Data Scientist II

Key Skills

Java Programming, Python Programming, AWS, Big Data Technology, Apache Hadoop, Scala Programming, SPARK Programming

Job Description

The strength of our solutions and brand combined with your expertise empower us to literally change peoples' lives!

Who We Are:

This is an exciting time at CareerBuilder as we continue the rapid growth of our global HR Software as a Service operation. Fueled by technology that is years ahead of the competition, we're doing something the industry has never seen before: unifying the recruiter experience in one pre-hire platform that is always on, is data-driven and is easy to use. You'll see us expand into more markets with innovative products and services that are changing the way companies recruit new talent around the world. As a Data Scientist at CareerBuilder, you'll have the opportunity to do something extraordinary. Our employees are what drive our success and are at the very core of our identity.

About the team:

The Data Science R&D team is composed of Data Scientists with expertise in areas such as Deep Learning, Machine Learning, Applied Statistics, and High-Performance Computing (among others). The team partners with line-of-business leaders across the technology department to deliver the best possible customer experience. The team also works on cross-disciplinary efforts with other Data Scientists within CareerBuilder. As a result, the R&D Data Scientists are exposed to a wide cross-section of business functions.

As the progenitor of the R&D culture at CareerBuilder, the Data Science R&D team operates as an industrial R&D lab. This usually involves fast, iterative research spikes and deep dives into research topics that are then developed into production quality systems using open-source and in-house technologies. The team also actively publishes and presents at various academic and industry conferences. Some examples of projects that we are working on: semantic search, developing a large-scale jobs recommendation system, building knowledge bases and leveraging semantic web technologies for large-scale company name normalization, creating one of the worlds' largest job skill and job title taxonomies, intelligent job skills extraction and tagging, job spam detection, job seeker profile de-duplication, applied machine learning for large-scale job title and job category classification and combining all these building blocks into a Human Capital Graph (HCG) to close the skills gap between job seekers and employers.

Job Requirements:

Job Requirements About the role:

The diverse expertise of our team members enables us to collaborate across projects to deliver value to our customers as well as learn from each other. We are looking for a Data Scientist who will complement our current strengths. Specifically, we are looking for candidates with the following characteristics:

• Ph.D. in Computer Science, Applied Statistics, Mathematics, or closely related area
• Primary expertise in Deep Learning, Machine Learning, Natural Language Processing (NLP) and related areas and Big Data technologies ((Distributed Computing platforms such as Hadoop and Spark, NoSQL databases, Distributed Real-time Systems)
• Knowledge in Statistical and mathematical analysis and data mining techniques such as linear models, GLMs, Monte Carlo Markov Chain, multivariate analysis, stochastic models, time-series analysis, causal analysis and Bayesian and frequentist statistics.
• Publications in academic and industry conferences and/or peers reviewed scientific journals in the field of data science and AI. As a member of the team, you will represent CareerBuilder and the Data Science R&D team at academic and industry conferences.
• Hands-on experience (either in industry or academia) with statistical analysis and ML packages
• Hands-on experience in one or more modern Object-Oriented Programming languages (Java, Scala, Python) including the ability to code in more than one programming language. Our engineers work across several of them, sometimes simultaneously.
• Hands-on experience in implementing batch and real-time Big Data integration frameworks and/or applications, in private or public cloud, preferably AWS, using various technologies (Hadoop, Spark, etc.); debugging, identifying performance bottlenecks and fine-tuning those frameworks.
• Apply statistical and predictive modeling techniques on CareerBuilder’s Big Data to inform product decisions and understand user engagement, retention and leads.
• Design and interpret experiments intelligently to inform the product roadmap.
• Willing to do deep dives into new research areas to solve tough problems.
• Must demonstrate ability to implement algorithms in published papers.
• Good written and verbal skills. Be a team player with strong empathy for our internal and external customers. Ability to effectively collaborate with R&D team members as well as across teams.

Benefits-We’re All About You! 

When you're focused on the goal, not the path – you can be more flexible, and that translates into more productive and satisfied employees. From flexible hours to volunteering during work hours to diverse education opportunities, CareerBuilder is committed to helping employees strike a balance.

Here are just some benefits we offer:

• Training that positions you to hit the ground running with ongoing learning and development courses; we never stop investing in our people.
• Comprehensive Medical, Dental & Vision Programs
• Education Reimbursement Program allowing up to $5k per year towards completion of a Bachelor’s and non-MBA graduate degree, and up to $10K per year towards completion of an MBA
• Global Wellness initiatives to promote financial, mental and physical health and well-being
• 401(k) Program with a two year vesting schedule, discretionary match, and an opportunity to make Pretax and Roth contributions