Data Scientist- Machine Learning Engineer

Pymetrics New York , NY 10016

Posted 3 weeks ago

Using neuroscience-based assessments and machine learning algorithms, pymetrics is reinventing the recruiting industry by matching candidates to jobs where they are most likely to succeed. We are leading the charge in an evolving industry and growing our amazing team to support the mission of using data to unleash one's full potential.

We are looking for a talented data scientist with strong machine learning experience to join our core product development team. Data scientists on the core team contribute to the predictive modeling used throughout pymetrics to match job candidates to roles, audit algorithms for potential bias, and optimize solutions for faster, more robust analyses. You will work on an academically diverse team (with backgrounds in machine learning, statistics, behavioral science, and computer science) to test new methods and optimize existing solutions.

The ideal candidate would bring experience building scalable predictive algorithms in a production environment. We value an ability to communicate with a bright team from diverse backgrounds, and the initiative to tackle interesting problems independently and with scientific rigor.

Responsibilities include:

  • Develop machine learning solutions for new and existing data products relating to hiring
  • Write production level code for practical application of data products
  • Apply statistical and machine learning techniques to identify trends in data
  • Work with clients to apply custom data science solutions to unique problems
  • Collaborate with and train other members of the data science team
  • Interact with data scientists, analysts, engineers and product managers on other data products implemented at pymetrics, including language analysis, psychometric assessment, statistical analysis and data visualization


About you:

  • MS/PhD preferred
  • 2+ years experience in data science/machine learning preferred
  • Experience with making predictions from both structured and unstructured data
  • Practical knowledge of Python and its scientific libraries SciPy, Scikit, Pandas, and NumPy, with extensive knowledge of programming best practices
  • Solid foundation in machine learning models, processes, and theories, with the ability to evaluate different algorithmic approaches
  • Working knowledge of statistics and probability (statistical inference, Bayesian statistics)
  • Embodiment of our core company values of motivation, positivity, curiosity, humility and integrity, and buy-in for our company mission of eliminating bias in hiring
  • Willingness to relocate or regularly travel to the NYC metro area

Nice to Haves:

  • 1+ years experience in deep learning, including familiarity with Keras, TensorFlow and/or PyTorch
  • Comfort with SQL
  • Knowledge of psych/cogsci/neuroscience research
  • Interest in issues of transparency and fairness in AI
  • Eye for data visualization and presentation of data-driven insights

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


  • Health care plan (medical, dental & vision)
  • Flexible paid time off
  • Family leave (maternity, paternity)
  • 401k
  • Team budget for training & development
  • Stock option plan
  • Commuter transportation reimbursement
  • Dog-friendly workplace
  • Fun, diverse and intellectually eager coworkers
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