Data Scientist (offline)

Our clients:
Amerіcan multіnatіonal corporatіon іn the food іndustry, manufacturer of soft drіnks and other food products.
Corporatіon іs a manufacturіng company headquartered іn Raleіgh, North Carolіna.
Amerіcan retaіler that owns a chaіn of household goods stores.

The team іs lookіng for Data Scіence Engіneer іn the Kyіv, Kharkіv and Lvіv offіce.

As a leader of the Data Science team, you will run the development of next-generation platforms for customers micro-segmentation, clusterization, behavior analysis, and prediction as well as building up new improved recommendation systems for the customers.
You will use your expertise to design data science models and frameworks, data processing pipelines, and lead efforts of the ML models productization.

You will use project management skills to manage the deliverables and ensure all stakeholder work is complete on time. You will also manage stakeholder communications and present your project across a wide spectrum of management levels.

Lead Data Scientist is supposed to handle complex problems independently and demonstrate analytical thinking. At this position, you should be able to make judgments and recommendations based on the analysis and interpretation of data.

The position requires excellent communication skills and experience working directly with technical teams as well as with business stakeholders. Being able to present findings in a meaningful and clear way is a must.


Lead a team of skilled data scientists and data engineers
Drive the collection, cleaning, processing, and analysis of new and existing data sources.
Communicate with business stakeholders to clarify their requirements and present the teamwork results.
Learn & stay current on developments in one or more analytics domains: Optimization, Machine Learning, Deep Learning / AI, Simulation, etc.


Data scientist with 5+ years of experience
Solid understanding of Statistics, Machine Learning and Deep Learning
Hands-on experience in Python
Experience with Recommender Systems (Content-Based, Collaborative Filtering, Hybrid, Market Basket Analysis, Repeat Purchase)
Experience with look-alike modeling and sequential-input models, RNNs (LSTM, GRU, etc.)
Expertise in building, productionising and scaling analytics solutions for big data problems
Experience with SQL databases
Familiarity with cloud ML Platforms (Google AI Platform, Amazon Sagemaker, MS Azure AI Platform) is a plus.
Hands-on experience with data preparation, cleansing, feature engineering, and visualization
Great communication and presentation skills. Proven ability to present progress made by the team to senior business management and the project stakeholders.
Understanding of and experience with customer intelligence & marketing domains a plus.
Experience in working across different global cultures a plus

Company offer:
Opportunity to work on bleeding-edge projects
Work with a highly motivated and dedicated team
Flexible schedule
Medical insurance
Benefits program
Corporate social events
Professional development opportunities

About Capital Recruiters

Capital Recruiters is a IT recruiting agency that was established in 2007. We are successfully developing in executive and specialist level staff search, assessment and recruitment for the leading national and foreign companies.

Supported by our professional and life experience, we focus on the best recruitment practices for executive, middle management and specialist level search in Kiev and Ukraine. We keep enhancing our procedures and dynamically evolve side by side with our clients.

Adherence to tight deadlines is one of our main principles. We always do our best to deliver results in the shortest possible time according to our Clients’ staff policy regulations.

Capital Recruiters is referred as a trustful partner in recruitment. We guarantee strict confidentiality of any personal data that is entrusted to us during our cooperation.

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  • Category: Data Science
  • Data Science, Python, Deep Learning, Machine Learning
  • English: Intermediate
  • 3 years of experience
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    Office/Remote of your choice
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