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BOLD is expanding its Data Science team in India. You will work on data-driven product improvements using large user data sets, applying NLP and machine learning to derive actionable insights. The role emphasizes collaboration with Engineering, BI and Product teams to build scalable data products.
The team focuses on resume parsing, ranking, content generation and conversion analysis, with exposure to state-of-the-art ML methods and modern data tools.
BOLD is seeking for newest addition to our existing Data Science team, you ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products - More towards the role required
The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.
The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.
We Transform Work Lives
As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.
We Celebrate And Promote Diversity And Inclusion
We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We dont discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.