Are you curious by nature? Do you always seek to understand human behaviors in your everyday life? Do you believe strategic communications can help make the world a better place? Do you think the world of research needs to change and adapt to a more complex and ever-evolving world? Do you have an entrepreneurial mindset and want to shape a consulting division? If so, Edelman Intelligence is looking for you to join our team!
Edelman Data & Intelligence is seeking a Director-level Data Scientist. The person in this role is will work to help drive our predictive analytics business by building out the Big Data / machine learning / AI capabilities of the Predictive Intelligence capabilities. This person will contribute significantly towards client deliverables, help develop new analytical approaches and offerings, and mentor more junior team members.

QUALIFIED CANDIDATES HAVE MOST, IF NOT ALL, OF THE FOLLOWING…

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• Academic background in data science, statistics including big data, machine learning, and AI

• Proficiency in languages like Python or R for data manipulation and analysis, preferably Pandas and Spark
• Proficiency to clean, transform, and manage data using SQL and other database technologies (Databricks, Snowflake, AWS, etc)
• Proficiency in tools like Tableau or PowerBI (even excel pivot and slicer dashboards) to create clear and informative visualizations
• Experience with the follow Python packages is helpful: XGBoost, statsmodels, numpy, pyspark, sklearn, matplotlib, seaborn, scipy, tensorflow, pytorch
• Proficiency to effectively communicate complex analysis to technical and non-technical audiences.
• Proficiency with external client relationship management and data story telling
• Excellent organizational and communication skills, coupled with the ability to adapt to new conditions, assignments and deadlines
• Knowledge of marketing, market research, and economics
• Strong understanding of statistical concepts and methods for data analysis

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• Assist in the leadership of day-to-day project execution, including client deliverables, status updates, and project management

• Efficiently manage data from disparate sources, distilling into datasets prepared for data science
• Execute statistical models to support client projects
• Prepare client facing material (example: PowerPoint slides and charts), distilling analytical insights effectively into stories for clients
• Develop standardized code and processes that can be easily used by the larger team
• Support senior staff in the development of client proposals
• Mentor junior analytics team members