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Senior Data Scientist #103

Location Norfolk, United States
Posted 11-August-2020

Senior Data Scientist for, Inc. to work at our Norfolk, VA loc. Lead efforts to ID operations to leverage data + new data sources to solve challenges associated with growth. Lead analytical + machine learning projects to improve business performance (eg, improved customer satisfaction, increased op efficiency, improved revenue generation, + other business outcomes). Lead extraction, integration, + analysis of data from heterogeneous sources to create insights + support recs to internal stakeholders. Navigate data infrastructure + implement ETL jobs so analysts + internal customers have access to data required for KPis + Bl reports. ID, research, + recommend internal process improvements such as automating manual process, optimizing data delivery, improving data vision. Design, create, implement, + maintain data pipelines, analytic workflows, + machine learning pipelines. Lead deployment of data science prods (eg, quant/stat analyses + machine learning model dev, AlB tests, ETU pipeline job failure alerts, monitor + eval model performance/data quality) to prod environments. Coordinate + contribute to design, implementation, maintenance, + growth of data lake + data warehouse serving as central data clearinghouse for all business analytics needs. Collab with Sales, Strategy + Finance, Technology, + Business Development teams to lead development + implement of new information services. Mentor Junior data scientists + perform ad hoc analysis. May undergo background checks incl drug screen and ref checks. Must have Bachelor in Mathematics, Statistics, Computer Science, or related field and 5 years relevant experience in data analysis or Master's in Mathematics, Statistics, Computer Science, or related field and 2 years relevant experience in data analysis. Also requires the following skills (2 years experience) in: using data science tools including R, Python, MLib, Apache Spark; accessing data stores including RDBMS, NoSQL, APIs/Webservices; large quantities of data and big data technology; writing high-quality and scalable code and integrating with version control systems; building complex analytical models and presenting results to stakeholders. Any suitable combination of education, training, or experience is acceptable.

Resume to (see below)

Awards & Accolades for MyTechLogy
Winner of
Top 100 Asia
Finalist at SiTF Awards 2014 under the category Best Social & Community Product
Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System
Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
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