Senior Data Scientist - ML & Advanced Analytics

AWS Solutions Architects

Experience designing and implementing distributed applications, networking, infrastructure, or database architecture. Proficient in on‑premise to cloud migrations and IT transformations. Skilled in architecting and operating solutions built on AWS. Strong presentation skills and ability to communicate at executive, IT management, and developer levels. Excellent communication skills with the ability to level conversations appropriately. Demonstrated ability to adapt to new technologies and learn quickly.

Strong knowledge of advanced statistical methods, Bayesian learning techniques, pattern recognition, outlier detection, decision trees, random forests, neural networks, and deep learning. Familiarity with script‑based data visualization tools such as ggplot, matplotlib, Shiny, or D3. Proficient in machine learning or statistical modeling tools like R, SAS, MATLAB, or Python (scikit-learn, Theano). Computer process proficiency and familiarity with languages such as C/C++, Java, C#, SQL, Perl, Python, UNIX, shell scripting, distributed/parallel computing, and regular expressions.

Experience conceptualizing large‑scale data solutions using Hadoop, Teradata, Sybase IQ, Microsoft Analytics Platform System (Client), IBM Netezza, and related technologies.

Will develop and support enterprise reporting and analysis tools using Tableau, Cognos, Qlikview, SSRS, and other BI applications. Responsible for each stage of the end‑to‑end report development lifecycle, including design specifications, development, optimization, enhancement, production maintenance, and user documentation. Works with internal customers to understand business objectives, constraints, and reporting requirements, and communicates status, issues, and changes to appropriate audiences. Tracks and communicates changes in reporting platforms and data sources to larger BI and IT teams.

Requires strong analytical, quantitative, problem‑solving, and organizational skills; attention to detail; and ability to coordinate multiple tasks, set priorities, and meet deadlines.

Develop complex data extracts, applications, and ad‑hoc queries for internal and external customers using SQL, SSIS, Informatica toolset (Powercenter, B2B with MFT). Maintain production BI products, resolve issues, and respond promptly to priority problems. Research, troubleshoot, and resolve data issues impacting extract delivery. Partner with Business Systems Analysts to understand requirements, ensure data quality, and align with core system transaction results.

Experience with SQL Server, Transact‑SQL, SSIS, C#, XML, Informatica, and managed file transfer automation (FTP, SFTP, PGP).