Cadent ignites seamless connections between brands, publishers & consumers. Our predictive AI orchestrates outcomes on any platform customers are on, across any media they consume & at any stage of the journey. To learn more, please visit thenewcadent.com.

Right now, we are looking for a highly motivated Data Scientist who will be responsible for applying scientific methods to identify business optimization strategies and develop, evaluate and demonstrate prototypes of empirical software including but not limited to machine learning, signal processing and optimization based numerical methods.

Data Scientists collaborate directly with the Business, Product, Data Engineering, and QA team members to productize AI/ML research to drive business growth. This is a critical role that needs knowledge of mathematics and engineering, output from this role will be leveraged by business, engineers and by senior executives to define the future of Cadent.

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
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
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

So, if the leading edge of media technology is the place you want to be, please contact us today and let’s start the conversation!

Cadent is an Equal Opportunity Employer and is committed to supporting all it’s employees when it comes to Inclusion & Diversity. Cadent’s policy is to provide equal opportunity for applicants & employees without regard to race, color, religion, creed, gender, gender identity or expression, sexual identity or orientation, age, national origin or ancestry, citizenship, disability or medical condition (including pregnancy, childbirth, or related medical condition), sexual and reproductive health decisions, genetic information, marital status (including domestic partnerships and civil unions), pregnancy, culture ancestry, familial or caregiver status, military status, veteran status, socioeconomic status, unemployment status, status as a victim of domestic violence or any other basis prohibited by law. and will not discriminate against the basis of disability. This commitment is honored when it comes to decisions on hiring, recruiting, training, promotions, compensations, benefits, transfers and terminations.

Cadent is seeking to actively engage with our employees from a wide variety of cultures and to connect with our clients differently. Our workforce has generational diversity that supports greater innovation when we maximize representation of all diversity. Our active employee resource groups promote engagement across all groups of individuals that are represented within the company and externally.

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