I'm looking for Data Scientist positions in Philadelphia that focus on machine learning, require an M.S. in a quantitative field, involve collaboration with cross-functional teams, and offer full-time roles.

Okay, I've searched for Data Scientist positions in Philadelphia that focus on machine learning, require an M.S. in a quantitative field, involve collaboration with cross-functional teams, and are full-time roles. I have found 56 positions for you.

Data Scientist

Philadelphia, PA

M.S.

Machine Learning

Full Time

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Data Scientist role at Cadent is fundamentally aimed at harnessing data to enhance business optimization strategies, particularly in the realm of TV brand advertising. Key responsibilities include designing and applying statistical models and machine learning techniques to solve complex business problems. This collaboration across teams—Business, Product, Data Engineering, and QA—suggests that interpersonal skills and the ability to translate complex data insights into actionable recommendations will be vital. The role demands a strong foundation in mathematics and engineering principles, indicating that the candidate will frequently confront challenges tied to model deployment and performance optimization in a fast-paced, data-centric environment. Success in this position would involve not only technical proficiency but also the ability to communicate effectively with diverse stakeholders, demonstrating the strategic significance of data insights in driving the company’s objectives within the evolving media landscape.

Company Analysis:

Cadent operates in the dynamic sector of TV brand advertising, leveraging data-driven solutions to optimize ad spending across multiple platforms. The company occupies a strategic position as it seeks to innovate within a traditionally established industry, likely appealing to candidates motivated by growth and change. The culture appears to be collaborative and heavily focused on technological advancement, with an underlying emphasis on diversity and inclusion, as seen in their commitment to employee resource groups and representation. This indicates an environment where innovation is not only welcomed but driven by a variety of perspectives. The Data Scientist role is integral to Cadent’s goals, aligning closely with their aspiration to lead in AI and machine learning applications. The position offers potential visibility to senior executives, enriching the strategic importance of the data insights provided by the candidate. Overall, this role is pivotal as Cadent looks to deepen its technological capabilities in a competitive landscape, making it an exciting opportunity for those looking to make an impact.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Describe a time when you had to tackle an ambiguous problem using data analysis. How did you approach the situation?
Tell me about a project where you collaborated with cross-functional teams. What challenges did you face, and how did you overcome them?
Can you provide an example of a machine learning model you built? What evaluation metrics did you use to assess its performance?
How do you stay updated on new algorithms and tools in data science, and can you illustrate how you applied a new technique in your recent work?
What methods do you use to ensure model governance and stability in the products you develop?
How would you approach deploying a machine learning model in a business context, particularly when it needs to integrate with existing software products?
Imagine you are working on a predictive model that is not performing as expected. What steps would you take to diagnose and address the issues?
Suppose our product team has specific business vertical KPIs that you need to align your data science initiatives with. How would you prioritize your work to meet those goals?
Why do you want to work at Cadent, and how do you see your skills contributing to our mission?
What values do you believe are important in a company culture, and how do those align with what you know about Cadent?
What recent trends in AI and ML do you think could impact the advertisement technology space?
Given your understanding of our company, how do you feel your past experiences have prepared you for this role?
If you could ask one question to the hiring manager about the team culture, what would it be?
What opportunity for growth do you see in Cadent's approach to data and AI as it relates to industry trends?
How does your previous work prepare you for adapting to new tools and technologies quickly?

Job Details

Overview Company

Data Scientist

Cadent

19 days ago

Highlight

HybridFull-time1+ yearEntry

Summary

Cadent is seeking a Data Scientist to join their team in Philadelphia, PA. The role involves applying scientific methods to identify business optimization strategies and developing prototypes of empirical software, including machine learning and optimization techniques.

About the Role

As a Data Scientist, you will design, train, and apply statistics, mathematical models, and machine learning techniques to create scalable solutions to business problems. You will collaborate with machine learning engineers and software developers to deploy models, contribute to predictive model improvements, and ensure performance and stability of data science products. You will also work with the product team to align on product roadmap and goals, participate in the Agile/scrum process, and present results to technical and business stakeholders.

About You

Required:

M.S. in Computer Science, Mathematics, Statistics, a related quantitative field, or equivalent practical experience with a focus on machine learning; or the equivalent of B.S with 2-3 years of experience in a similar role.
1+ years professional 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.
Practical experience building and evaluating machine learning models, preferably with the scikit-learn ecosystem.
Experience with SQL and reading from relational databases.

Preferred:

Experience using cloud computing ecosystems (e.g., AWS, GCP).
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.
Experience with complex ML algorithms including deep learning, GraphDB SVMs, time series forecasting.
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.
Knowledge of LLM technologies, including generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine-tuning/pre-training LLM, and evaluation benchmarks.
Media or ad-tech experience.

Cadent

Cadent powers the evolution of TV brand advertising. We provide marketers, agencies, operators, and media owners with data-driven solutions for buying and selling TV advertising. By connecting brands with opportunities across national inventory sources—cable, broadcast, and digital media—our technology improves efficiencies and boosts the results of linear, addressable, and cross-screen campaigns. For more information, visit cadent.tv.

Philadelphia, PA