Senior Data Scientist

February 21

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Marigold

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Marigold is a company that specializes in AI-powered relationship marketing solutions. It offers a variety of products and services designed to help businesses build, maintain, and strengthen customer relationships. Their offerings include email marketing, personalized campaigns, and cross-channel customer engagement tools through platforms like Campaign Monitor, Cheetah Digital, Emma, Sailthru, Selligent, and Vuture. Marigold aims to enhance marketers' capabilities in data management, Real-time personalization, and customer loyalty, servicing industries such as agencies, financial services, higher education, media, and retail. Their goal is to transform marketing efforts into long-standing, meaningful customer relationships that maximize lifetime customer value.

Marketing • Relationship Marketing • Email Software and Services • Loyalty • Real-Time Personalization

1001 - 5000 employees

🤝 B2B

☁️ SaaS

📋 Description

• Collaborate with product, engineering, and data science teams to design, develop, and deploy highly scalable solutions. • Work through all phases of the data science life cycle, including data collection, cleaning, analysis, modeling, validation, and deployment. • Research, fine-tune, benchmark and align Large Language Models for practical application in digital marketing. • Investigate, analyze, and address data quality issues and model performance issues in a timely manner. • Deliver technical documentation and reports for use by internal teams, customers, and partners. • Conduct exploratory data analysis to identify trends, patterns, and insights that will inform model development.

🎯 Requirements

• Degree in Data Science, Computer Science, Statistics, or a related field, or equivalent combination of education and experience. • 7+ years of experience in data science, with a focus on deploying models in enterprise, high-scale environments. • Advanced understanding of statistical modeling, machine learning algorithms, and data analysis techniques. • Proficient in Python, R, or similar languages for data science, and performance tuning of models. • Experience working with SQL databases such as MySQL, PostgreSQL, or equivalent. • Experience with big data processing tools such as Apache Spark, Databricks, Clickhouse, or equivalent. • Excellent communication skills, both verbal and written, with the ability to explain complex technical concepts to non-technical stakeholders. • Demonstrated ability to produce clear and concise technical documentation.

🏖️ Benefits

• Generous time off (we call it Open Time Away) as well as paid holidays and a birthday benefit day off. • Retirement contributions. • Employee-centric and supportive remote work environment with flexibility. • Support for life events including paid parental leave.