Job Description

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 activities.
• Feature engineering to create greater explanatory value from data.
• Exploratory data analysis to determine trends within the data that explain performance.
• Build models to leveraging multiple algorithms (logistic regression, random forest, GBM, RNN, CNN, CHAID, etc).
• Conduct Text Mining (Sentiment Analysis, TF-IDF, etc).
• Create code deployable as automated routines in production environments.
• Model validation activities.
• Conduct supervised and unsupervised analysis of ad campaigns.
• Data visualization to quickly communicate trends within campaigns.
• Create presentations summarizing the results of campaign optimizations.
• Establish statistically valid measurement practices to communicate unimpugnable campaign results.

IDEAL CANDIDATE PROFILE

• Natural curiosity about systems, data, and behaviors.
• Independent self-starter with the ability to execute with limit 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.

REQUIREMENTS

• Masters degree in Statistics, Engineering, Economics, or Applied Mathematics.
• 5 or more years of applied statistical analysis.
• 5 or more years of experience with Python (Preferred) or R or Scala.
• 3 or more years of experience with SQL.
• For Python users intermediate or better knowledge of scikit-learn or keras, pandas, and numpy, matplotlib or ggplot or boheh, and database interfaces.
• For R users intermediate or better knowledge of tidyverse (dplyr, tidyr, ggplot2, etc.), caret, gbm, randomForest, database interfaces (RODBC, dbi, RMySQL, etc).

BENEFITS

• Work with a leading startup in a high-demand industry, and you would be working with like-minded experts aiming to transform video ad operations
• Competitive salary + bonus
• Comprehensive medical benefits (Medical, Vision, Dental, and Life Insurance)
• Cell phone and Wifi Reimbursement
• NatureBox credit for snacks
• Work-life flexibility we value your contributions above all

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, including an LGBTQ+ committee.