KDA CONSULTING INC
Senior Data Scientist/Architect
We are seeking a Senior Data Scientist/Architect to support our customer onsite in Bethesda, MD. This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to support a fast-paced, dynamic environment and work closely with a government customer and IT developers to validate customer's data and data analytics requirements. Primary Job Duties include establishing data environments and serving as the data visualization subject matter expert. Responsibilities include: Creating and translating trend, time-series, and predictive analyses, facilitating stakeholder decision-making technical exchange meetings. Participating in hands-on work on data science for data modeling, design, model training, and implementation. Establishing the system environment for large data sets, considering aspects such as data capture, storage, extraction, process, and analysis. Using data visualization tools to create roadmaps, placemats, and process flows; creatively displaying data to facilitate customer decision-making processes. Applying data wrangling and exploration techniques. Manipulating data to gather insights from large structured and unstructured data sets and developing trend analyses. Developing algorithms to facilitate data analysis, support identification of data errors, and developing pattern analysis from multiple disparate data sources. Providing input on software implementation for analytics. Validating customer requirements and determining feasibility of solutions and alternative options. Contributing to and collaborating on executive-level briefings for the CDAO. Providing excellent organizational, analytical, data science abilities, compiling and organizing statistical information, and presenting findings to management. Strong math, coding, and analytical skills are essential to complete job requirements successfully. Qualifications include: Current TS/SCI with Poly is required. Bachelor's degree in Computer Science, Computer Engineering, or relevant STEM field. 10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Scientist, or related role. Ability to implement effective data solutions to ingest, curate, store, and retrieve agency mission, business, and IC data. Ability to establish a system environment for large data sets, considering aspects such as data capture, storage, extraction, process, and analysis. Experience using data visualization tools to create roadmaps, placemats, and process flows; and the ability to creatively display data to facilitate customer decision-making processes. Ability to manipulate data from disparate structured and unstructured sources to develop models and other detailed analysis that provide meaningful data insights. Experience with programming languages like Python, Java, SQL, and cloud technologies. Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules. Desired skills include: Depth of experience in data science, including demonstrated experience with programming languages (e.g., Python, SQL), statistical programs (e.g., R and MS Excel), and data visualization tools (e.g., Tableau, Power BI, QlikView). Data scientist certification from AWS, Google, Microsoft, Oracle, or etc. Demonstrated experience with data modeling tools to include or similar to ER/Studio, Erwin, or Lucid Chart. Deep understanding of machine learning and artificial intelligence for logical applications and techniques. Experience working in Agile and DevOps environments.
We are seeking a Senior Data Scientist/Architect to support our customer onsite in Bethesda, MD. This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to support a fast-paced, dynamic environment and work closely with a government customer and IT developers to validate customer's data and data analytics requirements. Primary Job Duties include establishing data environments and serving as the data visualization subject matter expert. Responsibilities include: Creating and translating trend, time-series, and predictive analyses, facilitating stakeholder decision-making technical exchange meetings. Participating in hands-on work on data science for data modeling, design, model training, and implementation. Establishing the system environment for large data sets, considering aspects such as data capture, storage, extraction, process, and analysis. Using data visualization tools to create roadmaps, placemats, and process flows; creatively displaying data to facilitate customer decision-making processes. Applying data wrangling and exploration techniques. Manipulating data to gather insights from large structured and unstructured data sets and developing trend analyses. Developing algorithms to facilitate data analysis, support identification of data errors, and developing pattern analysis from multiple disparate data sources. Providing input on software implementation for analytics. Validating customer requirements and determining feasibility of solutions and alternative options. Contributing to and collaborating on executive-level briefings for the CDAO. Providing excellent organizational, analytical, data science abilities, compiling and organizing statistical information, and presenting findings to management. Strong math, coding, and analytical skills are essential to complete job requirements successfully. Qualifications include: Current TS/SCI with Poly is required. Bachelor's degree in Computer Science, Computer Engineering, or relevant STEM field. 10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Scientist, or related role. Ability to implement effective data solutions to ingest, curate, store, and retrieve agency mission, business, and IC data. Ability to establish a system environment for large data sets, considering aspects such as data capture, storage, extraction, process, and analysis. Experience using data visualization tools to create roadmaps, placemats, and process flows; and the ability to creatively display data to facilitate customer decision-making processes. Ability to manipulate data from disparate structured and unstructured sources to develop models and other detailed analysis that provide meaningful data insights. Experience with programming languages like Python, Java, SQL, and cloud technologies. Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules. Desired skills include: Depth of experience in data science, including demonstrated experience with programming languages (e.g., Python, SQL), statistical programs (e.g., R and MS Excel), and data visualization tools (e.g., Tableau, Power BI, QlikView). Data scientist certification from AWS, Google, Microsoft, Oracle, or etc. Demonstrated experience with data modeling tools to include or similar to ER/Studio, Erwin, or Lucid Chart. Deep understanding of machine learning and artificial intelligence for logical applications and techniques. Experience working in Agile and DevOps environments.