Data Scientist

• Exploratory and targeted data analyses using descriptive statistics and other machine learning methods such as classification (supervised learning), clustering or association (unsupervised learning) or deep learning/AI (neural network).
• Analytic prototyping, scaling and solutions integration.
• Work with data engineers on data quality assessment, data cleansing and data analytics.
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Share and discuss findings with team members.
• Work alongside software developers and software engineers to translate validated algorithms into commercially viable products and services.
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Proven awareness of feature extraction and real-time analytics methods.
• Good scripting and programming skills.
• Demonstrated awareness of analytic prototyping, analytic scaling, and solutions integration.
• Experience with common data science packages such as R, Python, SparkML, TensorFlow, Pandas, NumPy, MatLab, etc.
• Experience working with Jupyter notebooks and other IDE(s).
• Good organizational and problem solving skills.
• Good team player who is a self-starter and well organized.
• Strong oral and written communication skills.

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