Senior Data Scientist (offline)
8allocate is a global provider of end-to-end custom software development solutions to companies all over the globe, from North America to the EU to Israel to Australia.
Headquartered in Estonia, we run offshore R&D centers in Kyiv and Lviv. Our team is 50% remote and distributed. We specialize in flexible interaction exclusively with international clients (we cover industries from commercial aviation to fintech) thanks to a multinational support group of experts and management.
Currently, we are looking for a Senior Data Scientist.
Project: enterprise-level AI Business Applications to the data intensive organization, next generation Enterprise AI Operating system which will be the world’s most advanced and most comprehensive product for Digital Transformation.
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 the 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
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 that 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
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
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!
Headquartered in Estonia, we run offshore R&D centers in Kyiv and Lviv. Our team is 50% remote and distributed. We specialize in flexible interaction exclusively with international clients (we cover industries from commercial aviation to fintech) thanks to a multinational support group of experts and management.
Currently, we are looking for a Senior Data Scientist.
Project: enterprise-level AI Business Applications to the data intensive organization, next generation Enterprise AI Operating system which will be the world’s most advanced and most comprehensive product for Digital Transformation.
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 the 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
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 that 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
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
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 SoftServe
SoftServe — це глобальна IT-компанія з українським корінням. Ми займаємось консалтингом, розробляємо програмне забезпечення та трансформуємо глобальні корпорації, ISVs та компанії Fortune 500. Архітектура та розробка, бізнес-аналіз, проєктний менеджмент, штучний інтелект та ще багато іншого – так ми надаємо талановитим людям змогу змінювати світ.Головні факти про SoftServe:
- засновані у 1993 році
- 13 000+ працівників
- 41 офіс у 12 країнах
- 20 000+ ІТ-проєктів для клієнтів із США, Європи та держав APAC
- 81 eNPS – індекс задоволеності та лояльності співробітників
- 7 ексклюзивних партнерів: Amazon Web Services, Google Cloud, Microsoft, Salesforce, Apigee, MuleSoft, and VMware
- People Excellence, платформа для професійного розвитку SoftServe
- SoftServe Університет: 5002 навчальних рішення та доступ до курсів Udemy Business
- IT Academy – програми для старту твоєї кар’єри в IT
- Благодійний фонд "Відкриті очі"
А ще ми — люди. Ми автентичні. Любимо щире спілкування із запальними дебатами та дружніми жартами. Уникаємо типової однобічної корпоративної комунікації та бурмотіння ІТ-кліше.
Ми ті, хто змінює світ та реагує на його зміни. Космополіти. Ми вільно говоримо англійською. Любимо виклики, бо кожен виклик — це можливість стати кращими, ніж були вчора. Щодня.
Маєш ідеї за рамками? Рамок нема. Рости з нами!
Company website:
https://www.softserveinc.com/uk-ua
DOU company page:
https://jobs.dou.ua/companies/softserve/
The job ad is no longer active
Job unpublished on
16 August 2021
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