Senior Data Scientist

3 months ago
$65 - $75/hour (Estimated)Reston, VAKMM Technologies

Job Summary

  • Project Conception/Refinement -- Work alongside our product team to conceive, refine, and plan for new functionality/products that enhance FEPOC’s products/value
  • Project Management -- Shepherd projects throughout their phases, manage resources, plan out delivery, expose and mitigate risks
  • Promote/Foster Innovation -- Identify ways our modeling, processes, interactions can be improved and work with the team to propose and implement solutions
  • Represent Data Science -- Work alongside our product team to conceive and bring to life new functionality/products that impact FEPOC’s performance and value. Represent the data science team throughout FEPOC.

Responsibilities and Duties

  • Advanced proficiency in Python and Spark/Scala for classical statistical analysis and data modeling, machine learning and ETL processes.
  • Ability to write production-ready code including documentation and unit tests.
  • Experience with machine learning methods like k-nearest neighbors, random forests, ensemble methods and more.
  • Proficiency in data science modeling – AI, Machine Learning, Deep Learning, Decision Trees, Random Forest, Neural Networks, Supervised/Unsupervised Learning, Forecasting, Predictive Modeling and Clustering.
  • Strong background in machine learning using unsupervised and supervised methods.
  • Deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling, and extensive experience applying these methods to real world problems
  • Fluency in SQL and other programming languages. Some development experience in at least one scripting language (PHP, Python, Perl, etc.)
  • Proven experience of using Python Machine Learning & Data Pre-processing Libraries. (Scikit Learn, Numpy, Pandas)
  • Ability to initiate and drive projects to completion with minimal guidance
  • The ability to communicate the results of analyses in a clear and effective manner

Required Experience, Skills and Qualifications

  • 5-8 Years data science research or industry experience
  • Python proficiency -- It’s our lingua franca, and we’re big Jupyter fans
  • MS or PhD in CS or STEM -- Ability to transform concepts into practical solutions
  • Machine Learning experience -- Successful implementation of ML solutions
  • Communication Ability -- Experience/comfort in presenting abstract concepts
  • Project Management Experience -- Experience leading large DS/ML projects
  • Healthcare Experience -- Experience with data science/ML techniques as applied to Healthcare, specifically experience on recommendation engines for members and claims anomaly detection

Preferred experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata, etc.

  • Proficiency with healthcare analytics and data structures is preferred.
  • Desired interdisciplinary skills include big data technologies, ETL, statistics and causal inference, Deep Learning, modeling and simulation.
  • Intermediate to advanced ability to create data visualizations using Python.
  • Leading data science projects or teams (as the most technically advanced team member) or working independently on data science projects.
  • Experience with large data sets and distributed computing (Hive/Hadoop) a plus.
  • Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, Spark/Scala) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work.
  • Capacity to convert to a full time positions without a need for current or future sponsorship

Job Types: Full-time, Contract


  • Relevant: 1 year (Preferred)

Contract Length:

  • More than 1 year
  • Varies

Full Time Opportunity:

  • Yes