Survey Scientist

BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world’s greatest social and analytical challenges. Since our inception we’ve worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.

The BlueLabs Polling Team specializes in survey data collection to provide strategic advice to our clients. We work closely with client teams and data scientists to design and implement survey programs that power our analysis and messaging recommendations. Our focus is on understanding what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Operating in a fast-paced, impact-oriented environment, our collaborative team engages across teams in support of our clients’ objectives. We excel at defining complex challenges, creatively sourcing data, and driving progress every day. We work in changing, ambiguous environments, and are at the forefront of addressing the most challenging issues facing the survey research industry today.

A Survey Scientist is expected to use a combination of statistics, programming, and domain knowledge to solve problems, focused on creating the methodological backbone for our general purpose products, but also lean in on client projects. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently.  The Survey Scientist is both a subject matter expert and a team leader. This position reports to the Director of Polling.

• →Work with the Director of Polling on the design, implementation, and delivery of survey products and services
• →Develop and maintain internal software tools and systems to support the collection, processing, and analysis of survey data
• →Own the predictive modeling process from ingestion to deployment for key internal models
• →Ensure the data and modeling results meet requirements for quality and work with the team to clean, transform, aggregate, and report on data as needed
• →Collaborate with polling managers, data scientists, project managers and external stakeholders to troubleshoot problems and proactively create solutions
• →Collaborate with data engineers and analysts to optimize data infrastructure and pipelines, ensuring efficient and reliable data flow
• →Assist in the design and execution of experiments and surveys, including sample selection, data collection, and weighting
• →Ensure team excellence by documenting processes and evangelizing new approaches
• →Work both independently and as part of a team to deliver accurate products on short deadlines

• You have a proven track record using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so. 
• You have experience that mastered a variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn’t know they had - you’re comfortable thinking from a number of different perspectives.
• You are able to anticipate questions from your stakeholders while remaining objective in how you approach their unique challenges. You are experienced deriving value from imperfect data, but also know when to push the emergency stop button. 
• You are a self-starter. You can take a project from just an idea to its fully fledged form - whether it be carrying out an analysis, building a model, or building a new tool. 

• Experience working in a quantitative production environment or a postgraduate degree in a quantitative field
• Experience with and ability to apply knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.)
• Experience working with survey data, and a solid understanding of sampling techniques and survey design 
• Advanced understanding of Python. Experience with other statistical programming languages is also useful
• Experience building predictive models using regression and machine learning techniques
• Ability to manipulate data with SQL
• Proven experience creating analytics output within a production-oriented team
• Ability to effectively communicate and present technical concepts to a non-technical audience, both in writing and verbally
• Experience creating and delivering informative and engaging data visualizations using industry leading tools
• Leadership competencies in the following: empathy, active listening, coaching/feedback, integrity, decisiveness, and problem solving

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