Position Summary :
In this critical role, you’ll combine your analytical and data science skills to deliver key insights to our Product and Engineering teams.
You will help develop data science and machine learning techniques that can be bundled as micro-services integral to Bold’s data platform.
You will work with teams whose domain experience include Big Data, Business Intelligence, and core product development.
Required Responsibilities :
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 that leverage Big Data sets and machine learning techniques to enhance user experience and engagement
Build a better understanding of our user base through exploratory and confirmatory analysis to increase user retention and B2B opportunities
Develop entity taxonomies, knowledge bases and graphing techniques to find deep insights and recommendations for users in career space
Develop deep learning techniques to do user segmentation and cohort analysis
Mentor and coach related team members
Required Qualifications :
Bachelors or Masters in a relevant technical field, such as Computer Science, Statistics, Data Science, Data Engineering, Machine Learning
3-4 years of relevant experience in Data Science and Machine Learning
Deep understanding of data analysis, statistical techniques, natural language processing and knowledge base, graph systems
Expertise in database querying (SQL, noSQL), search techniques, web services etc,
Excellent problem-solving skills
Domain expertise of data analysis tools (Python, R, Octave / MATLAB, or similar)
Fluent in a programming language (Python, Ruby, PHP, Java or similar)
Understanding of cloud computing (Amazon Web Services or Microsoft Azure)
Familiarity with the Hadoop ecosystem, including HDFS, MapReduce, Hive, and Spark
Write reusable, efficient code to automate analysis and data processes
Ability to clearly communicate complex analytical methods and results to a non-technical audience
Ability to map Data Science techniques to solve product and business problems to increase consumer and retention