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 predictive modelling, NLP, 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

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.
Experience in feature selection, building and optimising 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.

EXPERIENCE-

Software Engineer- 2.5 years+
Senior Software Engineer-4.5 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.