The Perduco Group, a LinQuest company, is seeking a Senior Data Scientist to join our team in either Dayton, OH, or Washington, DC.
The Senior Data Scientist will lead the analysis of operational activities of military, federal governmental, and/or commercial systems to obtain a rational basis for decision-making through the application of qualitative and quantitative analyses and participate in planning, scheduling, and coordinating selected analytical process phases.This position is responsible for researching and analyzing complex problems and involves discovering insights hidden in vast amounts of data to help our clients make more informed decisions. Primary responsibilities will be exploring data for business opportunities, preparing data for analysis, applying data mining and statistical techniques, and creating high impact analytic solutions.
Execute analytical experiments to help solve various problems and make a true impact across various domains and industries
Research state-of-the-art data mining methods and innovative statistical models
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Process, cleanse, and verify the integrity of data used for analysis
Develop code for predictive/prescriptive models with applied machine learning and other modeling techniques
Clearly document and present methodology, assumptions, and findings to stakeholders in the form of technical reports and briefings
Required Skills and Experience:
Bachelor's Degree in Applied Math, Computer Science, Information Systems, Statistics, or related
10+ years' experience
Great communication and collaboration skills
Good scripting and programming skills. Experience with at least one of the common data science tools, such as R, Python, Keras, etc.
Preferred Skills and Experience:
Familiarity or previous experience working with the Department of Defense
Advanced Degree (Master's or PhD)
Experience conducting research studies and analyses
Solid understanding of machine learning techniques and algorithms, such as k-NN, Decision Forests, Neural Networks etc.
Strong applied statistics skills, such as distributions, statistical testing, regression, etc.
Data-oriented personality with proficiency in using data query languages such as SQL and ability to understand various data structures and common methods in data transformation
Cloud-based Big Data analytics and associated tooling/methods: Apache Hadoop, Hive, Spark, Cassandra / NiFi, Storm, Kafka, Airflow
Experience with data visualization tools, such as GGplot, etc.
Bachelors of Mathematics (required)
Licenses & Certifications
Ability to Obtain (required)
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
We are an Equal Opportunity Employer, we are committed to providing a work environment that values and respects each Team Member as an individual and important member of our culturally diverse organization. In keeping with this commitment, the Company is dedicated to providing a work environment free from any type of discrimination based upon race, color, religion, national origin, ancestry, gender, pregnancy, age, sexual orientation, gender expression and identity, covered veteran and military status, marital status, disability, medical condition, genetic characteristics, political affiliation, or any other classification protected by law. This commitment and policy applies to all areas of employment.