Data Science Director, Bluelabs
$130-160k
Data science & analytics firm
Job no longer available
Data science & analytics firm
21-100 employees
Job no longer available
$130-160k
21-100 employees
Company mission
BlueLabs' mission is to help organizations improve the efficacy of their communications with individuals, fine-tune their strategy, identify opportunities, and measure outcomes.
Role
Who you are
- Bachelor’s degree in a related field with statistical background
- 5+ years’ experience in varying aspects of statistical modeling and causal research including the deployment of models in a real world setting
- 2+ years experience leading, coaching, developing, and working with technical teams
- Ability to effectively communicate technical concepts to a non-technical audience, both in writing and verbally
- Demonstrated experience defending statistical methods and detailing their implications as well as manipulating different data sets to identify clear insights
- Ability to assess and select the proper statistical methods for a number of different business cases and justify why it is the appropriate choice
- A strong sense of process, organization, and collaboration
- Experience with programming languages such as Python and SQL and statistical software such as R, SPSS, etc
- Proven success conducting data analysis on tight deadlines where the problem is unstructured, or the guidance is open ended
- Expertise in various spreadsheet and presentation softwares including, but not limited to, Excel, Google Sheets, PowerPoint, and Keynote
- Passion for harnessing data-driven solutions to improve social outcomes and dedication to finding the best solutions for our clients and stakeholders
- A keen sense of clear design and attention to detail, with the ability to recognize patterns and to check assumptions, whether they are your own or someone else’s
- Ability to distill requests with a lot of detail down to the most important points and find the most relevant information in a sea of facts
What the job involves
- The Director of Data Science will be responsible for leading in all aspects of BlueLabs’ modeling work and experimental and causal inference work, including statistical methodology, validation, and innovation
- This person will manage the process, analysis, evaluation and execution of modeling and experimental design and guide our Data Science team’s efforts, translating them for other clients and projects
- This leadership position will directly manage a team of data scientists and have experience coaching, guiding, developing, and mentoring a team
- Lead on modeling methodology, including the introduction of new and innovative solutions to existing problems, as well as the methodology of causal inference and experimental design
- Build and maintain team-wide statistical best practices for the execution of our research projects
- Review and evaluate the team’s statistical modeling projects for goodness of fit, appropriateness for the given business case and ultimate deployment
- Manage a team of 10+ data scientists and analysts
- Create and deploy team-wide standards for the development, assessment and QC of our core processes and functions
- Partner with our Client Solutions team to plan and execute models and research designs including developing proposals on the feasibility of modeling and/or experiments
- Develop and implement training and professional development programs for the Data Science team to continuously improve and grow team members’ skill sets, implementation and refinement of statistical methodology, and the vetting and incorporation of new techniques
- Coordinate with team members within and across-divisions on the surveys that will inform the modeling and research efforts
- Ensure that research adheres to statistical rigor
- Advise on other research priorities for clients such as message testing and qualitative research
- Lead BlueLabs internal research on modeling best practices, validations and techniques
- Work alongside our Client Solutions and Insights teams to allocate staff time and resources to accomplish client deliverables
- Act as the internal authority on new research in the community
Otta's take
Theo Margolius
COO of Otta
BlueLabs leverages big data to gain an understanding of and engagement with audiences, allowing its customers to launch more effective communications campaigns. The majority of its work initially came through political campaigns and social impact drives, though the company has expanded its activities into more commercial fields like brand perception and sales in the last few years.
BlueLabs has an interesting origin story, with the founding quartet all working in senior analytics roles for the Democratic Party during the 2012 presidential campaign, where Barrack Obama won a second term against Mitt Romney.
Though the jury is still out on the ethics of big data methods for political motivation - for instance, the Cambridge Analytica scandal regarding its use of social media data in influencing elections - this approach has proven to be extremely effective in persuading and activating audiences. There’s also little doubt that it can be used for great causes too, as shown by BlueLabs’ work with the likes of the UN Refugee Agency, and environmental organization The Sierra Club.
Insights
Company
Company benefits
- Premier health insurance plan
- 401K matching
- Unlimited vacation
- Telecommuting options
- Pre-tax transportation options
- 14+ weeks paid parental leave
- Professional development & learning stipend
- Flexible working hours
- Employee Assistance Program
- Remote friendly (within the U.S.)
Company HQ
Northwest Washington, Washington, DC
Articles
Founders
Elan Kriegel
(Co-founder)Previous Battleground States Analytics Director for the 'Obama for America' campaign in 2011-2012, and Chief Analytics Officer for the 'Hillary for America' campaign in 2015-2016.
Chris Wegrzyn
(Co-founder & Senior Advisor)Previous Director of Data Architecture for the Democratic National Committee. Current Fellow at Schmidt Futures.
Dan Porter
(Co-founder & Head of Data Science)Experience as Director of Modeling for the 'Obama for America' campaign in 2011-2012.
Erek Dyskant
(Co-founder & Civic Tech Partner)Previous Analytics Technical Lead for the 'Obama for America' campaign, and experience in consulting for Me! and International Medical Corps.
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