Senior Data Science Engineer

About the company

SoftServe Business Systems was founded in 2003. We aim high; our mission is to lead the digital revolution in the FMCG industry. It means delivering the best products & services possible that empower businesses to grow and improve efficiency.

Together with our customer who is a multinational, leading global brewer, and one of the world’s top five consumer products companies based in Leuven, Belgium we develop products for sales, marketing, and logistics with a focus on commercial function.

We expect to have a team of highly skilled professionals who will work on different projects in the SFDC domain and BI systems for the next few years.

Requirements

1. At least 3 years of relevant working experience as a Data Scientist
2. Proficiency in Python, including common Data Science toolkits & packages
3. Profound understanding of Machine Learning algorithms for classification & regression
4. Excellent command of techniques used in each stage of Data Science workflow: ETL, EDA, feature engineering, modeling, evaluation of learning algorithms
5. Good understanding of Descriptive and Inferential Statistics and knowledge of Data Visualization concepts and techniques
6. Upper-intermediate or higher English level and strong communication skills
7. Experience with Cloud Services

Will be a plus

1. knowledge and practical experience in the Design of Experiments or Online Recommendation Systems
2. experience with cloud platforms (e.g. MS Azure) and in scaling analytical products in general
3. experience in leveraging APIs to obtain external data – ideally from various social networks
4. Academic degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, Economics…)

Responsibilities

1. Prediction modeling & measurement: working with our Global Analytics Centers to further update, scale, and deploy these capabilities in support of increasing commercial KPIs
2. Model maintenance: maintaining and updating data pipelines, model health, and performance across multiple models across multiple markets
3. Live testing: extend the capabilities of our test-and-lean platform and support our internal clients in designing and executing experiments in the market
4. Online promotion engine: optimizing the promotion calendar, execution mechanics, and the level of personalization to increase conversion and enhance customer lifetime value
5. Collaborating with the Data Science team on constant improvement of tools and methodology

Please share your CV:

• Marta: mpavlik@softserveinc.com
• Olia: omoro4@softserveinc.com