Data Scientist - Product Engineering

Channel Factory; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Channel Factory is seeking a Data Scientist to create analytical solutions for data-driven marketing. In this role, you will leverage your statistical and programming expertise to enhance marketing efforts by optimizing various aspects of the marketing value chain. The position requires expertise in Python, SQL, and statistical analysis, contributing to innovative data solutions in a leading marketing technology company.

Benefits

Competitive salary

Comprehensive medical benefits (Medical, Vision, Dental, and Life Insurance)

Cell Phone & WiFi Reimbursement

Gym stipend

Work-life flexibility

Qualifications

• 3 or more years of applied statistical analysis.
• Independent self-starter with limited supervision.
• Effective communicator able to simplify complex ideas.

Responsibilities

• Develop automated data wrangling processes across data streams.
• Build models using multiple algorithms for data analysis.
• Conduct text mining for suitability scoring.

Skills

Statistical analysis

Python

SQL

Data visualization

Education

BA/Master’s degree in Statistics, Engineering, Economics, or Applied Mathematics

Tools

scikit-learn

keras

pandas

numpy

Job description

Channel Factory provides intelligent marketing solutions for the next generation of contextual safety, suitability, and performance for brands and agencies. Our platform helps marketers implement, automate, and scale their marketing programs across the world’s largest video library, YouTube, and emerging growth channels. We sit at the intersection of marketing and suitability and have a mission of enabling the world’s top brands to consciously connect with the right audience in the right context, maximizing suitability and contextual performance.

Channel Factory embodies a strong start-up culture that values diversity, collaboration, and results. Our bias towards execution balances critical thinking, analysis, and pragmatic problem-solving. We expect a lot from one another and value our thoughtful and intellectually curious company culture.

The Data Scientist is responsible for creating analytical solutions for data-driven marketing. The Data Scientist leverages supervised and unsupervised learning techniques to optimize all aspects of the marketing value chain (targeting, bid optimization, messaging, media preference, Text-to-Speech). Additionally, this role will have interdepartmental responsibility by supporting new product development and data best practices.

Responsibilities

• Develop repeatable automated “data wrangling” processes across multiple incoming data streams (performance, suitability, optimization, categorization, and more)
• Build models to leverage multiple algorithms (logistic regression, random forest, GBM, RNN, CNN, CHAID, etc)
• Conduct Text Mining (Sentiment Analysis, TF-IDF, etc) concerning our suitability scoring
• Create code deployable as automated routines in production environments
• Model validation activities
• Enable supervised and unsupervised analysis of ad campaigns
• Deliver non-technical presentations of technical solutions to Product Team and Leadership
• Develop agentic frameworks to harness LLMs and utilize NLP
• Establish statistically valid measurement practices
• Recommend storage and usage practices for outputs of Data-Science processes
• Run ad-hoc analyses related to Product builds and Requirements to drive data-driven Product direction
• All other duties as assigned.

• BA/Master’s degree in Statistics, Engineering, Economics, or Applied Mathematics
• 3 or more years of applied statistical analysis
• 3 or more years of experience with Python
• 3 or more years of experience with SQL
• Experience with scikit-learn or keras, pandas, and numpy
• Ability to travel a minimum of 15% a year for onsite meetings, training, etc.

Ideal Candidate Profile

• Natural curiosity about systems, data, and behaviors
• Independent self-starter with the ability to execute with limited supervision
• Effective communicator with the ability to convey complex ideas in simple general terms
• Resourceful in the development of solutions
• Experience with big data platforms (AWS, Aurora, ElasticSearch)
• Experience with Natural Language Processing
• Experience building Data Science tools or Agentic Frameworks
• Experience in AdTech or data-driven marketing

• Work with a leading startup in a high-demand industry, and you would be working with like-minded experts aiming to transform video targeting and buying operations
• Competitive salary
• Comprehensive medical benefits (Medical, Vision, Dental, and Life Insurance)
• Cell Phone & WiFi Reimbursement
• Gym stipend
• Work-life flexibility – we value your contributions above all

About Channel Factory

Founded in 2010, Channel Factory is an award-winning marketing technology company that helps top global brands and agencies maximize YouTube advertising. Recognized as a technology innovator by Cynopsis and one of the fastest-growing companies by Inc., Channel Factory has served over three hundred of the Fortune 500 in delivering scalable, brand-safe, contextually aligned YouTube advertising software and services. By tapping into the deepest proprietary data pool on the market, the company enables highly customized, contextually aware, and dynamically optimized campaigns and provides industry-leading performance for a portfolio of clients across all industries.

Channel Factory is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Channel Factory makes hiring decisions based solely on qualifications, merit, and business needs at the time. The company also has employee resource groups focusing on encouraging inclusion and diversity in the workplace.