Module Lead- Data Science (Search and Match)

BOLD; Dadri; On-site; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Competitive salary

Bi-annual bonus

Annual Appraisal

Equity in company

100% Health Benefits

Internet & home office reimbursement

In-office catered lunch

Job summary

BOLD is seeking to expand its Data Science team in India to deliver key insights to 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 role focuses on NLP, large language models, predictive modeling, and collaboration with Engineering, Portals, BI, Product and Legal to drive end-to-end data

Qualifications

• Proficient in statistics and ML algorithms (regression, clustering, neural nets, ensembles).
• Expert Python skills.
• LLM/RAG experience for search quality and semantic retrieval.

Responsibilities

• Lead data science projects involving NLP, LLMs, predictive modeling and ML.
• Collaborate with Development & Product teams to build data products.
• Develop scalable data systems in coordination with system architects.

Skills

Python

NLP

Statistical analysis

Machine learning

Data modeling

Vector search

LLM/RAG

Experimentation

Leadership

Tools

Solr/OpenSearch/Elasticsearch

langChain

crewai

Spacy

NLTK

Gensim

TensorFlow

PyTorch

Flask

Job description

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.

Job Description

ABOUT THIS TEAM

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.

WHAT YOU’LL NEED

• 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.
• Practical LLM/RAG experience for search quality such as query understanding, semantic retrieval, reranker design.
• Experience with Solr/OpenSearch/Elasticsearch .
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc)
• Experience with embedding & vector search
• Experience in using large language models.
• Experience infeature selection, building and optimising classifiers.
• Experience working with backend technologies such asFlask/ 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.

EXPERIENCE-

• Module Lead, Data Science- 5.5 years

BENEFITS

Outstanding Compensation

• Competitive salary
• Tax-friendly compensation structure
• Bi-annual bonus
• Annual Appraisal
• Equity in company

100% Full Health Benefits

• Group Mediclaim, personal accident, & term life insurance
• Group Mediclaim benefit (including parents' coverage)
• Online Health (OPD) Consultation Benefit
• Personal accident and term life insurance coverage

Flexible Time Away

• 24 days paid leaves
• Declared fixed holidays
• Paternity and maternity leave
• Compassionate and marriage leave
• Covid leave (up to 7 days)

ADDITIONAL BENEFITS

• Internet and home office reimbursement
• In-office catered lunch, meals, and snacks
• Certification policy
• Cab pick-up and drop-off facility

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.