Remote Growth Data Scientist Lead | WFH

Job Overview

Are you an accomplished data science professional eager to make a significant impact on marketing growth? We invite you to join our progressive Quantitative Science team within a forward-thinking FinTech/Insurance organization. We are in search of a proactive Growth Lead Data Scientist to lead our initiatives in full-funnel marketing optimization and expansion. This fully remote position offers the unique opportunity to define our experimentation roadmap and drive transformative, data-driven marketing strategies.

Key Responsibilities

• Spearhead marketing experimentation and optimization initiatives, employing your extensive knowledge of advanced data science methodologies.
• Innovate marketing strategies through prompt testing and precise measurement of novel approaches.
• Establish yourself as a thought leader in mid-upper funnel experimentation, targeting, measurement, and industry best practices.
• Identify and frame new opportunities for growth and optimization within direct marketing.
• Develop data science pipelines to facilitate rapid iteration on research concepts and their implementation into actionable solutions.
• Assume comprehensive ownership of problem areas, continually enhancing quantitative solutions to meet organizational goals.

Required Skills

• Proficient programming abilities in Python or R.
• Strong knowledge of databases and SQL.
• Familiarity with version control systems, particularly Git.
• Experience utilizing AWS services or similar platforms (e.g., EC2, SageMaker, S3, Athena).
• Exceptional skills in business intelligence and data visualization.
• Experience in executing and assessing the impact of targeted, data-driven marketing strategies.
• Proficiency in building and deploying machine learning targeting models for various marketing campaigns.
• Ability to design and conduct A/B tests to evaluate the effectiveness of new marketing initiatives.

Qualifications

• An advanced degree in a quantitative field is preferred (PhD is a plus).
• A minimum of 6 years of experience applying advanced quantitative techniques in a professional setting.
• Preferred qualifications include familiarity with Demand-Side Platforms (DSPs) such as The Trade Desk and Meta, experience with identity graphs for improved targeting and measurement, and MLOps expertise.
• Prior experience in the insurance sector is also advantageous.

Career Growth Opportunities

Become part of a rapidly expanding team that offers numerous avenues for professional development. This role allows you to take the lead on innovative marketing strategies while shaping the future direction of our marketing initiatives.

Company Culture And Values

We pride ourselves on fostering a tech-savvy culture that champions innovation, creativity, and teamwork. Our Quantitative Science team is dedicated to achieving exceptional results through advanced data science solutions in a collaborative remote environment.

Employment Type: Full-Time