratory data analysis (EDA)
• cooperation with product teams for technical translation of business requirements

Technologies used in the project: Python, R, SQL, AWS, SageMaker, XGBoost, Random Forest, Snowflake

, [The role we are looking for combines the analytical skills of a data scientist with the technical expertise of a data scientist in a unique role that is critical to pricing strategy and data analysis. Your responsibilities will include, but are not limited to: designing, developing and maintaining dynamic pricing models, exploratory data analysis (EDA), working with product teams to technically translate business requirements]

Requirements: Python, AWS, R, SQL
Additionally: Sport Subscription, Private healthcare, Language courses, Integration events, Life insurance, Free snacks, Free breakfast, Kitchen.

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