Data Scientist

• Lead and perform hands-on data analysis to support the development of predictive models, visual analytics, and reporting solutions.
• Extract, clean, transform, and interpret transactional and related datasets within a defined problem space to support model development and analytical reporting.
• Apply statistical and machine learning techniques to design, evaluate, and deploy predictive models that inform mission decisions.
• Explore and compare a variety of modeling tools, methods, and programming languages to identify high-performing analytical approaches.
• Support exploratory data analysis, feature development, training set construction, and model evaluation activities.
• Work collaboratively within a large Agile development team., * This is a hybrid position based in Ashburn, VA, with onsite support expected one to two days per week and additional onsite presence as required by mission needs.

Environmental Requirements:

• Mainly a routine office environment.
• May be required to lift up to ten (10) pounds.
• Flexible in working extended hours.

The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.

• Two (2) or more years of experience in data science, advanced analytics, machine learning, or related technical work is required.
• Experience developing machine learning models and applying advanced analytics techniques to solve complex business problems.
• Proficiency with programming languages such as R, Python, Scala, or Java.
• Strong SQL programming skills and experience constructing queries to extract and prepare data for exploratory analysis and model development.
• Experience with statistical software and analytical tools such as SAS, SPSS Modeler, R, WEKA, or equivalent platforms.
• Experience with pattern recognition, automated classification, and data categorization techniques.
• Experience with entity resolution methods, including record linkage, named-entity matching, deduplication, and disambiguation.
• Familiarity with supervised and unsupervised machine learning techniques and methods.
• Experience performing data mining, analysis, and training set construction.
• Strong analytical thinking, problem-solving skills, and attention to detail.
• Ability to communicate findings effectively to both technical and non-technical audiences.

Education:

• Bachelor’s Degree in Mathematics, Statistics, Computer Science, Engineering, or another related technical field is required.
• Equivalent practical experience may be considered based on client standards.
• Advanced degree in a relevant analytical or technical discipline is preferred.

Certificates, Licenses and Registrations:

• Relevant certifications in analytics, machine learning, cloud platforms, or data science are a plus.
• Additional technical certifications may be considered based on program needs.

Communication Skills:

• Excellent verbal and written communication skills, including the ability to explain complex analytical findings clearly and effectively.
• Strong collaboration skills and the ability to work across technical and business stakeholders.

Clearance Requirements:

• Ability to obtain and maintain a Public Trust position and favorable suitability determination based on a CBP background investigation is required., Agile Programming Methodologies, Analysis Skills, Analytical Development, Background Investigation, Cloud Computing, Communication Skills, Computer Programming, Computer Science, Customer Support/Service, Data Analysis, Data Mining, Data Modeling, Data Science, Decision Support, Detail Oriented, Environmental Regulations, IBM SPSS Statistical Package, Java, Machine Learning, Mathematics, Pattern Matching, Position of Public Trust, Predictive Modeling, Presentation/Verbal Skills, Problem Solving Skills, Programming Languages, Python Programming/Scripting Language, R Programming Language, SQL (Structured Query Language), Scala Programming Language, Set Construction, Statistical Analysis System (SAS), Statistics, Statistics Software, Team Player, Training Data Sets, Writing Skills