Position: Data Science Team Lead
Company: 8allocate
Experience required: 5y
Category: Data Science
English level: upper
Published: 2021-07-01T00:00:00+03:00

**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 **Data Science Team Lead**. 

**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 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

**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

**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

**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!