Job description 

Job overview and responsibilities

As a Senior Data Scientist on the Customer Insights & Analytics team, you will influence a multi-phased insights and advanced analytics strategy that supports a continuous cycle of listening, interpreting, driving action, and monitoring customer feedback.

The key objective of this role is to leverage state-of-the-art ML techniques to understand customer behavior and choices (Churn, CLTV, etc.), enhance qualitative (text) data insights, and automate manual processes. This role requires an individual with a passion for customers, excellent analytical abilities, and strong business acumen. We seek creative, driven, detail-oriented individuals who enjoy tackling challenging problems with data and insights. High-level responsibilities of the role include:

•  Work independently and with a team to execute solutions to business problems using data analysis, data mining, automation, statistical modeling, and machine learning techniques.
•  Understand a business problem and the available data and identify what analytics and modeling techniques can be applied to answer a business question.
•  Able to plan a data science project roadmap with clear milestones and metrics.
•  Maintain proper documentation to foster seamless workflows and code-reusability principles.
•  Continuously develop and demonstrate improved analysis methodologies.
• Prepare presentations summarizing modeling results, provide project updates, and communicate with US and India-based internal stakeholders.

Qualifications

Required 

• Bachelor’s degree in engineering or a quantitative discipline like Applied Mathematics, Statistics, or Operations Research.
• Full-time 4+ years’ experience in data science/analytics (DS preferred).
• Proven track record of developing advanced analytics models. Take ownership of modeling projects from conception through execution.
• Must be able to explain complex models to the stakeholders/business/non-technical audiences.
• Hands-on experience building driver coefficients, driver importance, predictive models, and NLP models like text classification and sentiment analysis.
• Knowledge of Machine Learning algorithms (linear regression, RF, SVM, GBM, CatBoost), Clustering techniques (K-means, Hierarchical, DBSCAN, Gaussian Mixture), and NLP techniques (Text classification, Sentiment analysis, Word2Vec, Topic Modelling).
• Highly proficient and recent experience in Python and SQL. Able to write high-performance, industry-grade, scalable code.
• Understanding of AWS Services, including Sagemaker, Redshift, Athena, S3 & AWS data lake would be highly preferred.
• Ability to work effectively with people at all levels in an organization.
• About 2-3 weeks of travel to the US annually is required.
• Must be legally authorized to work for any employer without sponsorship in India.
• Must be fluent in English (written and spoken).
• Successful completion of an interview is required to meet job qualifications.
• Reliable, punctual attendance is an essential function of the position.

Preferred

• MBA or master’s degree in data science or in a quantitative field like Math, Statistics, Operations Research
• Experience in developing & deploying the end-to-end data science pipeline into production