AdTheorent · 2 months ago
Associate Data Scientist
US-NY-New York
Full-time
Onsite
New Grad, Entry Level
$90K/yr - $110K/yr
0+ years expCadent is a company that ignites seamless connections between brands, publishers, and consumers through predictive AI. They are seeking a highly motivated Associate Data Scientist who will apply scientific methods to identify business optimization strategies and develop prototypes of empirical software, focusing on machine learning and statistical modeling.
Ad NetworkAdvertisingArtificial Intelligence (AI)Machine LearningSaaS
Responsibilities
Design, train and apply statistics, mathematical models, and machine learning techniques to create scalable solutions to business problems
Work with machine learning engineers and software developers to deploy models and modeling pipelines to be leveraged inside of business software products
Contribute iterative improvements to predictive models
Leverage model governance techniques and frameworks to ensure performance and stability of data science products
Work with product team to align on product roadmap and goals with business vertical KPIs
Participate in the Agile / scrum process
Follow the CRISP-DM process to generate robust documentation associated with iterative work
Present results and findings to technical audience, product and business stakeholders
Collaborate effectively with other members of the data science team, engineering research team and broader data services group including but not limited to Machine Learning Engineers, Data Engineers, Analytics Engineers, Software Engineers, Quality Assurance Engineers, and Business Intelligence analysts
Participate in researching new data, tools, algorithms and tech stack to align with evolving AI & ML industry
Qualification
Required
M.S. in Computer Science, Mathematics, Statistics, a related quantitative field, or equivalent practical experience with a focus on machine learning; or the equivalent of B.S with 2-3 years of experience in a similar role
0-1 years professional experience in a similar role
Proven background answering open ended research questions using data, tools and technology
Ability to write clean, expressive code in Python and/or other tools including PySpark, Scala etc
Practical experience building and evaluating machine learning models, preferably with the scikit-learn ecosystem
Experience with SQL and reading from relational databases
Experience with the practical application of computational statistics
Fundamental understanding of the mathematical workings of standard feature engineering, dimension reduction, machine learning algorithms and model validation & measurement
Experience with the practical application of computational statistics and complex ML algos including deep learning, GraphDB SVMs, time series forecasting etc. to build and evaluate models
Demonstrated communication skills including the ability to switch between technical and business contexts
Familiarity with best practices for software engineering and the use of the scientific Python ecosystem
Knowledge of LLM technologies, including generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), and evaluation benchmarks
Preferred
Experience using cloud computing ecosystems (e.g., AWS, GCP)
Media or ad-tech experience
Company
AdTheorent
AdTheorent’s is a machine learning technology powers predictive targeting, predictive creative, and self-learning insights.
201-500 employees
H1B Sponsorship
AdTheorent has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2021 (2)
Funding
Current Stage
Public CompanyTotal Funding
$125.5MKey Investors
H.I.G. Growth PartnersVerizon Ventures
2024-04-01Acquired
2021-12-23Post Ipo Equity· $121.5M
2021-12-23IPO
Leadership Team
Andrew Anderson
CTO
Rachel Quigley
SVP, Partnerships
Recent News
2025-05-04
2025-03-20
Company data provided by crunchbase