SKILLS WOULD LIKE TO DEVELOP
Machine Learning, Python, Deep learning, Natural Language Processing
- ДЛЯ КОМПАНИЙ
- ПОИСК
- ПРЕИМУЩЕСТВА
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- КАК ЭТО РАБОТАЕТ
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- БЛОГ
Русский
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Senior Data Scientist
7+ years experience in Data Science, Machine Learning, Exploratory Data Analysis
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TALENT TYPEOn Hold
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EMPLOYMENTFull-time
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EXPECTED SALARY$3,500 / month
CLOSED TO OFFERS FOR THE NEXT
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Дней -
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Часов -
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Минут
EXPECTED SALARY
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IN THE CURRENT LOCATION$3,500 / month
REQUIREMENTS FOR NEW WORK
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TYPE OF EMPLOYMENTFull-time
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AREAS OF INTERESTArtificial Intelligence, BigData, Data and Analytics, Outsourcing
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SIZE OF A COMPANY2-10 employees, 10,000+ employees
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REMOTE WORKPossibly
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RELOCATION WITHIN UKRAINENo
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RELOCATION ABROADNo
SHORT DESCRIPTION
Highly experienced Senior Data Scientist (Ph.D.) with 7 years experience in Data Science, Machine Learning, Exploratory Data analysis.
KEY EXPERTISE / RESPONSIBILITIES
- Leading Data Science team
- Development & maintenance of automated decision-making systems (Machine Learning)
- Analytical ability and common sense in data scientist projects
- Building credit risk and fraud detection models
- Developing algorithms to increase quality of search, ranking, query intent understanding, etc
- Data acquisition and prototyping in Pyspark
- Performance estimation
- Developed algorithms for real-time implementation preparation
- Decision-making process (online lending companies) development & automation
- Building models for decision-making & prediction (e.g., scorecards)
- Statistical & business analysis
- Research and development
- Market risks management (liquidity risk, exchange-rate risk, interest rate risk)
- Big Data processing (using Spark), work with AWS services
- Data preparation (intensive work with databases, XML, RegExp)
- Preprocessing incomplete and incorrect data
- Supervised models building (linear & logistic regression, XGBoost, SVM, random forest, etc)
- Unsupervised models building (clustering techniques, etc.)
- Text retrieval and natural language processing basics
- Image recognition basics
- Ranking problems
- Features generation and dimensionality reduction
- Exploratory data analysis and statistics
- Building credit risk and fraud detection models
- Performance analysis (AUC, confusion matrix, generalization issues, etc.)
PROFESSIONAL INFORMATION
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CURRENT CAREER LEVELSenior
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YEARS OF WORK EXPERIENCE11 years
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YEARS IN IT FIELD7 years
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MAXIMUM NUMBER OF SUBORDINATES3
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FIELDS OF WORKBanking/Finance, Data and Analytics, Software Development
PRIMARY SKILLS AND KNOWLEDGE
- Mathematics | 11 years | Active
- Probability Theory | 11 years | Active
- Matlab | 11 years | Active
- Data Acquisition | 9 years | Active
- Data Processing | 9 years | Active
- Data Analysis | 9 years | Active
- Machine Learning | 7 years | Active
- R | 6 years | Active
- Financial Modeling | 6 years | Active
- Credit Scoring | 6 years | Active
- Python | 2 years | Active
- Spark | 1 year | Active
- Risk Management | 5 years | Not Active
- C | 5 years | Not Active
- C++ | 5 years | Not Active
OTHER SKILLS AND KNOWLEDGE
Industry Knowledge:
- Systems Analysis
- Financial Analysis
- Banking
- Business Process
- Software Development
- Programming
- OOP
- Risk Management
- Financial Risk
- Data Mining
- Algorithms
- Requirements Analysis
- Statistics
- Mathematical Modeling
- Business Analysis
- Analytical Skills
- Data Analysis
- Market and credit risks
- Microeconomics basics
- Accounting
- Probability theory
- Statistics
- Time series
- Optimization
- Control theory
Tools and Technologies:
- UML
- SQL
- XML
- VBA
- SPSS
- Microsoft Excel
Other Skills:
- Data Science
- Apache Spark
- Fraud Detection
- Natural Language Processing (NLP)
- Big Data Analytics
- Credit Scoring
- Regular Expressions
- Logistic Regression
- Support Vector Machine (SVM)
- Random Forest
- XGBoost
- Problem statement and formalization
- Documenting results
- Communicating with stakeholders
LANGUAGES
Ukrainian - Native
Russian - Native
English - Upper-intermediate
EDUCATION
Academic Degree
PhD, Control Systems and Processes
COURSES AND CERTIFICATES
Certifications:
- Computing for Data Analysis
- Machine Learning