Knowledge Anywhere

Senior Data Science Engineer

Knowledge Anywhere

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $130,000 - $160,000 per year

Job Level

Senior

Tech Stack

NumpyPandasPythonScikit-LearnSQL

About the role

  • Work back from the business problems to be solved, collect proper data to do statistical analysis, select proper machine learning and/or deep learning modeling approaches, eventually rollout ML models in production environment to perfect business decision.
  • Coach junior associates during project collaborations.
  • Understand business needs and explore appropriate data sources - be curious and proactive in exploring and understanding data.
  • Perform data aggregation, and feature engineering needed; write Python programming code to make visualizations, build, validate, and implement models.
  • Collaborate with other data scientists and engineers.
  • Be flexible and open to innovative ideas and alternative ways of solving problems.
  • Be able to clearly communicate with and present the results to non-tech partners.

Requirements

  • Master's degree (or higher) in Statistics, Data Science, Mathematics, Economics or related analytical discipline.
  • At least one years’ experience in building end-to-end models in python (or similar language) through production. This requirement can be omitted for Ph.D. degree holders.
  • Proficiency in SQL and Python programming languages (pandas, numpy, scipy, scikit-learn, etc.)
  • In-depth understanding of statistical knowledge and machine learning algorithms. Exposure and some deep learning knowledge are required.
  • Specifically, expertise with the following techniques are must-haves to perform daily work: Linear Regression and GLM, GBM, Random Forest, XGboost, segmentation techniques, etc. Knowledge on Large Language Models and Neural Networks are nice to have.
  • Effective communication skills.
  • Ability to learn new skills and independently take on tasks.
Benefits
  • EOE including disability/veteran
  • At Anywhere, compensation varies by knowledge, skills, and experience. Bonuses, incentives and benefits, depend on the position

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningdeep learningstatistical analysisdata aggregationfeature engineeringPythonSQLLinear RegressionGLMRandom Forest
Soft skills
coachingcommunicationcuriosityproactivityflexibilityproblem-solvingcollaborationindependencepresentation skillsability to learn
Certifications
Master's degreePh.D. degree