Lead Data Scientist

careers-cadent; New York (NY); On-site; USD 150,000 - 175,000; Full time

Benefits offered by this job

Health insurance

HSA employer contribution

Paid time off

Parental leave

Life insurance

Disability coverage

Commuter benefits

Company events

Job summary

Cadent seeks a Lead Data Scientist to shape the data science strategy within the Data Services Organization. You will manage a team of data scientists, deliver ML products, and collaborate with Business, Product, Data Engineering, DevOps and QA to translate data into actionable business strategies.

The Senior Director will apply statistical methods to identify business optimization opportunities, develop prototypes, and deliver production-grade builds with strong governance and collaboration

Qualifications

• MS or higher in computer science, mathematics, operations research, statistics or related discipline.
• 6+ years of data science and machine learning developer experience.
• Experience with LLM technologies and generative/embedding techniques.
• Strong Python coding, with knowledge of scientific Python stack.
• Experience with SQL and cloud platforms (AWS/GCP).
• Experience deploying models to production with governance.

Responsibilities

• Lead data science projects, shaping strategy and outcomes.
• Manage a team of data scientists and deliver ML products.
• Collaborate with cross-functional teams to translate data into business strategy.
• Develop, evaluate, and productionize prototypes and models.
• Communicate insights to non-technical stakeholders and executives.
• Ensure CRISP-DM driven documentation and governance.

Skills

Machine learning

Python

Deep learning

LLM technologies

SQL

Cloud computing

Education

MS or higher in CS/Math/OR/Statistics

Tools

TensorFlow

PyTorch

scikit-learn

PySpark

AWS/GCP

Job description

Overview

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 Cadent.com.

Right now we are looking for a highly motivatedand experienced Lead Data Scientistwithin 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.

Responsibilities

• M.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 role
• 6+ years of data science and machine learning developer hands on keyboard experience
• Experience 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 benchmarks
• Proven background answering open ended research questions using data, tools and technology
• Ability 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 models
• Experienced in deploying models in production and enable model governance
• Strong analytical and quantitative problem-solving ability
• Experienced 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 & measurement
• Familiarity with best practices for software engineering and the use of the scientific Python ecosystem
• Media or ad-tech experience a plus

Qualifications

• Hands-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 experimentation
• Contribute iterative improvements to predictive models using latest ML techniques, algos and tech stack
• Leverage model governance techniques and frameworks to ensure performance and stability of data science products
• Define project scope, objectives, and success metrics, ensuring projects are delivered on time and within budget
• Oversee the end-to-end lifecycle of data science projects, from problem formulation to model deployment and monitoring
• Present results and findings to technical audience, product and business stakeholders
• Strive to innovate leveraging latest algos, tools, data and systems while staying abreast of industry trends and best practices in data science
• Participate in researching new data, tools, algorithms and tech stack to align with evolving AI & ML industry
• Work with machine learning engineers, data engineers, DevOps and software developers to deploy models and modeling pipelines to be leveraged by business
• Align with Product and business on project deliverables, timelines, provide updates on progress
• Foster a collaborative and innovative team culture that encourages knowledge sharing and continuous learning
• Participate in the Agile / scrum process
• Follow the CRISP-DM process to generate robust documentation associated with iterative work
• Collaborate 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 analysts

Eligibility:

• 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 & Wellbeing

• 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

Inclusion & Belonging

• Employee Resource Groups that foster connection and community
• DEI programming and initiatives
• Company-sponsored events to bring employees together
• Offices across the U.S., including Manhattan, Philadelphia, and San Jose

Financial & Security

• 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

Values

• Passionate. 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 Range

USD $150,000.00 - USD $175,000.00 /Yr.