Senior Data Scientist, Data Strategy/Audience Analytics at Fors Marsh #vacancy #remote

WHO WE ARE: At Fors Marsh, we take on issues that matter. We are a team of researchers, advisors, and communicators working together to shape the systems that shape people’s lives. We look at human behavior from all angles to design targeted solutions that influence decision-making and move people to action. We are committed to the problem, not just the project, and we are intentional about taking on work and forming partnerships that balance purpose, people, planet, and profit. We are a certified B Corporation, a Just employer, and a 2019–2024 Top Workplace awardee. We hold ourselves accountable to the values that have always defined us, and those values drive us to be the best possible versions of ourselves—for each other, our communities, our clients, and the world.

WHO WE ARE LOOKING FOR:  Fors Marsh is running a federally funded communications and advertising campaign to promote seasonal flu, COVID-19, and RSV vaccinations among vulnerable populations. Fors Marsh seeks a researcher with expertise in audience segmentation and data analytics to contribute to key campaign goals including geospatial mapping and campaign optimization. This position will support the Campaign’s segmentation efforts by leveraging advanced analytic techniques to identify, understand, and track target audiences. The senior scientist will closely coordinate with the project team to ensure segmentation efforts meet campaign needs and objectives.

Responsibilities include:

  • Identify valuable data sources and automate collection processes
  • Analyzing large amounts of data from multiple sources, including but not limited to: segmentation datasets, government databases, Census data, and primary survey data, with a heavy focus on geographic-level data
  • Interpreting complex data to identify patterns and actionable insights
  • Propose solutions and strategies to business challenges
  • Presenting data science/analytics research findings to communication audiences and clients
  • Leading the preparation of reports, presentation decks, and other internal and external communications summarizing analytics data and implications for campaign strategy
  • Regularly interfacing with campaign teams to represent findings and discuss potential implications
  • Working closely with the project team on a day-to-day basis and working under tight deadlines to fulfill client requests
  • Communicating effectively and professionally with stakeholders with varying ranges of research knowledge and experience, including tailoring materials for different levels of audience, both technical and non-technical
  • Anticipating potential barriers to project completion, proposing solutions to team leadership

Required Qualifications:

  • At least 5 years relevant experience with data science, segmentation, or communications planning
  • Bachelor’s degree in social science, data science, public health, statistics, marketing or related field
  • Expertise in statistical analysis languages such as R
  • Proficiency in GIS software (e.g. ArcGIS)
  • Proficiency in Python
  • Experience with SQL and database management systems. PostgresSQL is preferred.
  • Database and ETL systems to query and extract data
  • Data science experienced including supervised, semi-supervised, and unsupervised models; generalized linear/additive models; mixed models; random forest; clustering techniques; Bayesian approaches; cross-validation and model performance evaluation
  • Experience working with large, complex, and nuanced datasets
  • Superior verbal and written communications skills
  • Curiosity and a desire to learn
  • Applicants may be subject to a low-level government security investigation and must meet eligibility criteria for access to sensitive information
  • Must be a U.S. Citizen and consent to a full background check due to our federal contract requirements

Preferred Qualifications:

  • Masters / PHD in social science, data science, public health, statistics, or marketing
  • Applied experience with communications and or advertising
  • Experience with data visualization tools like Tableau, Power BI, or similar
  • Experience in working with Cloud computing servers (e.g. AWS) and data and data science related services (e.g., RDS, S3, SageMaker).
  • Experience with audience segmentation and proficiency in commercial segmentation software (e.g., MRI-Simmons, Neilsen, Claritas)
  • Knowledge of marketing metrics, marketing principles and terminology
  • Experience in applied research as part of a government contract
  • Experience working with government agencies such as FDA, CDC, CPSC, or HHS

We Offer:

Our benefits typically meet or exceed our competitors’ packages. Ways we are unique?

  • Ability to make an impact on people’s lives, both internal and external to the organization.
  • Top-tier health, dental, vision, and long and short-term disability coverage all covered at 100% for employee coverage.
  • Remote work.
  • Our company culture, which values balance and allows each employee to take leave as they require it to balance the responsibilities of both their work and home lives without worrying about depleting their available leave hours.
  • We provide a floating holiday bank so you can celebrate the days you value.
  • Generous matching retirement contributions and no vesting period starting the third month of employment.
  • Dedicated training and development budgets to expand your expertise and grow your skillset.
  • You can volunteer your way with paid time off.
  • You can participate in Fors Marsh staff-led affinity groups.
  • Our employees receive product and service discounts through the certified B Corp network.

Salary: $108,000 – $125,000

FM Career Map:  Senior Scientist II

Location: Remote, United States Residents only

EOE: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran

PostgreSQL amazon-s3 Tableau Data Science Python Amazon Web Services (AWS) R GIS SQL bayesian amazon-rds Amazon SageMaker Power BI

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