JOB DESCRIPTION
The safety and security of CSC’s current and prospective employees, customers, and the communities we serve are our first priority.
Due to coronavirus (COVID-19) concerns, we have transitioned to virtual interviews for the foreseeable future. We look forward to all upcoming video and phone interview conversations with our prospective candidates.
We are always in search of top talent to join the CSC family. If you are looking for a career change, don’t hesitate to apply or reach out to us. We’ll have virtual interactions until we are able to move forward again with in-person interactions.
Data Scientist
Wilmington, DE
Job Overview:
The primary purpose of Data Scientist is to explore and utilize large data sets to find opportunities for product and process optimization. The ideal candidate must have strong experience using a variety of data mining/data analysis methods, data tools, building and implementing models, using/creating predictive algorithms and creating/running simulations. The candidate should have a proven ability to drive business driven data-based insights and must be comfortable working with a wide range of stakeholders and functional teams. The right candidate should have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Some of the things you’ll be doing:
● Work with various business units throughout the organization to identify opportunities for leveraging company data to drive business solutions.
● Work with business stakeholders to create a prioritized list of needs for each business segment.
● Ability to mine and analyze data from various data sources to drive optimization and improvement of product development, marketing techniques and business opportunities.
● Identify and recommend new ways to streamline business processes.
● Use statistical methods to depict trends, analyze data patterns in complex and large data sets to drive operational insights.
● Use predictive modeling techniques to increase and optimize revenue generation, Customer behavior patterns and other business outcomes.
● Develop processes and apply tools to monitor and analyze model performance and data accuracy.
What technical skills, experience, and qualifications do you need?
● Bachelor’s or master’s degree in computer science, Statistics, information systems, business or related field; or equivalent related experience.
● Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
● Experience working with data science tools such as Alteryx, Tensor Flow or SAP Predictive Analytics.
● Experience using machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
● Demonstrate leadership qualities and work independently with or without minimal guidance.
● Able to work independently with various stakeholders in gathering requirements and presenting data insights.
● Effective written and verbal communication skills for coordinating across teams.
● A drive to learn and master new technologies and techniques.
● 3+ years of experience manipulating data sets and building statistical models, and is familiar with the following software/tools:
● Knowledge and experience in statistical and data mining techniques.
● Experience creating and using advanced machine learning algorithms and statistics: regression, forecasting, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
● Strong experience in various databases such as Oracle, MS SQL Server etc. with PL/SQL programming knowledge.
● Strong exposure to ETL tools such as Informatica and MS SQL Server Integration services.
● Strong proficiency in visualizing/presenting data for stakeholders using Business Objects reporting suite.
● Exposure to 3rd party providers such as Google Analytics, D&B Customer data etc.
