Associate Data Scientist

Key Skills

Python Programming, Machine learning techniques, Deep Learning, Pandas, PyTorch, TensorFlow, Scikit-learn, Neural Networks

Job Description

About You

The Associate Data Scientist has a passion for unleashing the power of data to drive strategic decisions. 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, are highly familiar with the latest machine learning (ML) and natural language processing (NLP) techniques and tools, and 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. You are comfortable with ambiguity and hard problems and you thrive in fast-paced start-up environments, solving cutting-edge data challenges.

Primary Responsibilities

The Associate Data Scientist takes an active role in all of our customer-facing projects, helping to solve data and analytic problems. The Associate Data Scientist will be expected to collaborate across teams on both client deliverables and internal process priorities.

Specific responsibilities include:

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

Requirements

• Must have strong academic grounding or professional experience in machine learning and natural language processing
• Authorized to work in the US
• Must be able to work on US Government contracts that require US citizenship
• Degree in Data Science, Computer Science, Statistics, or Mathematics
• BS Degree with 1+ years of relevant experience with a proven track record of leveraging analytics and large amount 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
• 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
• Love working in a fast-paced, startup environment full of complexity, ambiguity and change

Additional Information

Protagonist is a values-driven company that is committed to doing meaningful work for organizations we respect. We are deeply committed to centering racial and gender justice in the work we produce, in our engagement with clients, and in our internal operations. We believe in the promise of democratic governance and the responsibility of civic participation, and are building a culture that supports these commitments.