Lead Data Scientist Location: Hybrid (Fort Worth, Ann Arbor) or Remote
Travel: At least 4 times per year for team collaboration
Salary: $145,000 - $165,000 (competitive based on experience, approximately $150,000-$160,000 with around 5 years of experience)
About the Role: Join a cutting-edge technology company specializing in commerce media as a Lead Data Scientist. In this pivotal role, you will tackle complex challenges in the adtech landscape, deploying machine learning models and sophisticated statistical algorithms that optimize large-scale data systems. Collaborate with cross-functional teams to craft data-informed solutions that propel business growth, enhance user experiences, and refine targeting and optimization strategies across digital platforms.
Key Responsibilities: - Create and implement scalable machine learning models, classifiers, and tools spanning regression, machine learning, and optimization techniques.
- Design and deploy robust models on extensive data sets to refine ad delivery and relevancy.
- Leverage statistical models and forecasting techniques to solve issues related to targeting, cross-channel optimization, and A/B testing.
- Lead the adoption of innovative machine learning techniques and advanced data science methodologies.
- Work closely with marketing, engineering, and product teams to refine and elevate data-driven strategies.
- Utilize large-scale data processing tools (e.g., Spark, Hive) and cloud environments (AWS) effectively.
- Engage in project planning, team meetings, and strategic decision-making initiatives.
Qualifications: - Advanced degree (PhD preferred) in Statistics, Computer Science, Engineering, or a related field.
- Proficient in Python with extensive experience in Spark and TensorFlow.
- Solid background in machine learning, deep learning, statistical modeling, and analytics.
- Advanced SQL skills, with experience working with large datasets and cloud-based systems (AWS).
- Driven by a passion for utilizing data science to generate impactful business outcomes and foster innovation.
- Comprehensive experience with A/B testing methodologies.
Who You Are: - A collaborative and dynamic problem-solver eager to apply machine learning to real-world challenges.
- Adaptable to fast-paced, cross-functional environments across multiple time zones.
- A thought leader with a passion for pioneering advanced data science solutions for intricate business challenges.
If you are ready to advance the field of data science within an exciting and rapidly evolving industry, we would be thrilled to hear from you.