BOLD is an established and fast-growing technology company that transforms work lives. Since 2005, BOLD has delivered award-
winning career services that have a meaningful and positive impact on job seekers and employers. BOLD’s robust product line includes a professional resume and cover letter writing services, scientifically validated career tests, and employer tools that help companies hire, onboard, and communicate with their staff.
The ideal candidate has a strong track record of driving software technology and product innovation through the creative use of data, data science tools, and techniques to produce business value.
Importance is placed on the ability to understand business needs and align technical implementation to optimize results.
Applicants must be highly skilled in data science and computer science techniques.
Required Responsibilities :
Demonstrate leadership through innovation in software and data products from ideation / conception through design, development and ongoing enhancement, leveraging user research techniques, traditional data tools, and techniques from the data science toolkit such as predictive modeling, NLP, statistical analysis, vector space modeling, machine learning etc.
Drive the team forward with fresh energy and ideas, providing a vision for what has to be done, winning support to execute the vision, while achieving established business objectives
Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams
Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience
Create experiments, develop performance metrics and A / B tests to evaluate product ideas
Build a better understanding of our user base through exploratory and confirmatory analysis to increase user retention and B2B opportunities
Required Qualifications :
Bachelors or Masters in a relevant technical field, such as Computer Science, Statistics or Machine Learning
4-6 years relevant data science experience, preferably with companies who have a web presence that requires deep interactions with consumers and other businesses
Ability to clearly communicate complex analytical methods and results to a non-technical audience
Understanding of product deployment and go-to-market strategy
Desired Qualifications :
Knowledge and experience using advanced statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods and / or combinations
Expert knowledge in Python, R with advanced skills in SQL and NoSQL databases. Experience using these tools to deploy models into the production environment
Experience working with Big Data and Data Science Technologies such as Hadoop, Hive, HBase, SQL, NoSQL, Redshift, Python, R, Scala, Java, Django / Flask / Twisted etc.
Experience with the ontology / taxonomies of the career / recruiting domain e.g. O*Net
Experience with software stack components including common programming languages, back-end technologies, database modeling, continuous integration, services oriented architecture, software testability etc.
Experience with Cloud infrastructure and platforms (Azure, AWS)