Data Science Internship Program 2021

Location

Glendale, CA | United States

Job description

We are looking for forward-thinking data science enthusiasts who are interested in designing, developing, and optimizing impactful Advanced Analytics Solutions & Experiments. The Data Science Internship will provide a strong foundational knowledge and exposure to cutting edge technologies and techniques. We have multiple openings and offer both full-time and part-time engagements.

About Systech:

Systech is a modern Data and Analytics consulting firm, helping clients embed data -driven capabilities into their business operations. We offer end-to-end data engineering services and outcomes-basedanalytics solutions, todrive your business forward in the digital age. Systech has over 25 years of experience, delivering 1500+ projects to industry- leading brands across the world.

Some of the projects other interns have worked on: 

• Increased contribution and effectiveness of every marketing dollar through AI and ML – enabled modeling

• Detected fraud and compliance irregularities

• Implemented advanced ML and Deep Learning algorithms to prevent revenue leakage and illuminate new areas of opportunity for innovation

• Maximized revenue by optimizing products, services and offers mix

• Increased operational efficiency with optimized supply chain and demand forecasting

• Reduced patient readmission percentage and prevented penalties for a Skilled Nursing Facility

• Optimized effort/cost invested in reaching out to customer by predicting their propensity to respond

• Enabled effective operational decision-making through predictive modeling of ETA for Intermodal Transport Networks

At Systech, you will have the opportunity to:

• Implement enterprise-level machine learning solutions to solve business challenges using programming languages like Python and cloud platforms like Amazon Web Services

• Synthesize and leverage complex datasets to drive data strategy/execution and develop Proof of Concepts

• Design and develop dashboards to present predictions and insights

• Conduct advanced research for identifying and implementing latest analytics solutions

• Assist senior members to conduct comprehensive Machine Learning workshops/Webinars

• Work on case studies and white papers showcasing the power of advanced analytics

• Wrangle data and perform slice and dice analysis using SQL

• Understand a real-life business problem and try to solve it using Advanced Analytical solutions

The ideal candidate possesses one or more of the following:

• (Working towards) a degree in Business Analytics, Statistics, Data Science, Information Systems, Computer Science, or related field required

• Practical experience and expertise in applied statistics and machine learning methodologies (E.g. Classification, Regression, Clustering, Time Series Analysis, Hypothesis Testing, Dimensionality Reduction.

• Hands on experience using statistical programming languages like Python or R (Python Preferred)

• Experience with data exploration and visualization tools (for ex. Tableau, PowerBI)

• Strong SQL skills

• Experience with Database Management/Distributed Framework: AWS, Oracle, MySQL, SQL Server, Spark

• Knowledge in REST APIs, CI/CD and Docker

• Experience with Cloud platforms (AWS, Azure, etc.)

• Demonstrated ability to translate complex data sets into clear and actionable narratives, and the ability to communicate opportunities and challenges to multiple stakeholders

• Ability to think strategically and deliver optimized solutions under stringent deadlines

• Excellent communication, documentation, and presentation skills

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