Marketing Data Scientist

Key Skills

Java Programming, Analytical and Problem solving, Design, Python Programming, SQL, Git, Machine learning techniques, Data science techniques, A/B Testing, NoSQL, NumPy, Pandas, SciPy, Scikit-learn, R Programming, Statistics, Algorithms, Database testing, Data Engineering, Common data structures, Mathematics, Julia

Job Description

Our team is at the intersection of marketing with large investments, products that are used by billions of job seekers and employers, and petabytes of data. We help scale marketing efforts through technology, automation, and machine learning. Through experimentation and data analytics, we establish relationships between marketing initiatives and company goals. We partner with multiple marketing teams to continually maximize desired business outcomes of marketing efforts by applying all learnings from scaling and discovery initiatives.

Responsibilities

• Work across a wide range of data engineering tasks - data extraction, data cleansing/processing, feature engineering, data integrity analysis, maintaining datasets, etc.
• Work with internal and external APIs (e.g. Google, Facebook, iSpot, Twitter, YouGov, etc) to push or pull data
• Estimate or forecast metrics and goals
• Update/refine our forecasting tools and methodologies
• Prototype, architect, and build tools (web applications, software systems) to automate and/or scale marketing processes
• Develop solutions and build prototypes to marketing problems using algorithms or models based on machine learning, statistics, and optimization, and work with engineering to productionize those algorithms
• Conceptualize and create datasets from raw data to be used for analysis and/or model building
• Communicate findings to stakeholders to drive business and marketing decisions
• Write documentation of tools, methods, and datasets
• Be up to date on how Indeed products work (logging, tracking, etc) and business goals

Who You Are

• Degree in Computer Science, Physics, Machine Learning, Math, Bioinformatics, Engineering, or equivalent technical field
• 3+ years of work experience in data science, machine learning, data engineering, or analytics roles
• Proficiency in working with SQL and/or NoSQL database technologies
• Proficiency in Python (or R/Julia/Java)
• Working knowledge of algorithms and data structures
• Proficiency with toolkits such as NumPy, SciPy, Pandas, Scikit-learn
• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, and analytics
• Strong analytical and problem-solving skills, including the ability to apply quantitative analysis techniques to real-world business problems
• Experience with version control systems such as Git
• Familiarity with Linux/Unix 
• Ability to design and analyze incrementality experiments (AB test, etc)
• Familiarity with machine learning techniques and algorithms (k-NN, SVM, DT, etc.)

Who We Are

Our Marketing team helps job seekers and employers around the world discover Indeed. Whether creating impactful advertising, coding bidding algorithms, or looking for the news stories in Indeed's labor data, Indeed marketers bring diverse skills to help shape and share Indeed’s story.