Senior Data Scientist, Audience Analytics
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Job Description
Senior Data Scientist focused on audience analytics for Healthy Communities, employing data science for actionable insights. Collaborating with teams to optimize communication campaigns based on complex data analysis.
Responsibilities:
- 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.
Requirements:
- 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
Benefits:
- 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.
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