Sphere Digital Recruitment Group
Applied Data Scientist III
Sphere Digital Recruitment Group, San Francisco, California, United States, 94199
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Sphere Digital Recruitment Group provided pay range This range is provided by Sphere Digital Recruitment Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $160,000.00/yr - $220,000.00/yr
Title:
Applied Data Scientist III Location:
Bay Area – (Hybrid/Very Flexible) Industry:
Advertising Technology Services Salary:
$160,000 - $220,000 base + RSUs + Benefits
Overview We have partnered with a global ad tech business to hire an
Applied Data Scientist III
for their algorithmic and research science team, which sits at the core of their Exchange business, the real‑time marketplace that powers ad auctions worldwide. This group is highly technical, deeply mathematical, and research‑oriented, with many scientists holding advanced quantitative degrees.
This is a
true algorithmic research + production science role , not an applied ML engineering, analytics, LLM, or general data science position. You will design novel algorithms and deploy them directly into large‑scale production systems that influence tens of trillions of auction decisions daily. Your work will have immediate and measurable impact on auction efficiency, bidding/pacing, marketplace performance, and revenue.
Applied Data Scientist III - Responsibilities
Develop and evaluate algorithms for
real‑time auctions, bidding and pacing, dynamic allocation, traffic shaping, ad quality, and marketplace optimization .
Build models grounded in
reinforcement learning, multi‑armed bandits, online learning, Bayesian methods, causal inference, forecasting, optimization, and game theory .
Prototype rapidly and run experiments with
hours‑level feedback cycles
in a highly iterative environment.
Own scientific solutions end‑to‑end: problem formulation, theoretical modeling, algorithm design, experimentation, production deployment, and ongoing monitoring.
Partner closely with engineering and product teams to run live experiments and refine deployed algorithms based on real‑time marketplace outcomes.
Contribute to internal scientific knowledge‑sharing and participate in external research where appropriate.
Identify and pursue new algorithmic opportunities across the exchange to improve
auction outcomes, marketplace dynamics, and overall system efficiency .
Work with large‑scale distributed systems such as
Spark
and modern big‑data platforms.
Applied Data Scientist III - Requirements
PhD preferred
(Computer Science, Statistics, Math, Physics, Operations Research) or a Master's with
equivalent research depth .
5.5‑7+ years
of experience in applied research science, algorithmic modeling, or production‑scale decision systems.
Deep theoretical grounding in
optimization, probability, statistical learning theory, causal inference, game theory, or reinforcement learning .
Strong experience in
reinforcement learning, multi‑armed bandits, online learning, auction theory, marketplace modeling, dynamic allocation, pacing/bidding algorithms, or RL‑driven optimization .
Proven ability to
design original algorithms , not just apply existing ML techniques or deploy pre‑built models.
Expertise in Python and scientific computing frameworks ( NumPy, SciPy, PyTorch, TensorFlow ).
Substantial experience with
distributed computing and large‑scale data processing
(e.g., Spark).
Demonstrated ability to take research‑grade models from
prototype to production
in high‑scale systems.
Publication record or research contributions (conference papers, workshops, open‑source).
Experience in
marketplaces, auctions, optimization systems, or multi‑agent environments
is a strong plus.
This role is ideal for candidates who are:
Deeply grounded in
algorithmic research
with a strong theoretical foundation.
Experienced in
reinforcement learning, marketplace modeling, and auction/optimization problems .
Hands‑on scientists who enjoy bringing
novel algorithms
from research into high‑impact production environments.
Curious, rigorous thinkers who thrive in a
fast‑paced, research‑driven
culture.
Motivated by solving some of the most
complex, high‑scale decisioning challenges
in ad marketplaces.
Sphere Digital Recruitment currently have a variety of job opportunities across digital so feel free to get in touch with us to find out how we can help you. Please take a look at our website.
Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law.
If you require any adjustments or additional support during the recruitment process for any reason whatsoever, please let us know.
Seniority level
Entry level
Employment type
Full‑time
Job function
Advertising
Industries
Advertising Services
#J-18808-Ljbffr
Sphere Digital Recruitment Group provided pay range This range is provided by Sphere Digital Recruitment Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $160,000.00/yr - $220,000.00/yr
Title:
Applied Data Scientist III Location:
Bay Area – (Hybrid/Very Flexible) Industry:
Advertising Technology Services Salary:
$160,000 - $220,000 base + RSUs + Benefits
Overview We have partnered with a global ad tech business to hire an
Applied Data Scientist III
for their algorithmic and research science team, which sits at the core of their Exchange business, the real‑time marketplace that powers ad auctions worldwide. This group is highly technical, deeply mathematical, and research‑oriented, with many scientists holding advanced quantitative degrees.
This is a
true algorithmic research + production science role , not an applied ML engineering, analytics, LLM, or general data science position. You will design novel algorithms and deploy them directly into large‑scale production systems that influence tens of trillions of auction decisions daily. Your work will have immediate and measurable impact on auction efficiency, bidding/pacing, marketplace performance, and revenue.
Applied Data Scientist III - Responsibilities
Develop and evaluate algorithms for
real‑time auctions, bidding and pacing, dynamic allocation, traffic shaping, ad quality, and marketplace optimization .
Build models grounded in
reinforcement learning, multi‑armed bandits, online learning, Bayesian methods, causal inference, forecasting, optimization, and game theory .
Prototype rapidly and run experiments with
hours‑level feedback cycles
in a highly iterative environment.
Own scientific solutions end‑to‑end: problem formulation, theoretical modeling, algorithm design, experimentation, production deployment, and ongoing monitoring.
Partner closely with engineering and product teams to run live experiments and refine deployed algorithms based on real‑time marketplace outcomes.
Contribute to internal scientific knowledge‑sharing and participate in external research where appropriate.
Identify and pursue new algorithmic opportunities across the exchange to improve
auction outcomes, marketplace dynamics, and overall system efficiency .
Work with large‑scale distributed systems such as
Spark
and modern big‑data platforms.
Applied Data Scientist III - Requirements
PhD preferred
(Computer Science, Statistics, Math, Physics, Operations Research) or a Master's with
equivalent research depth .
5.5‑7+ years
of experience in applied research science, algorithmic modeling, or production‑scale decision systems.
Deep theoretical grounding in
optimization, probability, statistical learning theory, causal inference, game theory, or reinforcement learning .
Strong experience in
reinforcement learning, multi‑armed bandits, online learning, auction theory, marketplace modeling, dynamic allocation, pacing/bidding algorithms, or RL‑driven optimization .
Proven ability to
design original algorithms , not just apply existing ML techniques or deploy pre‑built models.
Expertise in Python and scientific computing frameworks ( NumPy, SciPy, PyTorch, TensorFlow ).
Substantial experience with
distributed computing and large‑scale data processing
(e.g., Spark).
Demonstrated ability to take research‑grade models from
prototype to production
in high‑scale systems.
Publication record or research contributions (conference papers, workshops, open‑source).
Experience in
marketplaces, auctions, optimization systems, or multi‑agent environments
is a strong plus.
This role is ideal for candidates who are:
Deeply grounded in
algorithmic research
with a strong theoretical foundation.
Experienced in
reinforcement learning, marketplace modeling, and auction/optimization problems .
Hands‑on scientists who enjoy bringing
novel algorithms
from research into high‑impact production environments.
Curious, rigorous thinkers who thrive in a
fast‑paced, research‑driven
culture.
Motivated by solving some of the most
complex, high‑scale decisioning challenges
in ad marketplaces.
Sphere Digital Recruitment currently have a variety of job opportunities across digital so feel free to get in touch with us to find out how we can help you. Please take a look at our website.
Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law.
If you require any adjustments or additional support during the recruitment process for any reason whatsoever, please let us know.
Seniority level
Entry level
Employment type
Full‑time
Job function
Advertising
Industries
Advertising Services
#J-18808-Ljbffr