Data Scientist

The role:
We are currently seeking a talented Data Scientist to join us as we develop our data driven, analytic focused and predictive products to help revolutionize the law enforcement sector. As a Data Scientist, you’ll get to:

  • Build, review, and refine machine learning models related to improving the management of law enforcement officers;
  • Build data pipelines for extracting thousands of variables across 10s/100s of millions of records;
  • Collaborate with the Benchmark Research Team and other employees to build/enhance data tools/models

If you are interested in the intersection of public sector operations, research and data analytics, we believe this is an unprecedented opportunity to experience it first-hand.


  • Build, improve, and validate machine learning and statistical models
  • Select models for publishing to production clients
  • Build and implement data pipelines to transform/reshape data
  • Write, review, and maintain code and configurations (SQL/JSON/etc) for performing data models
  • Review pipeline processes, identify bugs and inefficiencies, suggest improvements
  • Prepare presentations and reports based on the results of work/analysis
  • Build and improve data visualizations to understand model performance and results
  • Create process documentation as necessary to prepare the team and company for growth/scale
  • Collaborate with other data scientists and analysts to improve work product
  • Work with stakeholders to drive decisions and measure progress
  • Build and review test cases for modelling processes and pipelines
  • Educate and learn from internal teams on best practices, relevant knowledge and specific skills
  • Work with the research, product, and engineering teams to iteratively improve results

The Candidate
The ideal candidate will be someone who has:

  • PhD in quantitative field or computer science preferred, but all applicants considered based on education, experience and demonstrated skills (eg Kaggle project)
  • A zeal for building, refining, and delivering machine learning models
    • Experience building and selecting machine learning models (eg, logistic regression, decision trees, random forest, SVM, etc)
    • Experience in building data pipelines that include flat files, structured files, and relational databases
    • Experience in Exploratory Data Analysis
    • Experience in coding/scripting for statistical modeling (e.g., Python, SciKitLearn, R, SQL, etc.)
    • Strong sense of process (ability to understand how steps relate to each other to achieve end results)
    • Strong data and numeric sense (central tendency, patterns vs noise, etc)
    • Able to learn and adapt to new technologies quickly
  • The ability to successfully manage multiple concurrent tasks/projects and meet deadlines
    • Ability to anticipate challenging situations and proactively plan appropriate actions;
    • Ability to work independently with minimal guidance from management (except in complex and non-routine situations)
  • Strong sense for working and communicating well with others:
    • Has empathy for colleagues and customers
    • Able to receive and respond positively to feedback
    • Able to work independently with minimal guidance from management (except in complex and non-routine situations);
    • Able to effectively communicate across multiple levels (customers, team members, managers) in a fast-paced environment

What we offer:

  • A truly unique experience to work for a fast-growing startup
  • We cover 75% of Medical Premiums, Dental & Vision Premiums, and offer 100% company sponsored Life Insurance.
  • Flexible PTO policy, 401k retirement savings plan and 3% employer contribution.
  • The opportunity to transform law enforcement in the US.

The fine print and how to apply:

  1. Thank you for your interest in our company and what we are building.
  2. Benchmark Analytics is an Equal Opportunity Employer. We value diversity of all kinds in our effort to create a stellar workforce of committed and passionate team members.
  3. Unfortunately, we are not able to sponsor employment visas at this time, so we can only accept applications from candidates who are authorized to work in the US.
  4. If you’d like to apply, please email your resume to