Data Scientist AIML Engineer

Data Scientist / AI/ML Engineer

12 months

Hybrid/Reston VA - Remote onsite 1-2x per QTR

Interview Process: video then onsite interview

Immediate need for a Data Scientist to support our customer a Federal Healthcare Insurance organization. The selected candidate will be responsible for identifying and solving business problems by using various numerical techniques algorithms and models in statistical modeling machine learning AI operations research and data mining. The selected candidate will use 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.

Each of our clients 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 experience and take on and lead large data science projects from inception to addition to contributing technically throughout the project you will 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.

This position is a remote opportunity with rare onsite requests in the DC Metro area. We are seeking candidates that reside in the DC MD VA area or touching states. Want to learn more about this long term contract opportunity Then you should contact Elite Technical right away for consideration!

Requirements:
- 6 years as a Data Scientist. Degreeed professionals are preferred (4 additional years of experience could replace degree)
- Python and SQL are required. Advanced proficiency in Python and Spark/Scala for classical statistical analysis and data modeling machine learning and ETL processes. Intermediate to advanced ability to create data visualizations using Python.
- AWS Cloud knowledge (AWS migration considered big plus). Must have solid knowledge in one or more AWS Service (SageMaker is REQUIRED open to AWS Glue Athena Lambda etc..)
- 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 Required
- Knowledge in Artificial Intelligence (AI) Required
- Proficiency in data science modeling - 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.)
- 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.
- 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
- Ability to transform concepts into practical solutions. Experience with data science/ML techniques
- Machine Learning experience -- Successful implementation of ML solutions
- Communication Ability -- Experience/comfort in presenting abstract concepts

Preferred not required:
- 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. - Experience with large data sets and distributed computing (Hive/Hadoop) a plus.
- Leading data science projects or teams (as the most technically advanced team member) or working independently on data science projects.

- 3 submission slots
- Remote - DMV - will consider touching states. 1-2 visits in Reston per QTR F2F interview.
- Must be willing do an onsite interview in Reston VA
- Must haves:
1. AWS service SageMaker is 100% Required. AWS services like Lamda athena AWS Glue etc.. is also acceptable
2. Building of models (deployment of models is a big plus)
3. Python is required
4. SQL is required
5. AI and ML background

Key Points from HM:
- Look for more Data Scientist/ AI/ML Engineering Backgrounds
- A lead Data Scientist with understanding of Solution designing can fit for this role
- A hands on solution architect with Data Science and AI experience can be a potential fit for this role
--- Not suitable for this role: Solution Architects with no data science background Data Architects Cloud Architects.