Senior Data Scientist - Marketing Analytics

WhatJobs Direct9 days ago
St. Louis, MO, United States
Remote
Full-time
Junior Level (1-3 years)

Job Description

Job Description

Our client is seeking a highly analytical and experienced Senior Data Scientist to lead their Marketing Analytics initiatives. This is a fully remote position, offering the opportunity to leverage advanced data techniques to drive marketing strategy and performance. The ideal candidate will possess a strong background in statistical modeling, machine learning, and data visualization, with a deep understanding of marketing principles. You will be responsible for extracting actionable insights from complex datasets, building predictive models, and communicating findings to stakeholders. This role requires exceptional technical skills, a curious mindset, and the ability to translate data into business impact. You will work with large volumes of marketing data, including customer behavior, campaign performance, and market trends, to optimize strategies and improve ROI.

Your Responsibilities

  • Designing and implementing advanced statistical models and machine learning algorithms to analyze marketing data.
  • Developing predictive models for customer segmentation, churn prediction, lifetime value, and campaign effectiveness.
  • Extracting, cleaning, and transforming large datasets from various sources.
  • Performing A/B testing and experimental design to evaluate marketing initiatives.
  • Creating compelling data visualizations and dashboards to communicate insights to marketing teams and leadership.
  • Collaborating closely with marketing professionals to understand their needs and translate them into data science problems.
  • Identifying key performance indicators (KPIs) and tracking marketing campaign performance.
  • Staying current with the latest advancements in data science, machine learning, and marketing analytics.
  • Mentoring junior data scientists and contributing to the development of best practices.
  • Ensuring data quality and integrity throughout the analytical process.
  • Communicating complex analytical findings clearly and concisely to both technical and non-technical audiences.

Qualifications

  • Education: Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
  • Experience: 5+ years of experience as a Data Scientist, with a strong focus on marketing analytics or related areas.
  • Technical Skills: Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
  • SQL: Expertise in SQL for data extraction and manipulation.
  • Data Visualization: Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
  • Statistical Knowledge: Solid understanding of statistical modeling, hypothesis testing, and experimental design.
  • Machine Learning: Experience with machine learning techniques and their application in marketing.
  • Analytical Skills: Strong analytical, problem-solving, and critical-thinking skills.
  • Communication: Excellent communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
  • Cloud Experience: Experience working with large datasets and cloud platforms (AWS, Azure, GCP) is a plus.
  • Marketing Systems: Familiarity with marketing automation platforms and CRM systems is advantageous.

Opportunity

This is an exciting opportunity for a talented data scientist to make a significant impact on marketing effectiveness in a fully remote capacity. Join our innovative team and help drive data-informed decisions.

Required Skills

Matplotlib
Power BI
A/B Testing
Predictive Modeling
Communication Skills
Cloud Platforms (AWS, Azure, GCP)
Machine Learning
Python
R
Collaboration with Marketing Professionals
Data Visualization
CRM Systems
Marketing Automation Platforms
Tableau
Lifetime Value Analysis
Data Quality Assurance
Data Transformation
Customer Segmentation
Pandas
Key Performance Indicators (KPIs) Tracking
Scikit-learn
PyTorch
Campaign Effectiveness Evaluation
TensorFlow
SQL
Churn Prediction
Data Cleaning
Statistical Modeling
Mentoring