> Markdown version of [/jobs/ext/1459673-lead-data-scientist](https://www.wearedevelopers.com/jobs/ext/1459673-lead-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Data Scientist

- **Company:** Cadent, LLC
- **Location:** Philadelphia, PA, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $175,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Application Frameworks, Cloud Computing, Encodings, Data as a Services, Relational Databases, DevOps, High-Level Architecture, Python (Programming Language), Machine Learning, Scrum Methodology, Tensorflow, Software Engineering, SQL Databases, Computational Statistics, Feature Engineering, Pytorch, Large Language Models, Deep Learning, Model Validation, Generative AI, Pyspark, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** July 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=103188bf9499c5d7

## About the Role

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., * 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, * Must be legally authorized to work in the United States without employer sponsorship now or in the future.

## Description

* 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


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)
- [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)