Data Science Analyst

$70,000 - $100,000/Yr

Protagonist - Washington, DC

Full-time - Entry Level

Washington, DC

Professional, Scientific, and Technical Services

About the position

Join Our Talented Team at Protagonist! We fuse rigorous, methodologically sound analysis with our cutting-edge technology platform, Narrative Analytics®. This powerful combination enables us to quantitatively analyze open-source media, deliver strategic recommendations, and craft executive-level communication strategies for clients with missions that matter. Our team is a vibrant mix of communication specialists, data scientists, and subject matter experts with extensive experience across U.S. Government agencies, non-profit organizations, and Fortune 500 companies. By joining Protagonist, you'll immerse yourself in a collaborative environment where innovation thrives, and your contributions truly matter. As a Data Science Analyst, you will support the continued development of our Narrative Analytics® offering, finding and isolating the online media conversations that matter and curating powerful datasets that will drive success for our customers. You are deeply data-savvy, have outstanding statistics and analytic skills, and are highly familiar with the latest machine learning (ML) and natural language processing (NLP) techniques and tools. You are creative and enthusiastic about using technology, data, and the power of narratives to solve complex problems. You have a strong backing in data science concepts and text analytics, and you thrive in fast-paced start-up environments, solving cutting-edge data challenges.

Responsibilities

• Working with a range of media content aggregators and deploying a variety of scrapers, scripts, and other data mining tools to develop narrative-rich data sets to address customer needs.
• Employing state-of-the-art NLP machine learning methods to analyze large unstructured text-based datasets, extract topics, and build classification models.
• Using querying languages to clean and manipulate datasets.
• Conducting statistical modeling and predictive analysis to identify trends and insights.
• Collaborating with the case teams to visualize data insights in interactive dashboards that answer key client questions.
• Supporting our analytics approach to data and collaborating closely with Client Solutions teammates to deliver Narrative Analytics to our customers.

Requirements

• Authorized to work in the US.
• Must be able to work on US Government contracts that may be restricted to US citizens.
• Degree in Data Science, Computer Science, Statistics, or Mathematics.
• BS Degree with relevant internship experience with a proven track record of leveraging analytics and large amounts of data to drive significant business impact, OR: Master's Degree with strong, practical data analytics project experience or relevant internships.
• Proficiency with R and other statistical programming languages.
• Experience in programming languages like Python or SQL.
• Strong experience with Excel in particular advanced formula creation, data cleaning, and pivot tables.
• Strong academic grounding in a range of data science concepts, particularly machine learning and natural language processing.
• Hands-on experience in statistical analysis, machine learning, factor/cluster/regression analysis, and/or classification algorithms.
• Hands-on experience with predictive modeling techniques such as multivariate regression, logistic regression, time series, neural network, support vector machine, and random forest.
• Hands-on experience with data visualization platforms (such as Tableau, Looker, QuickSight, or Power BI).
• Understanding of how to apply data analysis to communications, marketing, and business strategy problems.
• Excellent interpersonal and presentation skills; able to communicate complex data problems with clarity.
• Able to work independently as well as part of a cross-functional team.
• Ability to meet tight deadlines, under pressure, with outstanding attention to detail.

Nice-to-haves

• Love working in a fast-paced, startup environment full of complexity, ambiguity and change.

Benefits

• Dental insurance
• Health insurance
• Paid time off
• Retirement plan
• Vision insurance