Full-Time

Principal Data Scientist

Posted on 8/16/2024

Enable

Enable

501-1,000 employees

SaaS platform for managing rebate programs

Enterprise Software
Education

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 helps companies efficiently track, manage, and optimize rebates, turning a complex process into a strategic advantage. Unlike competitors, Enable also offers educational resources through its Rebate Strategist University, helping professionals improve 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

$266.3M

Headquarters

San Francisco, California

Founded

2016

Growth & Insights
Headcount

6 month growth

2%

1 year growth

3%

2 year growth

3%
Simplify Jobs

Simplify's Take

What believers are saying

  • Enable's Series D funding round raised $120 million, boosting its global expansion efforts.
  • The platform drives 40% year-on-year revenue growth for users' rebate programs.
  • Enable consistently earns High Performer recognition in G2's Reports, strengthening market presence.

What critics are saying

  • Emerging rebate management platforms could erode Enable's market share with innovative features.
  • Economic downturns may reduce spending on SaaS platforms, impacting Enable's revenue.
  • Data privacy regulations like GDPR pose compliance challenges as Enable expands globally.

What makes Enable unique

  • Enable offers AI-powered analytics for enhanced rebate management decision-making.
  • The platform reduces payment timeframes from 12 to four weeks, improving cash flow.
  • Enable's Rebate Strategist University provides educational resources for professional growth in rebate management.

Help us improve and share your feedback! Did you find this helpful?

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

INACTIVE