Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Cadent is seeking a Lead Data Scientist to shape data science strategy, manage a team, deliver ML products, and collaborate with cross-functional teams to translate data into actionable business strategies. This role applies scientific methods to identify business optimization strategies and develop prototypes and production-grade builds, leveraging mathematics and engineering knowledge to define the future of Cadent.

Responsibilities

Design, train, and apply statistics, mathematical models, and machine learning techniques to create scalable ML solutions.
Contribute iterative improvements to predictive models using the latest ML techniques, algorithms, 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 audiences, product, and business stakeholders.
Innovate by leveraging the latest algorithms, 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 stacks to align with evolving AI & ML industry.
Work with machine learning engineers, data engineers, DevOps, and software developers to deploy models and modeling pipelines.
Align with Product and business on project deliverables and timelines, providing 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 the broader data services group, including Machine Learning Engineers, Data Engineers, Analytics Engineers, Software Engineers, Quality Assurance Engineers, and Business Intelligence analysts.

Requirements

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 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.
Proficiency with open-source frameworks such as TensorFlow, PyTorch, scikit-learn, and/or other tools including PySpark, Scala.
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 algorithms including deep learning, GraphDB SVMs, time series forecasting, etc., to build and evaluate models.
Experienced in deploying models in production and enabling 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 is a plus.
Must be legally authorized to work in the United States without employer sponsorship now or in the future.

Skills

Machine Learning
Data Science
Python
TensorFlow
PyTorch
scikit-learn
PySpark
Scala
SQL
AWS
GCP
Deep Learning
GraphDB SVMs
Time Series Forecasting
LLM technologies
Generative AI
Embedding techniques
Retrieval-Augmented Generation (RAG)
Parameter Efficient Fine-Tuning (PEFT)
Model Deployment
Model Governance
Agile/Scrum
CRISP-DM

Location

Manhattan
Philadelphia
San Jose

Work Type

Full-time

Experience Level

Lead
6+ years of data science and machine learning developer hands-on experience

Education Level

M.S. or higher in computer science, mathematics, operations research, statistics or related discipline with a focus on machine learning

Salary/Compensations

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

Benefits

Inclusive health, dental, and vision plans
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

About the Company

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.

Equal Opportunity

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.