Position: Data Scientist
Company: Fairmarkit
Experience required: 3y
English level: upper

In this role, you will work collaboratively with other data scientists and machine learning engineers to build models and systems that power our core products and address our core business needs. You will be involved at all stages in the development lifecycle, including problem framing, raw data collection and processing, model prototyping, and production code development and maintenance. If you have a passion for data, addressing difficult business critical problems, and building production systems, we’d love to hear from you.

**Responsibilities**:
Collect, transform, preprocess, and maintain terabyte-scale raw data for use in model development
Prototype ML models, balancing predictive accuracy with interpretability and maintainability
Write comprehensive tests to ensure that models are reliable and robust, and to prevent regressions due to model updates
Work closely with software engineers to build production systems to retrain, deploy, and serve models and related data products

**Technologies you will use**:
Python as the primary general purpose language
Data analysis and model development packages, specifically numpy, scipy, pandas, and scikit-learn
SQL for data investigation, ETL development, and monitoring
Deep learning frameworks such as tensorflow and pytorch
ML libraries such as lightgbm, and xgboost
Scraping tools such as scrapy, pyppeteer, splash, and beautifulsoup

**You must have**:
Bachelor’s degree in a highly technical field such as computer science, mathematics, statistics, or operations research
3+ years of professional experience as a data scientist or machine learning engineer 
Expertise in at least one data analysis environment such as Python (with numpy, scipy, and pandas) or R (with tidyverse libraries)
Experience developing production-grade ML models
Strong English proficiency and the ability to explain and document complex topics precisely
Strong statistical knowledge and intuition when working with real data

**You’ll impress us with**:
Advanced degree in a highly technical field such as computer science, mathematics, statistics, or operations research
Knowledge of experience with one or more of: natural language processing, text mining, recommender systems, and information retrieval.
Familiarity at least some of the following concepts/topics: BERT, GLOVE, LSTM, bagging, boosting, batch norm, bootstrap, jackknife, LDA, KL divergence, MAP, VC dimension, GC class, EM, NDCG

**A few reasons to work with us**:
Flexible working hours
Skilled and highly motivated teammates, passionate about technologies
Medical insurance
Referral program: we appreciate your recommendations and reward every successful hire
100% salary sick leaves covering, 20 days of paid vacation
Latest MacOs work equipment