Data Science Developer Mid Level Growth Opportunity or Sr Role

Fantastic hybrid role in DC (work on site only on Mondays) with a robust and fun team that is taking the news and global information applications to important new heights. You'd be joining a team that has grown and thrived for more than 50 years.

If you're a skilled and creative thinker who wants to help shape the future and have ongoing learning on the job with growth and a supportive team, please send your resume today.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
• Experience/knowledge of employing statistical and data science for real-time software applications.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Work with product team, data science team, and data engineer team to analyze product features, track user behaviors to drive feature enhancement or new feature development.
• Design and implement automated reporting solutions across multiple teams and stakeholders.
• Work with data engineer team on daily data quality monitoring and data validation. Create documentation and reports on data quality and data validation.
• Support cross-functional teams on the day-to-day reporting, visualization, and data analysis execution of different implementations.

Qualifications

• Bachelor's Degree from a US-Based college or university, specializing in Data Science or Computer Science.
• Retrieving and analyzing data using SQL/Python from SQL or NoSQL databases such as SSMS, Postgres, MongoDB, Cassandra, etc.
• Hands-on knowledge of data modeling tools, data mapping tools, and data profiling tools.
• Experience with and theoretical understanding of algorithms for supervised and unsupervised modeling such as classification, regression, clustering, recommendation engine, and anomaly detection.
• Experience in Python programming and familiarity with Python libraries such as numpy, pandas, scikit-learn, etc.
• Experience with object-oriented/object function scripting languages: Python preferable.
• Strong in BI technologies: e.g. Microsoft Power BI (preferable), Tableau, Google Analytics.
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets; Azure Cloud experience preferred.

PLEASE NOTE:

• Visa sponsorship is not available.
• Must be willing to work on-site in DC on Mondays (remote Tue-Fri).
• Must have a college or university degree from a U.S.-based computer or data science program.