Junior Data Scientist with BI Skills SynergisticIT
San Antonio, TX3 days ago
- $79,000–$136,000 Per Year
- Full-time
- Instant Apply
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Skills
- Agile Programming Methodologiesunmatched
- Algorithmsunmatched
- Amazon Web Services (AWS)unmatched
- Analysis Skillsunmatched
- Apache Hadoopunmatched
- Apache Hiveunmatched
- Apache Sparkunmatched
- Bayesian Networksunmatched
- Best Practicesunmatched
- Big Dataunmatched
- Business Analysisunmatched
- Cloud Computingunmatched
- Communication Skillsunmatched
- Computer Scienceunmatched
- Data Scienceunmatched
- Deep Learningunmatched
- Elasticsearchunmatched
- Forecastingunmatched
- GCP (Good Clinical Practices)unmatched
- Gitunmatched
- GitHubunmatched
- Graphical User Interface (GUI)unmatched
- HDFS (Hadoop Distributed File System)unmatched
- Interpersonal Skillsunmatched
- Machine Learningunmatched
- Mathematicsunmatched
- Mercurialunmatched
- Microsoft Windows Azureunmatched
- Natural Language Processing (NLP)unmatched
- Natural Language Toolkit (NLTK)unmatched
- Operational Communicationsunmatched
- Operations Researchunmatched
- Python Programming/Scripting Languageunmatched
- R Programming Languageunmatched
- SQL (Structured Query Language)unmatched
- Source Code/Configuration Management (SCM)unmatched
- Statisticsunmatched
- Structured Dataunmatched
- Subversionunmatched
- Support Vector Machinesunmatched
- Test Plan/Scheduleunmatched
- Unstructured Dataunmatched
Description
Data Scientists: Machine Learning,Pytorch,SQL
(Exp: 10 to 12 years)
Job responsibilities:
Education: Bachelor's Degree or master's Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, Engineering etc.) or equivalent experience
(Exp: 10 to 12 years)
Job responsibilities:
- Responsible for coding and testing customized analytical models of medium to high degree of complexity.
- Must be able to implement best practices when writing and testing code.
- Familiarity with the life cycle of a data science project and extensive experience with python is a must.
- Requires strong interpersonal and communication skills, operational Elasticsearch knowledge and ability to construct GUI interfaces
- Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business.
- Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs
- Proven experience in developing models using Regression, Decision trees, Bayesian networks, Random Forest, Logistic regression, Support vector machine, Gradient boosting algorithms, Clustering algorithms and Dimensionality Reduction Algorithms.
- Proven experience in building and implementing Timeseries and forecasting models.
- Experience in Deep Learning model development using TensorFlow, Keras, PyTorch
- Hands on experience in building ML workflows
- Experience in Model implementation, Governance, and monitoring.
- Responsibilities include Performing the code development of complex analytic algorithms and paradigms, perform a clear breakdown of the analytic functionality and separate it into working modules.
- Working experience in Python, R and SQL
- Experience in Python data science packages such as numPy, SciPy and SciKit-learn
- Fluent with Natural Language Processing and text analytics libraries (NLTK, SpaCy)
- Experience with Data Science Platforms (Dataiku, H2o, Azure…)
- Experience with one of Subversion/SVN, Git, GitHub, GitLab, Mercurial, or other version control system
- Experience with cloud platforms AWS, Azure, GCP a plus
- Knowledge in Big Data, Hadoop, HIVE/HQL, HDFS, Spark/PySpark, Kafka
- Familiar working in an AGILE environment
Education: Bachelor's Degree or master's Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, Engineering etc.) or equivalent experience
Numbers & Facts
| Location | San Antonio, TX |
| Industry | Other/Not Classified |
| Company Size | 100 to 499 employees |
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