95 day(s) ago

Data Scientist

Negotiable Salary


United States
English: Native Speaker
Experience: 7+ years
Employment: Full-time

B3 Group, Inc

Herndon
B3 Group, Inc. is a fast-growing Service-Disabled Veteran-Owned Small Business (SDVOSB) certified health IT firm providing end-to-end technology support services to the federal government and enterprise customers. Our values-driven team of business, IT and management professionals blend innovation and client-first thinking to deliver sustainable solutions for better healthcare outcomes. Established in 2008 and located in Herndon, Virginia, B3 Group is founded on the principles of servant leadership.

Responsibilities

Develop and document analytical models using statistical analysis, data mining, and/or machine learning
Extend conceptual models with business rules to develop logical data models
Provide guidance and support in the development of information value chain analysis, data quality metrics, and metadata capture
Evaluate alternatives for integrating legacy data sources with enterprise relational models and strategies for transactional and analytical systems to effectively share data
Collaborate with client to understand and recommend activities related to Analytics
Gather, interpret, and report on operational data from a variety of data sources
Analyze data, create and clean data sets
Develop ETL data flows between data sources as required to create data sets and perform analysis
Researches, develops, implements and utilizes statistical methods and strategies to address tactical and strategic problem sets, while working with a technical team and client business owners
Interprets and analyzes data collected from a variety of sources using statistical techniques, validating findings using an experimental and iterative approach
Model the data by simulating potential solutions to the business process or business rule deficiencies/efficiencies using machine learning and natural language processing

Requirements

Bachelor’s degree from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering or related field.
At least 8-10 years related experience in data analytics performing increasingly complex data analysis and report/dashboard development.
Proficiency querying data sources including MSSQL.
Experience working with unstructured, structured data.
Experience working with Python, HTML, JavaScript, Django as API for Data Science website development
Experience working with R, Python, Django, SQL, Azure, Pandas, for Data engineering
Experience working with Machine Learning tools and technologies including Tensorflow, Graphlab, Scikit-learn, Stanford University’s Machine Learning Library, Watson, and Aylien.
Experience working with Natural Language Processing (NLP) tools and technologies including NLTK, , GenSim, Stanford University’s Natural Language Processing Library, Textblob, and R
Experience working with Predictive Modeling tools and technologies including R, Python Sci-kit learn, , Networkx, StatsModels, and Tensorflow
Experience working with Algorithm development tools and technologies including, NumPy, StatsModels
Experience working with Visualization tools and technologies including Python visualization packages including Seaborn Matplotlib, Bokeh, In-line plots in Jupyter Notebook, as well as Javascript coding in D3.js, HighCharts, Apache notebooks using Zepellin, Tableau and PowerBI.
Proven ability to analyze data sets, identify patterns and draw insights
Ability to clearly communicate both verbally and in writing with client and team members. This will include experience documenting and presenting findings.
Excellent analytical skills, organizational abilities and problem solving skills.
Self-starter who works efficiently in a fast paced environment with changing priorities.
Must be able to obtain and maintain a government clearance.

Skills considered as a good plus

Demonstrated experience in the use of Scrum and Agile methodology and processes.
Experience supporting Department of Veterans Affairs or other federal organizations.
Prefer clinical data analytics and/or informatics experience.
Prefer current Microsoft Azure certifications.