Senior Data Scientist, Audience Analytics for Healthy Communities [Remote]

JOB TITLE: Senior Data Scientist, Audience Analytics for Healthy Communities

WHO WE ARE:  At Fors Marsh, we take on issues that matter. We are a team of researchers, strategists, and communicators working together to drive lasting change. We look at human behavior from all angles with a deep understanding of people and context to design solutions that influence decision-making and move people to action. Our work promotes health and well-being, shapes resilient communities, and builds effective and accountable institutions. We are a certified B Corporation and a Top Workplace for 7 consecutive years.

WHO WE ARE LOOKING FOR: 

Fors Marsh is seeking an experienced quantitative researcher to serve as Senior Data Scientist in our Audience Analytics for Healthy Communities division (AA4HC), which applies data science and research to create actionable insights and plan and optimize communication campaigns, primarily national campaigns for federal clients. The division uses applied data architecture, programming, data visualization, GIS mapping, and statistical modeling to segment audiences and reach them efficiently and effectively.​ We also combine data from disparate sources into interactive dashboards to facilitate campaign management, optimization, and reporting. The selected individual will conduct data analysis, infrastructure, and visualization as part of projects to identify, understand, and track audiences for public education campaigns including tobacco/nicotine education campaigns. This will include coordinating with internal teams and vendors to integrate campaign media data into campaign performance dashboards. This person will provide technical guidance and coordinate the completion of project tasks and deliverables across teams and team members, upholding high standards for the team to exceed client expectations.

Responsibilities include:

• Data engineering, including developing scripts to automate advertising analytics/survey data cleaning and process reviews using ETL/ELT pipelines with medallion architecture (Python and R)
• Building and maintaining data visualizations for data exploration and trend analysis using Tableau and PowerBI dashboards.
• Conduct data analysis to interpret complex data, identify patterns, and shape actionable insights (including reports, presentations, and models). This includes descriptive reporting, casual inference, segmentation, and predictive modeling.
• Regular client interactions, such as presentations, reports, and status meetings to develop and refine data solutions to meet client needs, report on project progress, and share results.
• Ongoing communication with vendors and internal communication campaign teams to represent findings, coordinate next steps, navigate joint decision-making, and discuss potential implications
• Working in a collaborative team environment to logically design communication campaigns based on data.

Qualifications:

• At least 5 years' relevant experience with data science, segmentation, or communications planning
• Master's degree in social science, data science, public health, statistics, marketing or related field. PHD preferred
• Proficiency 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).
• Expertise in Python
• Proficiency in R and SQL
• Experience using database and ETL systems to query and extract data using medallion architecture
• 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
• Applicants may be subject to a low-level government security investigation and must meet eligibility criteria for access to sensitive information
• A collaborative, problem-solving mindset
• Curiosity, flexibility, and a desire to learn

Preferred Qualifications:

• Applied experience with communications, media, or advertising
• Experience with audience segmentation and proficiency in commercial segmentation (e.g., MRI-Simmons, Nielsen, Claritas)
• Proficiency in GIS software (e.g. ArcGIS)
• Knowledge of marketing metrics, marketing principles and terminology
• Experience working with government public health agencies such as HHS, FDA, CDC, CMS, or statistical agencies like Census Bureau, Bureau of Labor Statistics, or Bureau of Economic Affairs.

We Offer:

Our benefits typically meet or exceed our competitors' packages. What's in it for you?

• 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.

• 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.

• 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: $92,000-$105,000

Internal Fors Marsh Career Map Title: Senior Scientist I

Location: Remote, open to United States Residents only. #LI-Remote

Equal Opportunity Employer: 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.