Vice President of Analytics

n n nnClicktripz is a travel technology company building critical solutions for suppliers, publishers, advertisers and travelers.

From private advertising marketplaces that connect the industry with a single line of code, to cloud-based data services that power personalized commerce—Clicktripz combines terabytes of data with industry expertise to drive revenue at scale.nn nnThat’s why the world’s leading travel suppliers, publishers and advertisers rely on Clicktripz to acquire and monetize qualified traffic.

The platform currently comprises thousands of active campaigns from worldwide partners, addressing over one hundred million travelers per month.nn nnFounded in 2010, Clicktripz is headquartered in California, with team members in 15 states throughout the US and Canada, along with London, Berlin, Singapore, and Mexico City.nn nWhy Join Us?n nnClicktripz is among a rare set of winners in the tech space that have grown the old fashioned way, by generating profits.

How does this benefit you?

When the ‘venture funded’ startups have burnt through their cash, we’ll still be growing, and so will your career.nn nnIf you are looking to punch a time card, we’re not the right fit for you.

We live in a fluid environment where innovation is the only constant.

We seek self-starters with massive brains.

We take pride in fostering an environment that supports a healthy work-life balance.

We like what we’ve built, we like what we do, and we like working with each other.

We’re excited about the future and hope you can join us.nn nSoftware Engineer
– Ad Techn nnAs a software engineer on the ad tech team, you will leverage your skillset to develop algorithms and deploy production grade, scalable, ad tech systems.nn nn Responsibilities include, but are not limited to: nn Design, implement, test, and deploy new features to the ad tech backend stack.

Example projects include: bidding algorithm optimizations, budgeting and pacing enhancements, bidding simulations, and building out RESTful endpoints for dashboards Maintain and, when necessary, refactor the core software libraries used to keep the Clicktripz ad exchange humming Build containerized ad tech services that can scale globally nn Minimum Qualifications nn 3+ years minimum experience in software engineering 1+ years of experience working with containerized applications (Docker, RKT) Bachelor’s Degree in Computer Science or a related field Experience building scalable web services in production, and a solid understanding of the entire web stack You have excellent communication skills.

We are a remote and global company with clients and employees all around the globe Experience writing highly optimized code in a dynamically interpreted language like PHP, Node, Python You’re a fast learner, and passionate about discovering new technologies Experience working with public clouds e.g.

AWS nn Preferred Qualifications nn Strong experience with an OLTP RDBMS like Postgres on RDS nnAs a senior software/data engineer working on our data platform, you will leverage your expertise to help maintain all of the critical ETL pipelines and infrastructure at Clicktripz, while continuing to innovate on the toolset that the rest of the team utilizes to process data within their own systemsnn nn Responsibilities include, but are not limited to: nn Manage the configuration, deployment, and maintenance of our ETL service stack Ensure our data pipeline scales out to support throughput to the tune of billions of records per day with minimal end-to-end latency Coordinate with the Analytics and Data Science teams to define and add new record types to the system Adhere to industry best-practices for unit testing, end-to-end testing, continuous integration, and security Monitor the state-of-health of the system, and jump in to diagnose the root cause of errors when they occur nn Minimum Qualifications nn Bachelor’s Degree in Computer Science or a related field; or equivalent experience 5+ years of experience as a software/data engineer 2+ years of experience with data warehousing applications utilizing tools like Hadoop, Amazon Redshift, Google Spanner, Apache Hive 2+ years developing cloud-based applications and infrastructures (AWS, GKE, Azure) Experience with real-time streaming applications such as Amazon Kinesis, Apache Kafka, or Apache Storm Excellent knowledge of data backup, recovery, security, integrity and SQL Comfortable building container-based solutions You have excellent communication skills.

We are a remote and global company with clients and employees all around the globe nn Preferred Qualifications nn Familiarity with a BI Platform like Tableau or DOMO Familiarity with database design, documentation, and coding Familiarity with Cloudformation, Terraform, Ansible or similar infrastructure management tools Experience working in highly distributed container-based systems (Kubernetes, ECS) nnAs a data scientist, you will leverage your expertise to develop machine learning solutions to large scale data-centric problems at one of the largest travel based ad tech companies in the worldnn nnThe Data Science team at Clicktripz deploys models at scale, runs rigorous statistical analysis, and builds technologies that empower the company to make evidence-based decisions.

We value candidates who are driven to produce work that is high quality and rigorous, who are passionate about innovating, and who are dedicated to continuous educationnn nnCome join us and grow your career while having an impact.nn nn Responsibilities include, but are not limited to: nn Collaborate with the Clicktripz product and engineering groups to deploy, monitor, and maintain production machine learning systems Use machine learning capabilities to guide feature development and identify new business opportunities Generating client-facing reports of product performance and impact to assist business groups in selling the benefits of the Clicktripz platform Enable others in the organization to utilize your work by creating internal tools and dashboards nn Minimum Qualifications nn Bachelor’s Degree in computer science, machine learning, statistics, econometrics or related field.

Masters, Ph.D.

or equivalent experience preferred 2+ years of experience in applied machine learning, predictive modeling, and statistical analysis A solid foundation in modern machine learning algorithms Experience using R, Matlab, Jupyter or other statistical software Fluency in Python Experience working with containerized applications and orchestrations systems e.g.

Docker, Kubernetes Excellent communication skills
– while the Data Science group is currently located in Los Angeles, we are a global company with clients and employees all around the world nn Preferred Qualifications nn Familiarity with a BI Platform like Tableau or DOMO Working experience as a software engineer, familiar with the software development lifecycle and pushing code to production Experience with deploying or maintaining highly reliable web applications nnHelp us get a grip around our growing data assets as one of the largest travel ad networks in the worldnn nnYour role will be to extract signal from all the noise and help all the key stakeholders in the business make informed decisions based off of insights from the data we collectnn nn Responsibilities include, but are not limited to: nn Lead a growing analytics department Own the reporting of business KPIs to all teams (finance, sales, product, engineering, etc…) Oversee management, architecture, and strategy of our self-service BI platform Lead strategy and collaboration between analytics and its many business partners and stakeholders, including data science, data engineering, finance, and product Oversee analytics architecture, making sure it can scale as our data asset grows in many magnitudes Present and explain analyses and insights to major stakeholders and the executive team nn Minimum Qualifications nn 7+ years of relevant work experience in analytics, business intelligence, or data science 5+ years of experience hiring and managing teams Bachelor’s or Master’s degree (Ph.D.

a plus) in Business, Economics, Finance, Data Science, Statistics, Applied Math, or another quantitative field Deep knowledge of digital advertising business models and e-commerce metrics Experience building and maintaining data warehousing schemas i.e.

OLAP architectures Strong data visualization skills and familiarity with data visualization platforms nn Preferred Qualifications nn Strong knowledge of modern cloud data storage and pipeline solutions (AWS preferred) Strong understanding of statistical modeling and inference Hands-on expertise with SQL, R, Python and data manipulation n n