Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The Data Scientist will play a key role on the Performance Marketing Analytics team, driving company-wide impact. This position involves blending strategic thinking, data science expertise, and stakeholder management to evolve data capabilities and deliver measurable business outcomes.

Responsibilities

• Lead end-to-end development of machine learning and advanced analytics solutions for client acquisition, retention, and operational efficiency.
• Partner with cross-functional teams in Marketing, Digital, Product, Finance, and Data Engineering to align business goals with data science initiatives.
• Build data models and evolve practices toward a sophisticated enterprise data structure on Databricks.
• Define hypotheses, success metrics, and testable use cases with stakeholders.
• Source, clean, and integrate siloed datasets while designing robust data pipelines.
• Develop models for client outcomes including survival analysis, logistic regression, tree-based models, and CLV modeling.
• Build and refresh Marketing Mix Models for incrementality and channel optimization.
• Productionalize models using MLflow and implement monitoring and alerting.
• Produce response curves, elasticities, and scenario planning for budget allocation.
• Translate complex analyses into clear narratives and recommendations for executive audiences.
• Coach junior team members through code reviews and pair programming.
• Ensure adherence to model governance, validation, fairness, and privacy standards.

Requirements

• 7+ years of hands-on data science experience delivering productionized models.
• Strong Python proficiency including pandas, numpy, and scikit-learn.
• Experience with survival analysis, logistic regression, and tree-based/gradient boosting methods.
• Demonstrated experience with Marketing Mix Modeling and translating results into budget recommendations.
• Experience with multi-touch attribution models and measuring return on marketing investment.
• Expertise in CLV modeling and linking it to acquisition/retention strategies.
• Proven ability to work in scrappy data environments with disparate sources.
• Proficiency with SQL, PySpark, MLflow, and Databricks Jobs/Workflows.
• Experience designing and analyzing A/B and incrementality tests.
• Familiarity with CI/CD, version control, and reproducible research practices.
• Experience with cloud data ecosystems like Azure or AWS and orchestration tools like Airflow or dbt.
• Experience with visualization tools such as Plotly, Matplotlib, Seaborn, Power BI, or Tableau.
• Mentoring experience guiding junior associates and establishing coding standards.

Skills

• Machine Learning
• Advanced Analytics
• Python
• SQL
• PySpark
• Databricks
• MLflow
• Marketing Mix Modeling
• Customer Lifetime Value Modeling
• Survival Analysis
• A/B Testing
• Data Wrangling
• Data Governance
• Cloud Data Ecosystems
• Data Visualization

Location

• On site

Work Type

• Full-time

Experience Level

• 7+ years

Benefits

• Medical with wellness incentives
• Dental
• Vision
• HSA with company match
• Maternity and parental leave
• Tuition reimbursement
• Mentor program
• 401(k) with 6% match

About the Company

• First Horizon Corporation is a leading regional financial services company headquartered in Memphis, TN.
• Operates in 12 states across the southern U.S.
• Offers commercial, private banking, consumer, small business, wealth and trust management, retail brokerage, capital markets, fixed income, and mortgage banking services.
• Recognized as a top employer by Fortune and Forbes magazines.