Senior Data Scientist

Gurugram, Haryana, India

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$60,000 – $90,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data Science, AnalyticsIndustries

Requirements

Candidates should possess a minimum of 5 years of experience in Data Science, with expertise in building and validating machine learning and forecasting models using Python. They should demonstrate a passion for performing advanced analytics to uncover insights and patterns, and experience with supervised and unsupervised model techniques such as random forest, gradient boosting, support vector machines, k-means, hierarchical clustering, causal models, mixture models, and advanced modeling.

Responsibilities

The Senior Data Scientist will independently own and build forecasting models, collaborate closely with stakeholders across Product, Data Engineering & Analytics, and Business Strategy to identify opportunities and resolve business problems, develop cutting-edge solutions, perform advanced data analytics to influence decision makers, leverage data from diverse sources to provide insights and build new data-driven tools, partner with engineering teams to continuously improve data quality, develop machine learning-based applications using supervised and unsupervised models, develop and support models for prescriptive insights, automated decisioning, and insights, develop experiments to understand model impact and manage training pipelines, work with stakeholders to translate business problems into solvable data science projects, partner with data engineering to deploy models, brainstorm future use cases, mentor other data scientists and data analysts, connect machine learning applications to business needs, and facilitate process changes based on algorithmic solution implementation.

Skills

Python

Machine Learning

Forecasting Models

Random Forest

Gradient Boosting

Support Vector Machines

K-Means

Hierarchical Clustering

Causal Models

Mixture Models

Data Analysis

Supervised Learning

Unsupervised Learning

Model Validation

Model Deployment

Experiment Design

Zinnia

Insurance technology for life products

About Zinnia

Zinnia focuses on improving the life and annuity insurance market by providing a platform that simplifies the creation, management, and servicing of insurance products. The platform uses technology and data analytics to help insurance companies launch products faster and manage them more effectively. This results in a better buying experience for consumers and increased operational efficiency for insurers and financial advisors. Zinnia's platform is user-friendly, allowing consumers to easily understand and purchase life and annuity products. The company aims to enhance the relationship between customers and insurers, ensuring better protection and improved wellbeing for consumers. Unlike its competitors, Zinnia emphasizes real-time data sharing and actionable insights, which help all parties make informed decisions.

Topeka, KansasHeadquarters

2005Year Founded

$1.7MTotal Funding

SEEDCompany Stage

Data & Analytics, FintechIndustries

501-1,000Employees