Smarsh is hiring a
Data Scientist

Summary

Join Smarsh as a Data Scientist and analyze unstructured communications data to address problems for customers through attentive listening, astute planning, and out-of-the-box thinking. The role involves working with Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions across various tools and platforms.

Requirements

• Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…)
• Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…)
• Understanding and Experience of NLP Techniques in traditional pipelines, metrics, process and evaluation for supervised and unsupervised learning
• Familiarity with Deep Learning techniques for NLP
• Familiarity with LLMs
• Excellent verbal and written skills
• Proven collaborator, thriving on teamwork
• Self-learner
• Good relationship building skills
• Bachelor’s degree in Computer Science, Applied Math, Statistics, or a scientific field
• Approx. 2 to 5 years experience working with data & analytics (including school)
• Experience working with Python
• Familiarity with SQL and noSQL databases
• Knowledge of “Big Data” frameworks like Hadoop, spark and Kafka are a plus
• Familiarity with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse
• Experience using Git, Linux/Unix, an IDEs

Responsibilities

• Development of machine learning models and other analytics following established workflows
• Data annotation and quality review
• Exploratory data analysis and model fail state analysis
• Methodology, results and insights reporting, including model Governance report drafting in collaboration with senior team members
• Client/prospect guidance in machine learning model and analytic fine-tuning/development processes