Title: Sr. Data Scientist
Location: Remote, CST or EST preferred
Contract to hire
Responsibilities
You will lead the design and development of machine learning models and data-driven solutions that directly support business decisions, particularly around identifying and targeting key markets and customer segments. You’ll serve as a critical link between data science and business strategy—transforming raw data into insights and communicating those insights in a clear, impactful way to technical and non-technical stakeholders.
- Develop and refine data pipelines using PySpark, transforming and modeling large-scale data across SQL Server, Iceberg, and data lakehouse environments.
- Ingest, clean, and integrate data from multiple sources to generate actionable insights.
- Create and maintain rules engines to identify households, geographies, or other dimensions critical for market targeting.
- Collaborate with business stakeholders to translate complex technical findings into accessible and actionable recommendations
- Drive experimentation and hypothesis testing to continuously improve model accuracy and business outcomes.
Must Haves:
- 5+ years of professional experience in Data Science, preferably in a marketing or customer-centric environment.
- Design, build, and deploy machine learning models using tools such as TensorFlow, Databricks, and AWS SageMaker to support marketing and targeting strategies.
- Adept ability to create KPI’s/metrics through the analysis of customer data to drive marketing solutions.
- Proficiency with Spark-based ETL and SQL for data wrangling, transformation, and analysis.
- Professional experience visualizing data insights using Tableau.
- Advanced scripting ability using Python.
Nice-to-Haves:
- Bachelor’s degree in Computer Science or related field.
- Experience working in marketing analytics, customer segmentation, or location intelligence.
- Background in building real-time or near-real-time data pipelines
- Experience with geospatial data or household-level targeting.
- Professional experience working in the Financial Marketing sector.
