Position: Data Science Team Lead
Company: 8allocate
Experience required: 5y
English level: upper

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
5-7 лет

Вид занятости
Полная, Удаленная

Владение языками
Английский – Upper-Intermediate

Требования
What skills/qualities are required:
— 2+ years as Team Leader, working with Agile methodologies
— 5+ years of industry and research experience in developing machine learning products
— Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions, and methodology to both internal and external customers
— Ability to frame business requirements into Machine Learning problems that you enjoy solving
— A strong predilection for good software and the processes that make it
— Mathematical foundation including: linear algebra, vector calculus, probability, and statistics.
— Experience implementing this math effectively in software (e.g. Python, numpy)
— Strong foundation in machine learning & deep learning concepts including: supervised and unsupervised learning, transfer learning, ensembling, classification, regression, clustering, bias & variance, regularization, overfitting & underfitting, Logistic & Linear regressions, Decision Trees, MLP, RNNs
— Strong foundation in natural language processing concepts including: bag-of-words & TF-IDF, n-grams, word & text embedding, NER, transformers, text classification & similarity
— Proficiency in Python and PyData stack (numpy, scipy, pandas, scikit-learn)
— Fluency with popular NLP libraries (spaCy, NLTK, transformers)
— Hands-on experience with Deep Learning frameworks such as PyTorch
— Experience working in a Linux environment
— Basic Git knowledge: creating and merging branches, cherry-picking commits, examining the diff between two hashes. More advanced Git usage is a plus, particularly: development on feature-specific branches, squashing and rebasing commits, and breaking large changes into small, easily-digestible diffs
— Experience with SQL
— Understanding of algorithm complexity and performance implications
— Knowledge of classical data structures and algorithms

Обязанности
What responsibilities & tasks will wait for you?
— Work closely with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context
— Provide mentorship to other ML engineers and Data Scientists in the team
— Be hands-on and involved with every stage of the ML product development cycle
— Design, extend and review ML experiments and solutions
— Evaluate, justify and communicate ML models’ performance to various stakeholders
— Write clean and tested code that can be maintained and extended by other fellow ML engineers
— Influence the Machine Learning development culture to be innovative
— Establish and extend standards and best practice for ML engineering
— Contribution to research activities in ML domain inside the company

Будет плюсом
Will be a plus:
— Degree in related field (Machine Learning, Data Science, Mathematics, Statistics, Computer Science)
— Familiarity with Knowledge Engineering, Graph technology, Knowledge Graphs, Graph Databases
— Machine Learning on graphs
— AWS, AWS SageMaker
— Kaggle experience

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!