Senior Data Scientist

Key Skills

Apache Cassandra, Apache Flink, Apache Hadoop, AWS, Computer Vision (CV), Dash framework, Data science techniques, Docker, FastAPI, Flask, Kubernetes-K8s, Machine learning techniques, matplotlib, MLOps tools, Natural Language Processing (NLP), NumPy, OpenCV, Pandas, Python Programming, PyTorch, Scikit-learn, SciPy, SQL, XGBoost

Job Description

Key Responsibilities

• ML systems design, development, and deployment
• Development of ML and DL models for a variety of different business areas
• Data collection, set up, and control data annotation workflow
• Establishment and maintenance of MLOps workflows
• Exploratory data analysis and visualization
• Developing and testing research ML hypotheses - A/B testing, statistical testing
• Direct communication with English-speaking customers

Qualifications

• 4+ years of proven hands-on experience in at least one of the sections: NLP, CV, Audio(Signals, Time-series), Tabular Data
• Confident knowledge of Python 3.8+
• Knowledge of Numpy, Pandas, Dash, Matplotlib, OpenCV
• Hands-on experience with main ML libraries (sci-kit learn, LightGBM, CatBoost, XGBoost, scipy Pytorch 1.x and 2.x, Tensorflow 2.x)
• Deep and fluent knowledge of PyTorch for practical tasks
• Knowledge of MLflow, ClearML, w&b, Apache Airflow, and Tensorboard will be a plus
• Core knowledge of statistics - from basic approaches to Bayesian inference, readiness to dive into technical details of each ML model you work with
• Ability to read and implement scientific ML articles
• Version and dependencies control systems: git, poetry, pyenv, bash
• Fluent SQL skills
• Experience with Docker/Kubernetes
• Experience with Flask/FastAPI

About us

At Vention, we assemble senior-level, dedicated teams of developers to help fast-growing startups and innovative enterprises drive impact and achieve their goals. We’ve delivered solutions across multiple domains, including fintech, proptech, adtech, healthtech, e-commerce, and more.

Our Data team works with clients to create data platforms from scratch or modfy and update existing platforms. The tech stack depends on the project, but we mainly use Spark (along with Scala, Python, or Java) — as well as Apache Kafka, Apache Cassandra, Apache Hadoop, Apache Parquet, and AWS.

Internal knowledge transfer activities are conducted within the Data Engineering Family (which includes data practice & data competency) — it is a space for all of our specialists to share their experiences, learn new skills, host meetups, mentor others, and more.

Benefits

Our culture is rooted in the belief that ongoing growth benefits employees and the company alike. Because of that, we offer:

• An individualized approach to career development, tailoring growth plans to every role
• Access to our technology mentorship program as a mentor or mentee
• The opportunity to contribute to up to 300 original projects in 30 different fields

And that's not all! We also offer:

• Expanded medical support for employees in Tashkent
• 19 working days of vacation per year, 21 after two years in the company
• Сonferences & meetups, organized by our company
• Corporate getaway & teambuilding activities
• Pizza days, office gatherings, and more from our Employee Happiness team
• Support for the significant events in your life
• Access to discounts across a variety of stores, restaurants & cafes through a corporate discount program
• And referral bonuses