Module Lead- Data Science (Fine Tuning)
Location: Noida, Uttar Pradesh, India
Department: Data Engineering & Analytics
As the 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
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.
WHAT YOU’LL DO
- Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc.
- 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
- Collaborates effectively with cross functional teams to deliver end-to-end products & features.
- Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements.
- Estimates efforts, identify risks, devises and meets project schedules.
- Runs review meetings effectively and drive the closure of all open issues on time
- Mentors/coaches data scientists to facilitate their development and provide technical leadership to them
- Rises above detail to see broader issues and implications for whole product/team
- Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods
- Expert knowledge in Python.
- Experience in using large language models. Fine-tuning knowledge is good to have.
- Experience in feature selection, building and optimizing classifiers.
- Experience working with backend technologies such as Flask/ Gunicorn etc.
- Experience on working with open source library such Spacy, NLTK, Gensim etc.
- Experience on working with deep-learning library such as Tensor flow, Pytorch etc.
- Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc.
- Be a keen learner and enthusiastic about developing software
- Module Lead Data Science- 5.5 Years +
About Bold
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 don't 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.
Under San Francisco's Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position.
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