AI/ML Engineer developing advanced solutions for federal client at Niyam IT. Focusing on AI/ML models and operational efficiency improvement in federal environments.
About the role
- Lead Machine Learning Engineer developing causal Marketing Mix Models to support Adobe’s global marketing decisions. Collaborating with cross-functional teams to ensure accurate measurement of marketing ROI.
Responsibilities
- Develop both descriptive and predictive MMMs that accurately measure the incremental impact of marketing and non-marketing drivers
- Expand our modeling solutions to support a growing number of geographic locations and product groups
- Integrate additional measurement methodologies and data to ensure accurate measurement of marketing return on investment
- Balance technical capabilities with practical business needs
- Measure both short- and long-term impact of marketing to guide budget allocation across funnel stages to drive sustainable business growth
- Communicate model results effectively to partners and executives
- Continuously improve modeling techniques and capabilities as the analytical landscape evolves
- Contribute to the overall growth of the team!
Requirements
- MS/PhD in Economics, Statistics, Physics, Mathematics, Computer Science, or a related quantitative field
- 3-4 years of experience in developing and operationalizing MMM and marketing science solutions
- Strong technical expertise in MMM and ML algorithms, with the ability to connect model insights to business outcomes
- Experience with experimentation/causal inference methods
- Experience in deploying models from development to production environments
- Proficiency in ML programming languages like Python, R, etc. and data querying languages (e.g. SQL)
- Experience with cloud platforms for scalable model training and deployment
- Strong communication skills and the ability to explain technical terms to business stakeholders
- Ability to build positive working relationships and collaborate in cross-functional teams
- A curious mind, passion, and motivation to learn new skills, tools, and techniques!
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
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