Senior Data Scientist

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

Experience:

• Relevant: 1 year (Preferred)

Contract Length:

• More than 1 year
• Varies

Full Time Opportunity:

• Yes