below marketmost similar roles pay hereabove market
This role pays more than
67%
of similar roles. Most pay
$155,000–$214,900
— the blue band above.
At the midpoint, this role pays about
$210k
versus about
$185k
for comparable roles.
Based on 240 similar postings.
Employer
About Amd
AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors
Amd currently has
496 open roles
on FindRole.
Listed pay typically runs
$172,000–$258,000
across 496 roles with salary data.
The Senior Data Science Manager will join the Marketing Analytics team to build and scale data science capabilities from the ground up. This role involves developing the operating model, analytical frameworks, and roadmap to identify high-impact opportunities across the full marketing funnel. Key responsibilities include designing advanced solutions like marketing mix modeling, multi-touch attribution, lead scoring, propensity modeling, and campaign optimization. The successful candidate will translate complex business questions into actionable projects, collaborating with Marketing, Product, and Sales Operations to embed data-driven insights into decision-making. Required skills include proficiency in Python, R, SQL, cloud data platforms, and machine learning frameworks. The role focuses on improving data quality, operationalizing models, and measuring business impact across awareness, demand generation, conversion, retention, and expansion.
What does a Data Science Manager earn?
Median $211200 from 43 postings across 13 companies.
Build and scale the marketing data science operating model, frameworks, tools, and governance from the ground up.
Develop and own the marketing data science roadmap to prioritize high-impact analytics across the full marketing funnel.
Design and deliver advanced analytical solutions including lead scoring, attribution, marketing mix modeling, and propensity modeling.
Measure and demonstrate business impact by establishing performance indicators and feedback loops for models and marketing investments.
Partner with cross-functional stakeholders to embed analytics into planning and decision-making processes.
Collaborate with data engineering and technology teams to improve data quality, accessibility, and model deployment.
Translate complex analytical findings into clear business implications and recommendations for executive and technical audiences.
What we're looking for
Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Marketing Analytics, or a related quantitative field.
Master’s degree or equivalent advanced experience (preferred).
10+ years of experience in data science, advanced analytics, marketing analytics, or a related discipline (preferred).
Experience leading complex, cross-functional analytics initiatives (preferred).
Demonstrated success building or scaling a data science or advanced analytics capability (preferred).
Hands-on knowledge of marketing mix modeling, multi-touch attribution, experimentation, forecasting, segmentation, propensity modeling, causal inference, and campaign optimization (preferred).
Proficiency with Python or R, SQL, cloud data platforms, machine learning frameworks, and visualization tools (preferred).
Experience developing and mentoring data scientists or analytics professionals (preferred).
SQL
Python
R
Spark
Snowflake
Airflow
ML Ops
Causal Inference
Statistical Analysis
Data Pipelines
Experimentation Design
Data Transformation
Monitoring Systems
SQL
Python
R
Spark
Snowflake
Airflow
ML Ops
Causal Inference
Statistical Analysis
Data Pipelines
Experimentation Design
Data Transformation
Monitoring Systems
SQL
Python
R
Spark
Snowflake
Airflow
ML Ops
Causal Inference
Statistical Analysis
Data Pipelines
Data Transformation
Experimentation Design
Data Storytelling
Monitoring Systems
Data Integrity