Associate Data Scientist at Cadent in New York, NY

Summary: Cadent is a company focused on creating seamless connections between brands, publishers, and consumers through predictive AI. They are looking for a highly motivated Associate Data Scientist responsible for applying scientific methods to identify business optimization strategies and developing prototypes of empirical software, collaborating with various teams to drive business growth. 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 Required Qualifications: - M.S. or higher in computer science, mathematics, or related discipline with a focus on machine learning; or the equivalent of 1-2 years' 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, fine tuning and evaluating machine learning models, preferably with the scikit-learn ecosystem - Experience with SQL and reading/writing from/to 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 - 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 - Must be legally authorized to work in the United States without employer sponsorship now or in the future Preferred Qualifications: - Experience using cloud computing ecosystems (e.g., AWS, GCP) is a plus - Knowledge of GenAI tools and capabilities is a plus Required Skills: Machine Learning, Python, PySpark, Scala, scikit-learn, SQL, Relational Databases, Cloud Computing, AWS, GCP, Computational Statistics, Feature Engineering, Dimension Reduction, Model Validation, Scientific Python Ecosystem Benefits: Inclusive health, dental, and vision plans built to support diverse lifestyles, Enhanced support for reproductive health, family planning, and new parents, Employer contribution to HSA, Voluntary Benefits: Pet Insurance, LegalEase Legal Assistance, Critical Illness, Hospital Indemnity, and Accident coverages, Generous and inclusive paid parental leave, Mental health support and Employee Assistance Program (EAP), Free access to the Calm App, Monthly Wellness reimbursement, Special discounts through LifeMart and Plum Benefits, Flexible Time Off (FTO) policy and company breaks, 11 observed Federal holidays, Summer Fridays between Memorial Day and Labor Day, 401(k) participation with discretionary employer match, Life, Short-term, and Long-term Disability coverage, Cell phone and WiFi stipend, Pre-tax commuter benefits, Access to certified financial coaches and planning tools