Senior Data Scientist

Overview

On Site
$130,000 - $160,000
Full Time
10% Travel

Skills

A/B Testing
Data Analysis
SQL
Python
Data Manipulation
Machine Learning (ML)
Evaluation
Extract
Transform
Load
Microsoft Power BI

Job Details

We are looking for a seasoned Data Scientist to join our Analytics team to enable core business transformation. This role will be responsible for using advanced statistical and machine-learning techniques to drive improvements. You will work closely with business stakeholders to understand problems and propose & implement AI/ML solutions. You will lead the charge in A/B testing within the organization and design experiments to prove success. You will perform EDA, identify modeling opportunities, feature engineer & ETL data, implement models and their monitoring, and highlight opportunities for change.

We want to work with high-performing badasses who will play an integral part in our transformation of the company. We understand one thing: it all comes down to working with creative & committed people and enabling them to do what they do best.

 

Responsibilities:

  • Utilize advanced statistical and machine learning techniques to analyze large datasets and build new AI/ML models.

  • Conduct exploratory data analysis, feature engineering, and data preprocessing to solve business problems.

  • Facilitate the deployment and monitoring of models for real-time and batch processing.

  • Perform model evaluation and validation on a regular basis to ensure robust performance.

  • Engineer A/B tests with scientific rigor. Gather test data and validate results to present to business stakeholders.

  • Champion creative uses of existing data to solve business problems with intellectual curiosity.

  • Produce statistical and data analysis visuals (charts, infographics) to communicate findings clearly and effectively to a non-technical audience.

  • Collaborate with team members, product managers, and business stakeholders to identify opportunities for new and innovative AI/ML solutions.

  • Analysis areas could include Onboarding Credit, Ongoing Credit, Marketing segmentation, Voice-based analysis, Text mining, Sentiment analysis, Risk quantification, and Risk-based pricing.

Qualifications:

  • 3-5 years of experience in Data Science and the Financial Industry, preferably in Credit or Lending.

  • Master s degree in mathematics, statistics, computer science, or data science.

  • Experience in transforming existing processes with AI/ML-based approaches.

  • Proficiency in data manipulation. Excellent SQL and Python skills for data wrangling and ETL.

  • Experience with dashboard tools such as PowerBI or other visualization tools.

  • Experience building credit or risk models for Financial Services, Lending, or Insurance.

  • Experience in validating models to identify ongoing improvements.

  • Rock Solid data science skillset Exploratory Data Analysis, Feature Engineering, Fitting, Tuning, and Comparing models, and managing the model Lifecycle

  • Experience with statistical modeling and data analysis using programming languages such as Python.

  • Experience in ML engineering, cloud-based deployment, and machine learning model lifecycle management.

Qualifications:

  • Local & National Health Insurance

  • Dental and Vision insurance

  • Group Medical Bridge

  • 401k with Match

  • ID Protection: 100% covered by the company

  • Life Insurance: 100% covered by the company

  • Generous PTO and holidays

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.