15 Jan
Ohio,
Cincinnati
, 45201
Cincinnati
USA
Vacancy expired!
Data Engineer Level 3Req # 2661: build and deliver tools and data assets for Digital Analytics team and other end business users. Digital Data Scientist will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products (SQL Server/Data Lake). Automation scoring/customer segments using SAS, R, SQL, Tableau, and Python or matching learning techniques. Develop and Automate ad-hoc, regular (monthly/weekly) cadence reports for the customers using above techniques, improve and extend the features used by our existing cube. Candidate should know how to examine new data system requirements and implement migration models. The ideal candidate will also have proven experience in data analysis and management, with excellent analytical and problem-solving abilities. Participate in the design, development, and delivery of business-centric data & analytic solutions, including large scale data blending and integration. • Expert in common data science toolkits, such as R, SAS, Tableau, Python, Machine learning and predictive Analytics• Good applied statistics skills, such as distributions, statistical testing, regression, etc. and problem-solving skills• Hands on experience in a wide array of technology and data products in both traditional and big data space (Netezza, Hive/Impala, SQL Server preferred). Also Good scripting, programming skills and Proficiency in query using those languages.• Expertise in visualization/BI tools (PowerBI/Tableau/QlikView) and data wrangling tools(Alteryx/Datameer)• Experience in design, development and delivery of business-centric analytic solutions, including relational databases, data marts, data load processes and reporting applications• Experience in analyzing, designing, developing and operationalizing data assets• Experience in data & analytic process automation• Knowledge of diverse and emerging technologies and new architectural concepts and principle• Selecting features, building and optimizing classifiers using machine learning technique• Enhancing data collection procedures to include information that is relevant for building analytic systems• Processing, cleansing, and verifying the integrity of data used for analysis• Doing ad-hoc analysis and presenting results in a clear manner• Creating automated anomaly detection systems and constant tracking of its performance
Vacancy expired!
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