Data Intelligence - Data Scientist

JOB Role:- Data Intelligence - Data Scientist Sr
JOB Location: Remote, Reston, VA

PURPOSE:
Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Uses advanced analytical capabilities to support data science initiatives. Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models. Acting as a liaison and interface between analytics, business units and other departments.

The role:
It is an exciting time to join the data science team service offerings are growing, the engineering platform is rock-solid, and there are increasing opportunities for data science to make an impact to bottom line. Each of our data scientists owns their own high-impact projects, whether it is a new modeling technique delivering better predictions, a new analysis and visualization highlighting weak spots in our pipelines, or a new tool that can help the team's workflow. We're looking for a Data Scientist who can leverage their prior Healthcare experience and take on and lead large data science projects, from inception to completion. In addition to contributing technically throughout the project, lead data scientists are also responsible for: working with product to refine product requirements, managing/coordinating the efforts of other data scientists contributing to the project, and interfacing with stakeholders throughout the company. Large data science projects revolve around extending core capabilities in new dimensions, e.g., reducing claims overpayments, so prior knowledge and leadership experience are crucial.

Your day-to-day:
Project Conception/Refinement -- Work alongside our product team to conceive, refine, and plan for new functionality/products that enhance 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 performance and value. Represent the data science team throughout

Requirements:

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 Client solutions
Communication Ability -- Experience/comfort in presenting abstract concepts
Project Management Experience -- Experience leading large DS/Client projects
Healthcare Experience -- Experience with data science/Client techniques as applied to Healthcare, specifically experience on recommendation engines for members and claims anomaly detection

Required abilities and skills:
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

Preferred:

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