Data Scientist - Product Engineering

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 building and 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)
• Advise and develop features to create greater explanatory value from data sets
• Exploratory data analysis to determine trends within the data that explain performance
• 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
• Build data visualizations to quickly communicate trends within campaigns
• Partner with client servicing teams to create presentations summarizing the results of campaign optimizations, highlighting key learnings & future actions
• Develop streamlined solutions on data visualization that the Client Servicing team can employ
• Lead in marketplace analysis and trending to inform Strategists on pricing and Media buyers on buying tactics
• Partner with Design to develop and productize a client-facing visualization of campaign data & insights
• Establish statistically valid measurement practices to communicate unimpugnable campaign results
• Run ad-hoc analyses related to Product builds and Requirements to drive data-driven Product direction

Requirements

• 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 (Preferred) or R or Scala
• 3 or more years of experience with SQL
• For Python users with intermediate or better knowledge of scikit-learn or Keras, pandas, and NumPy, matplotlib or ggplot or boheh, and database interfaces
• For R users with intermediate or better knowledge of tidyverse (dplyr, tidyr, ggplot2, etc.), caret, gbm, randomForest, database interfaces (RODBC, dbi, RMySQL, etc)
• 10-15% travel per year for onsite team meetings

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 (Hadoop, Spark, or Redshift)
• Experience in AdTech or data-driven marketing

Benefits

• 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
• NatureBox credit for snacks
• 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.