Currently, we are looking for a Senior Data Scientist.

Project: enterprise level AI empowered Business Applications to the data intensive organisation, next generation Enterprise AI Operating system which will be the world’s most advanced and most comprehensive product for Digital Transformation.

Опыт работы
3-5 лет

Вид занятости
Полная, Удаленная

Владение языками
Английский – Upper-Intermediate

What skills/qualities are required:
— MS or higher in the following areas: Statistics and Mathematics
— At least 3-5 years of professional industry experience, in addition to your academic experience
— Outstanding quantitative analytical ability
— Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
— Independent and creative approach to problem solving
— Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
— In-depth knowledge of Statistics/Probability/Machine Learning
— General Statistical concepts such as hypothesis testing, estimation, inference
— Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
— Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
— Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
— Strong programming experience in Python and one of the following: Scala/Java, R
— Understanding of algorithm complexity and performance implications
— Knowledge of data structures and algorithms
— Good knowledge of Knowledge Engineering
— Good knowledge of Graph technology, Knowledge Graphs, Graph Databases and Ontologies
— Experience with SQL

What responsibilities & tasks will wait for you?
— Work closely with the Product Management team and Platform engineers to anticipate company needs and quickly put state-of-the-art mathematical tools into the hands of end user
— Translate real world problems into quantitative language
— Find or create algorithms to solve those problems, and implement them in code
— Strive to maintain rigorous scientific and engineering standards
— Work on the full data science pipeline, bringing solutions from basic research all the way to production

Будет плюсом
Will be a plus:
— Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
— Familiarity with R Shiny framework is a plus

Условия работы
Work Schedule:
You can work from 9 am till 6 pm or from 10 am till 7 pm.

Why choose us?
— “Family and Friends”. We are no longer a start-up, but still, have a family atmosphere in our supportive and spirited team, who are all working together on the same goal.
— “Just break down all barriers and find a better way”. Every day you’ll meet with interesting and challenging (international) projects that are covering industries from commercial aviation to fintech (different technologies, different products).
— “Hungry for learning”. You will get a lot of chances for career advancement and the development of new skills, opportunities for mentorship, or learning from more experienced colleagues.

Benefits from 8allocate:
— You’ll work in a supportive and spirited team of professionals.
— Corporate events, holidays and team buildings for your joy.
— Training and development: we have a huge library (about 500 books!) and a budget for your professional development.
— People-oriented management without bureaucracy.
— Paid vacation and sick leaves.
— Relocation program: if you are from another city and want to move to Kyiv, we will be happy to help you!

About 8allocate

We are a boutique provider of tech outsourcing and staff augmentation solutions for custom web, mobile, and enterprise software development. Our mission is to give you talent and resources for effective digital transformation and better software delivery to end-users. Augment your in-house/onshore software team with high-caliber pre-vetted tech talent or build a dedicated development team from scratch in our offshore R&D Centers to better meet your short-term and long-term business goals.

Company website:

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