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Full-Time

Principal Data Scientist

Updated on 9/16/2024

Enable

Enable

501-1,000 employees

SaaS platform for managing B2B rebates

Data & Analytics
Consulting
Enterprise Software

Senior, Expert

Remote in Canada

Category
Data Science
Data Analysis
Data & Analytics
Required Skills
Data Science
Data Analysis
Requirements
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
  • 5+ years customer-facing, product-delivery experience, professional services, and/or consulting experience.
  • Experience working as part of geographically dispersed, diverse, and virtual teams.
  • Enjoy travel and are comfortable with travel up to 25%.
  • Demonstrated ability to work with customers and collaborate across company boundaries.
Responsibilities
  • Leads data-science projects or teams to align with business needs and deliver value.
  • Brings new value to the business by leveraging your industry experience in terms of where resources and business needs should be allocated.
  • Leverages extensive experience to drive best practices for discovering, implementing, and maintaining transformative data-science solutions for customers.
  • Leads data acquisition and understanding efforts for engineering projects using various tools and techniques.
  • Develops and applies ML frameworks and best practices for scalable and ethical solutions.
  • Has deep mathematical understanding of statistics and machine learning.
  • Incorporates best practices for ML modelling with consideration for artificial intelligence (AI) ethics.
  • Updated knowledge and LLM capabilities in developing own RAG and LLM extensions.
  • Review, supports and provides best practices for data analysis and modeling techniques.
  • Ensures selected modeling techniques are appropriate and align with desired project outcomes.
  • Decide on the next steps (e.g., deployment, further iterations, new projects).
  • Serves as industry thought leader in data science in Rebate Management.
  • Provides feedback, drives improvement, and shares knowledge as a data science and industry expert.
  • Apply deep expertise to drive novel customer experiences, including early access engineering programs.
  • Applies expertise to mitigate technical customer escalations.
  • Writes and debugs code for complex projects and leads solution development.
  • Leads ML and data-science partnerships and IP improvement.
  • Partners with diverse Enable teams to identify and explore opportunities for the novel application of machine learning (ML) and other data-science tools to above industry.
  • Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.
  • Develops new techniques/methodologies for building solutions for a specific business need based on available data.

Enable provides rebate management software for business-to-business (B2B) trading partners through its Software-as-a-Service (SaaS) platform. This platform streamlines the process of tracking and managing rebates, turning it into a strategic advantage for companies. Unlike competitors, Enable also offers educational resources through its Rebate Strategist University, helping professionals enhance their skills in rebate management. The company's goal is to empower businesses to maximize their rebate opportunities and drive revenue growth.

Company Stage

Series D

Total Funding

$273.4M

Headquarters

San Francisco, California

Founded

2016

Growth & Insights
Headcount

6 month growth

10%

1 year growth

31%

2 year growth

84%
Simplify Jobs

Simplify's Take

What believers are saying

  • Enable's significant funding rounds, including a $94 million Series C, reflect strong investor confidence and financial stability.
  • The platform's AI-powered analytics and new Settlements solution enhance decision-making and operational efficiency for clients.
  • Recognition as a High Performer in multiple G2 categories and the success of their clients, such as CarParts.com, highlight Enable's industry impact and growth potential.

What critics are saying

  • The niche focus on rebate management may limit market size and growth opportunities compared to broader financial software solutions.
  • Rapid expansion and multiple high-profile hires could lead to integration challenges and cultural misalignment.

What makes Enable unique

  • Enable specializes in rebate management for B2B trading partners, a niche often overlooked by broader financial software providers.
  • Their SaaS platform transforms rebate management from a reactive task to a strategic advantage, offering unique AI-powered analytics and settlement solutions.
  • Enable's educational initiative, Rebate Strategist University, adds value by providing practical courses and certifications, setting them apart from competitors.

Benefits

Fantastic holiday entitlement

Modern working from home policy

Flexible working hours

Regular social events

Free food and drink

Significant investment in skills development and training

Enhanced maternity pay and paternity leave

Employee equity scheme

Annual bonus

Pension

Life insurance