Marketing Data Science Manager

We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing this role youll collaborate with practice leaders engineers and cross-functional stakeholders to solve complex business challenges using data science and AI-driven approaches. Youll work on end-to-end data science initiatives with opportunities to design and implement cutting-edge generative AI (GenAI) and LLM-powered solutions.

Key Responsibilities

Data Science & Analytics

• Partner with practice leaders and clients to understand business problems industry context data sources risks and constraints.

• Translate business needs into actionable data science solutions evaluating multiple approaches and clearly communicating trade-offs.

• Collaborate with stakeholders to align on methodology deliverables and project roadmaps.

• Leverage Machine Learning and Data Analysis to optimize marketing campaigns

• Conduct A/B tests to improve campaign performance measure campaign effectiveness and increase engagement and conversion rates. 

AI & Generative AI Collaboration

In addition to traditional data science responsibilities you will collaborate with AI and engineering teams to:

• Design and implement production-grade AI solutions leveraging LLMs transformers retrieval-augmented generation (RAG) agentic workflows and generative AI agents.

• Optimize prompt design workflows and pipelines for performance accuracy and cost-efficiency.

• Build multi-step stateful agentic systems that utilize external APIs/tools and support robust reasoning.

• Deploy GenAI models and pipelines in production (API batch or streaming) with a focus on scalability and reliability.

• Develop evaluation frameworks to monitor grounding factuality latency and cost.

• Implement safety and reliability measures such as prompt-injection protection content moderation loop prevention and tool-call limits.

• Work closely with Product Engineering and ML Ops to deliver robust high-quality AI capabilities end-to-end.

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• Develop and manage detailed project plans including milestones risks owners and contingency plans.

• Create and maintain efficient data pipelines using SQL Spark and cloud-based big data technologies within client architectures.

• Collect clean and integrate large datasets from internal and external sources to support functional business requirements.

• Build analytics tools that deliver insights across domains such as customer acquisition operations and performance metrics.

• Perform exploratory data analysis data mining and statistical modeling to uncover insights and inform strategic decisions.

• Train validate and tune predictive models using modern machine learning techniques and tools.

• Document model results in a clear client-ready format and support model deployment within client environments.

Qualifications :

Required Skills & Experience

• 5 years of hands-on experience in Data Science including model building and ML Ops
• Experience in email marketing and direct marketing 
• Experience managing people
• Proficiency in Python SQL and tools like Pandas Scikit-learn NLTK/spaCy and Spark
• Familiarity with digital marketing ecosystem (e.g. clickstream analytics) and recommendation systems 
• Experience deploying models via APIs or integrating them into batch processing pipelines
• Working knowledge of cloud data platforms (e.g. AWS S3 Redshift GCP Azure)
• Ability to manage data pipelines and ETL processes with a solid understanding of data engineering best practices
• Strong communication and collaboration skills including experience engaging directly with clients

Preferred Qualifications

• Exposure to ML Ops tools such as MLflow Kubeflow or SageMaker
• Experience working in Agile environments with cross-functional teams

Additional Information :

The starting pay range for this role is $125000 - $160000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience skills certifications training and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical dental vision 401K PTO paid holidays commuter benefits spending accounts life insurance disability coverage and EAPs. 

Remote Work :

No

Employment Type :

Full-time