Ars X Machina (AXM)
Machine Learning EngineerData Scientist
Ars X Machina (AXM), San Francisco, California, United States, 94199
** This is a fully remote position. Please only apply to this position if you reside in one of the following US States where Ars X Machina (AXM) currently operates:
Alabama, Arizona, California, Colorado, Connecticut, Georgia, Illinois, Kansas, Massachusetts, Michigan, Montana, Nevada, New Jersey, New York, North Carolina, Ohio, Oregon, South Carolina, Texas, Washington
Please note that we do not offer visa sponsorship for this position. Candidates must be legally authorized to work in the United States (specifically in the states we operate business) without requiring visa sponsorship .
Employment is contingent upon successful completion of a background check.
Thank you for your understanding.
JOB DESCRIPTION SUMMARY:
Use Agile Mix Modelling™ (AMM), AXM’s proprietary measurement solution to measure client campaigns in close partnership with agency client teams to ensure reasonable and valuable output
Develop new features for AMM according to product roadmap such as attribution, forecasting, and scenario planning.
Work in partnership with the Business Intelligence team to integrate AMM with data warehouse and business intelligence processes
This role is full-time and remote, working pacific time zone hours
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Construct models as needed for client reporting deliverables
Communicate complex statistical information to agency client teams, and help construct narratives for client reporting deliverables
Enforce statistical rigor while enabling client understanding in order to create actionable insights for clients
Continue development of AMM product by improving Bayesian models and utilizing statistical and machine learning approaches to optimize attribution output and streamline the creation of valid models
Participate in both short and long term architecture and product development planning
Help maintain a custom code base, container images, and cloud infrastructure.
Work in an AWS cloud environment
Identify and Integrate LLM Agents into team workflows to increase output, efficiency, and ease of use
REQUIREMENTS
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or other quantitative fields preferred. Master's or Ph.D. preferred.
2+ years experience in a data scientist or machine learning role required
Proven expertise in coding with Python, with a strong understanding of data structures, algorithms, and object-oriented programming
Experience with Bayesian Modelling, ideally using PyMC and pymc-marketing, with ability to effectively communicate results
Experience with the following required: Ray, Podman (or Docker), github, creating and managing containers
Familiarity with machine learning techniques and libraries such as scikit-learn, TensorFlow, or PyTorch.
Proficiency in SQL, Pandas, and general ETL practices required
Knowledge of econometrics and statistical modeling techniques strongly desired
Experience in advertising analytics, mixed media modelling, and experimentation strongly desired
Must have a willingness to own critical processes and take initiative, be biased toward action
Ability to pivot quickly and learn new technologies and analysis techniques
Ability to thrive in a remote work environment, demonstrating strong project management, communication and collaboration skills.
Be highly organized with the ability to work independently.
Consistently meet deadlines in a fast-paced environment: working under pressure while prioritizing workload
The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required of personnel so classified.
**
ABOUT Ars X Machina: **
Ars X Machina (AXM) is a full-service media planning and buying agency headquartered in San Francisco, with remote employees throughout the US. We develop plans across all media—Digital, TV, Radio, Print, Outdoor, Social, Mobile, Email, Direct Mail, and Search. We handle all aspects of media, from beginning to end—research, planning, negotiating, insertion orders, billing, tracking, and optimization. We work with B2B and B2C campaigns—direct response and brand campaigns. We pride ourselves on our negotiation skills, leadership, relationships with our clients and vendors, efficiency (we move faster than big agencies), transparency, and high level of client service.
Alabama, Arizona, California, Colorado, Connecticut, Georgia, Illinois, Kansas, Massachusetts, Michigan, Montana, Nevada, New Jersey, New York, North Carolina, Ohio, Oregon, South Carolina, Texas, Washington
Please note that we do not offer visa sponsorship for this position. Candidates must be legally authorized to work in the United States (specifically in the states we operate business) without requiring visa sponsorship .
Employment is contingent upon successful completion of a background check.
Thank you for your understanding.
JOB DESCRIPTION SUMMARY:
Use Agile Mix Modelling™ (AMM), AXM’s proprietary measurement solution to measure client campaigns in close partnership with agency client teams to ensure reasonable and valuable output
Develop new features for AMM according to product roadmap such as attribution, forecasting, and scenario planning.
Work in partnership with the Business Intelligence team to integrate AMM with data warehouse and business intelligence processes
This role is full-time and remote, working pacific time zone hours
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Construct models as needed for client reporting deliverables
Communicate complex statistical information to agency client teams, and help construct narratives for client reporting deliverables
Enforce statistical rigor while enabling client understanding in order to create actionable insights for clients
Continue development of AMM product by improving Bayesian models and utilizing statistical and machine learning approaches to optimize attribution output and streamline the creation of valid models
Participate in both short and long term architecture and product development planning
Help maintain a custom code base, container images, and cloud infrastructure.
Work in an AWS cloud environment
Identify and Integrate LLM Agents into team workflows to increase output, efficiency, and ease of use
REQUIREMENTS
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or other quantitative fields preferred. Master's or Ph.D. preferred.
2+ years experience in a data scientist or machine learning role required
Proven expertise in coding with Python, with a strong understanding of data structures, algorithms, and object-oriented programming
Experience with Bayesian Modelling, ideally using PyMC and pymc-marketing, with ability to effectively communicate results
Experience with the following required: Ray, Podman (or Docker), github, creating and managing containers
Familiarity with machine learning techniques and libraries such as scikit-learn, TensorFlow, or PyTorch.
Proficiency in SQL, Pandas, and general ETL practices required
Knowledge of econometrics and statistical modeling techniques strongly desired
Experience in advertising analytics, mixed media modelling, and experimentation strongly desired
Must have a willingness to own critical processes and take initiative, be biased toward action
Ability to pivot quickly and learn new technologies and analysis techniques
Ability to thrive in a remote work environment, demonstrating strong project management, communication and collaboration skills.
Be highly organized with the ability to work independently.
Consistently meet deadlines in a fast-paced environment: working under pressure while prioritizing workload
The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required of personnel so classified.
**
ABOUT Ars X Machina: **
Ars X Machina (AXM) is a full-service media planning and buying agency headquartered in San Francisco, with remote employees throughout the US. We develop plans across all media—Digital, TV, Radio, Print, Outdoor, Social, Mobile, Email, Direct Mail, and Search. We handle all aspects of media, from beginning to end—research, planning, negotiating, insertion orders, billing, tracking, and optimization. We work with B2B and B2C campaigns—direct response and brand campaigns. We pride ourselves on our negotiation skills, leadership, relationships with our clients and vendors, efficiency (we move faster than big agencies), transparency, and high level of client service.