Staff Data Scientist (Marketing)

TL;DR

Staff Data Scientist (Marketing): Architecting and leading the technical execution for the Marketing Data Science roadmap with an accent on Media Mix Modeling, User Lifetime Value, Causal Inferences, Multi-touch Attribution, and Spend Optimization. Focus on designing, implementing, and deploying scalable production ML solutions and data products within a hybrid work model.

Location: New York City, with an office-centric hybrid schedule (Monday, Tuesday, Thursday in office)

Salary: $202,000–$282,000

Company

hirify.global is a leading platform for human + AI collaboration, enabling millions of teams worldwide to achieve their goals faster.

What you will do

• Architect, design, and lead the technical execution for the Marketing Data Science roadmap, including Media Mix Modeling (MMM), User Lifetime Value, and Multi-touch Attribution.
• Act as the primary technical subject matter expert for the Marketing Data Science team, setting the technical bar for modeling quality, code rigor, and solution scalability.
• Collaborate with marketing leadership to pinpoint how data science can be further integrated into hirify.global's business approach.
• Provide hands-on technical mentorship and guidance to data scientists, helping them navigate complex modeling challenges and establish robust ML Ops.
• Develop and standardize MLOps tooling and processes for efficient model deployment, monitoring, and maintenance in production.
• Research, prototype, and advocate for emerging capabilities and state-of-the-art models in the marketing data science space.

Requirements

• Bachelor's Degree in Math, Statistics, Computer Science, Engineering, or a related quantitative field, or equivalent experience.
• 6+ years of experience in a data science role, with 2+ years dedicated to technical leadership and mentorship on large-scale production data science projects.
• 4+ years of experience collaborating with Marketing functions on deep technical projects, with extensive experience designing, implementing, and deploying marketing models (e.g., MMM, LTV, MTA).
• Expert-level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques relevant to marketing effectiveness.
• Proven track record developing, deploying, and maintaining scalable production ML solutions and data products.
• Expert proficiency in SQL and Python.

Nice to have

• Experience with MLOps tools (e.g., MLFlow).
• Experience with statistical languages (e.g., R).
• Experience with distributed data processing systems (e.g., Spark, Redshift).

Culture & Benefits

• Comprehensive compensation package with a commitment to fair pay and a yearly pay equity audit.
• Mental health, wellness, and fitness benefits.
• Career coaching and inclusive family building benefits.
• Long-term savings or retirement plans.
• In-office culinary options catering to dietary preferences.
• Office-centric culture with hybrid model elements, supporting a global team across 13+ offices.