Candidates 96
$7000 / mo
≈ $84000 / year net
Lead Data Scientist / Engineering Manager
Ukraine · Kyiv · 6 years of experience · Advanced/Fluent ·Published today
Ukraine · Kyiv · 6 years of experience · Advanced/Fluent ·Published today
Data scientist with 6 years of experience.
Skilled in natural language processing, math, software development. Worked on many problems including text clustering, text classification, topic modelling, event detection, named entity recognition, image segmentation, image classification, object detection.
Technical skills:
Python, Numpy, Pandas, Scikit-Learn, Gensim, NLTK, spacy, transformers, PyTorch, mmdetection, git, Docker, bash, Doccano, streamlit, VSCode, flask, dash, plotly, GRPC
Languages:
Ukrainian (native), English (Advanced)
Willing to work as an EM.
$4000 / mo
≈ $48000 / year net
Computational Linguist / NLP Specialist
Ukraine · Kyiv · 5 years of experience · Advanced/Fluent ·Published today · In passive search
Ukraine · Kyiv · 5 years of experience · Advanced/Fluent ·Published today · In passive search
$6000 / mo
≈ $72000 / year net
Computer vision / Deep learning engineer
Ukraine · 8 years of experience · Intermediate ·Published yesterday
Ukraine · 8 years of experience · Intermediate ·Published yesterday
6 years of experience in Image processing algorithms development. Deep learning implementation for image processing, segmentation, classification, object detection (segnet, u-net, yolo, resnet, mobilent).
Video processing and streaming with devices that have limited computing capabilities (raspberry).
Working with custom cameras from lens elements calibration to video streaming. (Python)
2 years of working on mobile app project related to maps (flutter).
1.5 years of experience in deep learning/computer vision (C++).
Technologies: git, linux, bash, docker, redis, NATS, fastAPI, flutter, maps.
Cloud services: azure, google, aws.
Libraries: openCV, numpy, gstreamer, picamera2, tensorflow, pytorch, scikit-learn, scikit-image, pandas, scipy, gdal, fastAPI, pydantic.
Served as a team lead in several projects (3+ years).
Languages: python (main), C++ (secondary).
Designed and implemented several imagery/video data processing projects from scratch.
Developed flutter mobile application for working with map.
$4000 / mo
≈ $48000 / year net
Data Scientist | ML Engineer | Data Analyst
Ukraine · 5 years of experience · Upper-Intermediate · 🪖 DFU combatant ·Published yesterday
Ukraine · 5 years of experience · Upper-Intermediate · 🪖 DFU combatant ·Published yesterday
$8000 / mo
≈ $96000 / year net
Data Scientist/Quantitative Analyst
Ukraine · Kyiv · More than 10 years of experience · Advanced/Fluent ·Published yesterday · In passive search
Ukraine · Kyiv · More than 10 years of experience · Advanced/Fluent ·Published yesterday · In passive search
Data Scientist, 2020 - present
Corporate bonds pricing and trading
Wrap Technologies, New York, NY
Data Scientist, 2018 - 2020
Developing and integrating ML and AI components
Fort L.P., New York, NY
Director - Research, 2013 – 2017
Futures and equities trading
Toro Trading LLC, New York, NY
Director - Volatility Trading, 2011 - 2013
Options market making
Cutler Group, New York, NY
Director - Volatility Trading, 2010 – 2011
Options market making
Vtrader Group, Chicago, IL
Quantitative Analyst - Volatility Trading, 2007 – 2010
Options market making
Third Millennium Trading, Chicago, IL
Quantitative Analyst - Volatility Trading, 2003 – 2007
Options market making
Timber Hill / Interactive Brokers, New York, NY
Analyst, 2000 – 2002
Options market making
“Volatility arbitrage visualization using augmented reality”
“Understanding VIX Futures and Options”
“Trading with Leveraged and Inverse ETFs”
$3500 / mo
≈ $42000 / year net
Data Scientist Machine Learning Researcher
Ukraine · Kyiv · 6 years of experience · Intermediate ·Published 20 April · In passive search
Ukraine · Kyiv · 6 years of experience · Intermediate ·Published 20 April · In passive search
PIVIST LLC (FinTech) | April 2018 - November 2023
1) Worked with machine learning tasks, used technical analysis and feature engineering, based on stock market knowledge.
2) Explored models for:
Anomaly detection.
Deep Learning: Recurrent NN (RNN, LSTM), Convolution NN(CNN), MLP, transfer learning, autoencoder, reinforcement learning. Machine Learning: Random Forest, gradient boosting machine(GBM), XGBoost, K-means, SARIMA, GARCH, PCA, linear model.
Natural Language Processing: text classification, sentiment analysis, embedding. Used models from the site hugging face (FinBert, Bert).
3) Developed trading strategies based on model forecasts machine learning, deep learning.
4) Target Engineering.
5) Trading algorithms.
Delphi Developer
Radionix (MilTech) | October 2017 - March 2018
1) Development and improvement of object search algorithms on video, infrared and radio spectra.
2)Optimization of algorithms for modeling the trajectory of object movement.
3)Filtering (purification) of signals from noise.
About me:
I have been working as a Data Science for over 5 years. I have experience in time series analysis and forecasting, tabular data analysis, Computer Vision, NLP. I understand the principles of machine learning (ML) and deep learning (DL). I am interested in new technologies and algorithms for training models. Learning quickly. I am engaged in self-development, I read various articles in the field of data science.
Programming in Python (Spyder IDE)/ R(RStudio IDE).
Use libraries: NumPy, pandas, joblib, mutliprocessing, pickle, Matplotlib, Plotly, seaborn, H2O, Scikit-learn(sklearn) XGBoost, Keras, TensorFlow(TF), PyTorch, Transformer, NLTK
Оптимізував пошук target функції який відповідав потребам бізнесу.
Покращив точність моделі прогнозування поведінки ціни акцій компаній фондового ринку завдяки застосуванню NLP.
$8500 / mo
≈ $102000 / year net
senior data scientist; scientific computing/machine learning developer
Czechia · More than 10 years of experience · Advanced/Fluent ·Published 19 April · In passive search
Czechia · More than 10 years of experience · Advanced/Fluent ·Published 19 April · In passive search
15+ years: python(scikit learn,numpy, scipy, pandas, pytorch), development of machine learning, statistical and mathematical applications, algorithms of numerical analysis, signal processing, cryptocurrencies fraud detection
7 years: usage of mathematics, machine learning, statistics for various development tasks
3 years: c++/scientific computing/computational fluid dynamics
BSc in physics, MSc in math;
MEng in aerospace engineering from a top western school
I am currently based in Prague
social network analysis system to predict chosen parameters of network members, estimate the dynamics of information diffusion in a situation of limited knowledge of the structure of network. methods: log regression, NN, SVM, clustering algorithms, graph algos+custom solutions, Monte Carlo.
sports prediction systems
nonstandard recommender systems(ideas from math analysis).
signal processing+spectroscopy+machine learning
cyber threat detection systems.
non-standard and customized clustering algos, customized anomaly detection for computer vision.
crypto currencies anomaly detection.
predictive maintenance, synthetic models based on mechanical engineering equations and productionalization of algorithms.
matlab to python/c++ conversions.
VaR calculations
data science/machine learning, mathematical modeling, aerospace engineering
$2000 / mo
≈ $24000 / year net
Data Scientist
Ukraine · 5 years of experience · Upper-Intermediate ·Published 19 April
Ukraine · 5 years of experience · Upper-Intermediate ·Published 19 April
Devoloped trading strategy
Testing hypothesis
Training high frequency trading ML models
Conducting backtests of trained models
Creation of models for sentiment analysis of the text
Prediction of electricity generation project:
Parsing information from sites
Conducted data quality control
Create time-series forecasting models
Improving and optimizing existing models to improve accuracy and performance
Create shinyApp to display real-time forecasting results
$3500 / mo
≈ $42000 / year net
Data Scientist / Data Analyst
Ukraine · 9 years of experience · Advanced/Fluent ·Published 19 April
Ukraine · 9 years of experience · Advanced/Fluent ·Published 19 April
- Between 2017 and 2019, I have worked in Sweden as a Data Scientist at Ubisoft, a large video games publisher, for two years, building an Analytics and DS pipeline for a AAA game from scratch. That included designing tracking events, overseeing implementation, testing and usage for reporting.
- During my time in Sweden, I built a user segmentation ETL using Python, SQL, PySpark and Hive to cluster video game players using an unsupervised ML model - it was a combination of KMeans and AGNES. I presented my approach on 3 large DS conferences - one in Stockholm, one in San Francisco and one in Malmo. I have also built a recommendation engine to recommend in-game items to players using ALS algorithm.
- Between 2019 and 2021 I have been the first Data Scientist at a Warner Brothers video games studio in London - I have set up a Data Collection, Analytics and Reporting pipeline using Amazon Redshift, Airflow, Python and Looker from scratch, while also hiring, onboarding and managing a team of 4 analysts.
- I have also been a DS consultant to a US-based sports analytics startup for a 3.5 year period till it got acquired, where I was part of the team building entire DS pipeline from scratch.
• Deployed one of approaches above using Spark, Hive and Impala SQL thereby delivering weekly insights to several stakeholders on completely automated basis via Tableau dashboards and various reports.
• Presented other segmentation approach at Machine Learning Innovation Summit 2018 in San Francisco, Data Innovation Summit 2018 in Stockholm and Nordic Games 2018 in Malmö to audiences of 200-600 attendees
I really appreciate nice people, open communication, openness to feedback and flexibility.
$1700 / mo
≈ $20400 / year net
Senior Data Analyst / Report analyst
Ukraine · Kyiv · More than 10 years of experience · Upper-Intermediate ·Published 19 April
Ukraine · Kyiv · More than 10 years of experience · Upper-Intermediate ·Published 19 April
BI vs Tableua
Venta - построил предикт систему контроля остатков на отделениях. 5 млн грн/ год.
Unicredit group - наладил работу риск аналитики : рыночные, кредитные риски. Автоматизация оценки портфеля цб - 250 млн./ год.
НСЗУ - распределение субвенции и оплата первичной помощи, 2 млрд грн /мес.
Гос служба статистики - департамент цен, мониторинг цен на фарм препараты, продукты питания. Сбор данных о капитальном инвестировании по данным prozorro.
Kind regards, Nikolai.