Data Scientist-Speridian Technologies – Speridian Technologies

Speridian was born with a vision that is centered around relationships and delivery excellence.

A core principle of Speridian has been the willingness to go the distance, to exceed expectation beyond technology by focusing on business solutions.

At the core our value is based in commitment and competency, the depth of our relationships and an advisory leadership role that is focused on finding value for our partner clients.

Data Scientist responsibilities include :

• Interpreting data, analyzing results using statistical techniques
• Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
• Acquiring data from primary or secondary data sources and maintaining databases

Job brief

We are looking for a passionate certified Data Scientist, The successful candidate will turn data into information, information into insight and insight into business decisions.

Data Scientist Job Duties :

Data scientist responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data scientist will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Responsibilities

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities

Requirements and skills

• Proven working experience as a Data Scientist or Business Data Analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Hadoop is a must)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Bachelors in Mathematics, Economics, Computer Science, Information Management or Statistics