As Head of Data Science, you will be responsible for leading the development of advanced features for premier Business Intelligence applications. The work will range from hypothesis testing, data experimentation, and model building to predictive and prescriptive analysis, development of modeling algorithms and prototypes, data integration and ETL design. You will work with our experienced software engineering team to deploy your work to production and have it be used by dozens of major corporations such as FedEx, US Bank and MasterCard to help drive their business goals and services to their customers.. Your Impact. You will work on various projects in the creation of artificial intelligence/data science applications that are based on leading problems in the analytics community today. You will collaborate with a group of fast-paced, dedicated coworkers who are passionate about extracting value from data and using it to improve business outcomes. Everyone on the team has a voice and we are open to new ways of thinking - your opinion will be encouraged and valued.. Roles & Responsibilities include:. Complex data analysis, hypothesis testing, data preparation, product prototyping and development of prognostic models for the platform based on modern statistical methods.. Supporting the engineering and product management teams in development efforts.. Identify problem areas and develop plans to overcome any issues to ensure that the project of it is achievable.. Contribute to the development of the data science prototype framework.. Use systems and internal processes efficiently and integrate these in daily work. Maintain high IT literacy and technical and specialist requirements for further deployment of the framework.. Be part of a highly-effective agile organization. Demonstrate an ability to do more with less, with a history of identifying and exploiting opportunities for efficiency improvements.. Qualifications. Minimum MS or PhD degree in Engineering, Computer Science, Mathematics, or Statistics, plus >=5 years work experience.. Experience in data analysis and multivariate statistics.. Deep understanding of physics, mathematics, computer science or similar, or several years of research and application experience in Machine Learning, Deep Learning or Reinforcement Learning.. Excellent analytical skills and strong statistical knowledge, as well as interest in applying them to complex problems.. Familiarity with Java, Scala, R, and/or Python. Understanding of Big Data architectures and solutions such as Spark, Hadoop and/or column oriented SQL databases.. Excellent communication skills. Information Builders helps organizations transform data into business value. Our software solutions for business intelligence and analytics, integration, and data integrity empower people to make smarter decisions, strengthen customer relationships, and drive growth. Our dedication to customer success is unmatched in the industry. That's why thousands of leading organizations rely on Information Builders to be their trusted partner. Founded in 1975, Information Builders is headquartered in New York City, with offices around the world, and remains one of the largest independent, privately held companies in the industry.. Information Builders, Inc. is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment and will not be discriminated against based on their race, gender, disability, veteran status, or other protected classification.. Glassdoor has millions of jobs plus salary information, company reviews, and interview questions from people on the inside making it easy to find a job that's right for you.
Associated topics: data analyst, data analytic, data engineer, data manager, data quality, data warehouse, database, erp, sql, sybase

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

Launch your career - Upload your resume now!

Upload your resume

Loading some great jobs for you...