Cadent ยท 3 days ago
Associate Data Scientist
New York, NY
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 to apply scientific methods for business optimization and collaborate with various teams to productize AI/ML research.
AdvertisingMarketingTV
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 using cloud computing ecosystems (e.g., AWS, GCP) is a plus
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
Media or ad-tech experience a plus
Company
Cadent
Cadent specializes in marketing, TV advertising, cable, broadcast, dynamic Ad insertion, programmatic and TV services.
501-1000 employees
H1B Sponsorship
Cadent 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
2025 (8)
2024 (5)
2023 (11)
2022 (11)
2021 (10)
2020 (11)
Funding
Current Stage
Late StageTotal Funding
unknown2023-08-09Acquired
2013-01-01Private Equity
Leadership Team
Arash Saffarnia
Chief Architect & SVP Engineering
Mari Tangredi
SVP Global Business Development
Recent News
2025-12-12
2025-12-10
2025-12-09
Company data provided by crunchbase