The Company:
Marigold helps brands foster customer relationships through the science and art of connection. Marigold Relationship Marketing is a suite of world-class martech solutions that help marketers create long term customer love and loyalty. Marigold provides the most comprehensive set of use cases for marketers at any level. Headquartered in Nashville, Tennessee, Marigold has offices globally across the United States, Europe, Australia, New Zealand, South America and Central America, as well as in Japan.
What You’ll Do:
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
Ideal Qualifications:
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
Nice to Have:
Experience with Large Language Models, Retrieval Augmented Generation, Embeddings, and Vector Databases in a production environment
Experience with real-time data streaming and processing frameworks such as Kafka, Kinesis, or similar
Advanced experience working with distributed computing and big data technologies such as Databricks, Snowflake, Clickhouse or similar
Experience delivering data models and insights at scale, processing and analyzing large datasets in real time
What We Offer: (Required)
The competitive salary and benefits you’d expect!
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.
