Lead Data Scientist

OverviewCadent 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 Cadent.com.Right now we are looking for a highly motivated and experienced Lead Data Scientist within the Data Services Organization who will be responsible for shaping our data science strategy, managing a team of data scientists, delivering ML products and collaborating with cross-functional teams to translate data into actionable business strategies. The Sr. Director will apply scientific methods to identify business optimization strategies and develop, evaluate, and demonstrate prototypes and production grade builds.Data Scientists collaborate directly with the Business, Product, Data Engineering, DevOps 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.ResponsibilitiesM.S. or higher in computer science, mathematics, operations research, statistics or related discipline with a focus on machine learning; or the equivalent of 6-7 years’ experience in a Data Science and Machine learning role6+ years of data science and machine learning developer hands on keyboard experienceExperience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), and evaluation benchmarksProven background answering open ended research questions using data, tools and technologyAbility to write clean, expressive code in Python, use of open source frameworks such as TensorFlow, PyTorch, scikit learn) and or other tools including PySpark, Scala etc.Experience with SQL and reading from relational databases, experienced using cloud computing ecosystems (e.g., AWS, GCP)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 modelsExperienced in deploying models in production and enable model governanceStrong analytical and quantitative problem-solving abilityExperienced effectively communicating technical concepts and insights to non-technical stakeholders, influencing decision-making across the organization.Fundamental understanding of the mathematical workings of standard feature engineering, dimension reduction, machine learning algorithms and model validation & measurementFamiliarity with best practices for software engineering and the use of the scientific Python ecosystemMedia or ad-tech experience a plusQualificationsHands-on design, train and apply statistics, mathematical models, & machine learning techniques to create scalable ML solutions such as identity to solve business problems and build ML data products to enable speed to market and rapid experimentationContribute iterative improvements to predictive models using latest ML techniques, algos and tech stackLeverage model governance techniques and frameworks to ensure performance and stability of data science productsDefine project scope, objectives, and success metrics, ensuring projects are delivered on time and within budgetOversee the end-to-end lifecycle of data science projects, from problem formulation to model deployment and monitoringPresent results and findings to technical audience, product and business stakeholdersStrive to innovate leveraging latest algos, tools, data and systems while staying abreast of industry trends and best practices in data scienceParticipate in researching new data, tools, algorithms and tech stack to align with evolving AI & ML industryWork with machine learning engineers, data engineers, DevOps and software developers to deploy models and modeling pipelines to be leveraged by businessAlign with Product and business on project deliverables, timelines, provide updates on progressFoster a collaborative and innovative team culture that encourages knowledge sharing and continuous learningParticipate in the Agile / scrum processFollow the CRISP-DM process to generate robust documentation associated with iterative workCollaborate effectively with broader data services group including but not limited to Machine Learning Engineers, Data Engineers, Analytics Engineers, Software Engineers, Quality Assurance Engineers, and Business Intelligence analystsEligibility:Must be legally authorized to work in the United States without employer sponsorship now or in the future.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!Health & WellbeingInclusive health, dental, and vision plans built to support diverse lifestylesEnhanced support for reproductive health, family planning, and new parentsEmployer contribution to HSAVoluntary Benefits: Pet Insurance, LegalEase Legal Assistance, Critical Illness, Hospital Indemnity, and Accident coveragesGenerous and inclusive paid parental leaveMental health support and Employee Assistance Program (EAP)Free access to the Calm AppMonthly Wellness reimbursementSpecial discounts through LifeMart and Plum BenefitsFlexible Time Off (FTO) policy and company breaks11 observed Federal holidaysSummer Fridays between Memorial Day and Labor DayInclusion & BelongingEmployee Resource Groups that foster connection and communityDEI programming and initiativesCompany-sponsored events to bring employees togetherOffices across the U.S., including Manhattan, Philadelphia, and San JoseFinancial & Security401(k) participation with discretionary employer matchLife, Short-term, and Long-term Disability coverageCell phone and WiFi stipendPre-tax commuter benefitsAccess to certified financial coaches and planning toolsValuesPassionate. We are inspired partners.Purposeful. We create with intention.Curious. We discover what’s possible.The salary range for this role takes into account a wide range of factors considered in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications as well as other business and organizational needs. 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.Pay RangeUSD $150,000.00 - USD $175,000.00 /Yr.Job SummaryID: 2026-1411Additional Locations: US-NY-New York