Data Scientist

Lexical Intelligence, LLC, seeks a Data Scientist in Rockville MD to serve as a technical advisor and support analytics needs; understand emerging technologies and demonstrate the ability to analyze and solve problems; partner with business analytics to frame and translate business needs into appropriate research questions for the team; collaborate with the team to provide strategic assessments of methods and technologies related to development and design standard operating procedures; use Python and alternate programming languages, such as Java and SQL, to mine complex dataset from different varieties of sources and platforms; manage data pipelines, develop data tables, create relevant scripts and code for analytical purposes; execute models and apply statistical tools to perform data analysis; develop well-managed data solutions to automate the frameworks of business logic/rules for data analysis; build Dashboards to demonstrate results and data findings for clients/customers; partner with the business analysts to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization; work directly with end users and managers to procure business requirements and translate into technology work instructions; drive analysis that provides meaningful insights on business strategies; drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions; work collaboratively with appropriate tech teams to build database and data access governance; collaborate, create and organize database in Azure SQL, provide a single Python API to update and optimize the efficiency of data query; draft documentation to monitor and report on data management and data quality; build pipelines for data exploration and visualize workforce data in Python; use Principal Component Analysis (PCA) for dimensionality reduction; use K-means clustering and Hierarchical clustering to discover conceptually meaningful classes of object; use NumPy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-Learn libraries to visualize data trends and export template deliverables; build an interactive dashboard by Streamlit library for Demonstration. Utilize the following technologies: Python, Java, PostgreSQL, Excel and Microsoft Office Suites, Power BI (dashboard), Qlik (dashboard), Natural Language Processing (NLP), Data Analytics/Data Science, Database, Data Visualization, Programming/software development, Statistics, Predictive Analysis.

Qualified candidates must have a Bachelor’s degree in Data Analytics, a related field, or a foreign equivalent. In addition, candidates must have work experience, coursework experience, or university experience utilizing the following: Python, Java, PostgresSQL, Power BI Dashboard, Qlik, using  data and algorithms to enable artificial intelligence (AI) to gradually improve its accuracy, including Data Mining to explore data and extract insights, Natural Language Processing (NLP), Data Analytics/Data Science, translating data requirements into Conceptual Design, building pipelines to organize/process the data, and database architecture, Data Visualization, Programming/Software development, Statistics, and Predictive Analysis. Yearly salary is $91,500 - $96,500. Relocation to various unanticipated client locations throughout the US is possible. Relocation costs not paid. This is not travel, but is a change in the work location.

Lexical Intelligence, LLC, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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