Data Scientist

Location: Remote

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Lextegrity offers the leading enterprise software platform for global organizations aiming to prevent and detect fraud, corruption, sanctions violations and conflicts of interest. Our integrated platform combines continuous spend monitoring of data from systems like SAP, Oracle and Concur with workflow automation across multiple risk areas, ranging from third party due diligence to gifts and hospitality, donations and sponsorships and conflicts of interest.

Lextegrity is led by former in-house compliance and audit experts (ex-Pfizer, Avon, Mylan) who launched Lextegrity to build the dream software they wished they had when they were in-house. It is no coincidence that nearly 50% of Lextegrity’s customer base today has chosen it to enhance their compliance programs after a publicly-disclosed FCPA matter.

Lextegrity is growing rapidly, is well capitalized and has established partnerships with leading global ethics organizations, such as Ethisphere, to enable it to fulfill its mission of using technology to empower ethical action.


We are looking for an innovative, risk-minded individual to join us in developing, enhancing and evolving our proprietary risk analyses and risk scoring algorithms. This individual will work with Lextegrity’s deep anti-bribery, corruption, and fraud experience, to evolve and expand our library of risk analyses within our innovative SaaS software solution for in-house compliance, audit and investigations teams.

The ideal individual has spent years using business data to find answers to difficult questions. The individual should be obsessed with using logic and data science techniques to extract information valuable for understanding and managing risk in a variety of areas relevant to compliance, audit, investigations and other risk oriented perspectives. The individual must have technical programming expertise with data and statistical oriented programming languages as well as databases, as they will develop analyses and models in our stack to the proof-of-concept stage, while working with engineering to support them in bringing the analyses/models to production.

This role will be a close partner to our Chief Analytics Officer, but also work closely with our CTO, Head of Product, CEO and possibly with our customers and partners. This is a critical role within Lextegrity.

This position will primarily be evaluated on the candidate's experience and perspectives in the areas of business/enterprise analytics with relation to data science. This is a remote work from home position but will involve significant collaboration with the broader Lextegrity team.

Key Responsibilities:

  • Support the Chief Analytics Officer via data and insights to aid in the broad evolution of Lextegrity’s products.
  • Develop novel risk analyses and risk scoring algorithms through collaboration with the analytics and product organizations and our customers and from minimal requirements.
  • Drive the evolution of our ML/AI models to enhance the effectiveness of our risk analytics and risk scoring algorithms.
  • Evolve our code framework for specific improvements in an effort to enhance the effectiveness of risk scoring, customer settings optionality, performance optimization, and code quality or debugging efficiency.
  • Ensure data quality throughout all stages of analysis, including: data gathering, ground truth generation, normalization, transformation, and presentation.
  • Apply various data science methods to understanding the most important aspects of our product, users, and business.
  • Coordinate and collaborate with our engineering team.
  • Stay informed of the latest developments, trends, schemes, and regulations within our customers’ industries.


  • A passion for Lextegrity’s mission to use technology to empower ethical action.
  • Expertise with data and statistical oriented programming languages and frameworks, including Python and SQL, as well as, expertise with the following Python packages: pandas, sqlalchemy, and NLTK.
  • Expertise with employing and interpreting predictive models to enhance information and enable data-driven decision making using modern AI/ML frameworks (e.g., TensorFlow, scikit-learn, xgBoost, PyTorch)
  • Expertise with data visualization tools such as Tableau, Power BI, Preset, or other comparable tools.
  • Experience with enterprise data or experience in compliance / audit industries (e.g., professional service firms).
  • Experience in agile software-development environments.
  • Computer Science degree or equivalent certifications/etc.
  • Willing to travel as needed (travel restrictions permitting).

Qualifications (Plus):

  • Expertise with enterprise data from SAP, Oracle, Concur, Workday, and other transactional accounting systems.
  • Domain knowledge and experience in the Anti-Bribery and Anti-Corruption (ABAC) space, especially with the following business processes: procurement-to-payment (PTP), order-to-cash (OTC) and general financial transactions.


  • Mission driven culture, with passion for our customers and the problem we are solving
  • Competitive compensation and ownership in the business
  • Strong benefits including health, vision, dental, disability and life insurance
  • Focus on team, with respect for the individual. Flexible work from home options and unlimited PTO
  • Regular company and team-building events
  • Emphasis on diversity and inclusion

Lextegrity is an equal opportunity employer and prohibits discrimination on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Must be authorized to work in the United States on a full-time basis. No phone calls or recruiters please.


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