Data Scientist
6 months ago
**Responsibilities and Duties**:
- Selecting features, building and optimizing models using machine learning techniques
- Data mining using state-of-the-art methods
- Extending company’s data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
- Adopting new research methodologies including deep learning on projects.
**Required Skills**:
- Excellent understanding of machine learning techniques and algorithms
- Proficiency with Python/R for production-ready code.
- Experience with common data science toolkits, such as R for modeling, Python & Java for production-ready code. Excellence in at least one of these is highly desirable.
- Experience with data visualization and extracting insights from them.
- Proficiency in using query languages such as SQL, Learning in the area of NLP, predictive models & recommendation engines is a big plus
- Crunch a large volume of data, observe trends and build scalable & analytical models.
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Data-oriented personality
- Good knowledge of databases like NoSQL, MongoDB, Postgresql, etc.
- Perform Exploratory Data Analysis and Statistical Analysis; clearly present the results of an analysis to customers and management.
- Experience with AWS, Google Cloud is a plus
- Exposure with deep learning algorithms is a big plus
**Preferred Qualifications**
- A bachelor’s degree in a relevant field such as Computer Science, Technology or Engineering.
- At least 1 years of working experience as a Data Scientist.
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