Lead - Data Scientist - IT

1. Key Purpose Statement - Core mission:

- The key purpose or core mission of the Data Scientist position is to drive Data science with our client's business and build statistical and ML based KPIs, and insights.

2. RESPONSIBILITIES:

Responsibilities, Job description in details (5-8 key statements):

- Design & implement Data science and Machine learning models for key business KPI forecast

- Support the data analytics team in improving analytical models with data science-based insights

- Develop and provide MLOps framework on Microsoft Azure for deploying ML models

- Setup a mechanism to integrate the ML based inputs into DWH available for reporting

- Develop prediction workbench for customer behavior, revenues, campaigns

- Develop real time models for understanding the impact of marketing campaigns

- Apply ML and automate data models of forecasting, distributions, attributions, and segmentation

- Cooperation with: All divisions and countries within our Client

3. KEY DIMENSIONS:

- Data Science

- Statistics

- Machine Learning

- AI

4. REQUIREMENTS - KNOWLEDGE, SKILLS AND EXPERIENCE

a. Education (High/University), language knowledge (level of EN, CZ, .. ), length of practice and experiences required:

(Specific academic qualifications, length and type of experience required to perform competently)

- A degree in Computer Science / Information Technology

- Fluent communication skills in English both written and verbal

- Team player who can share experience with the team and grow them technically

- High quantitative and cognitive ability to solve complex problem and think with a vision

b. Qualifications, knowledge of "XY", specific technology; hard and soft skills required:

- 3 + years of experience in programming and data science, MLOps and automation of models

- Sound practical knowledge of working with advanced statistical algorithms

- At least 5 years of experience of working in data roles

- Great understanding of all machine learning techniques and its application on business problems

- Strong business understanding. Worked in developing analytics solutions in 3-4 domains