Data Scientist

All Native Group, a division of Ho Chunk Incorporated, is seeking a Data Scientist to support the US Drug Enforcement Agency  enterprise data management and analytics program. Working within the Analytic team, the Data Scientist develops and refines machine learning and AI models, performs entity extraction and enrichment across large and complex datasets, and applies natural language processing techniques to unstructured data to advance the customer's mission objectives. 

• Develop, train, and evaluate custom machine learning and AI models, including both supervised and unsupervised approaches.
• Apply natural language processing (NLP) techniques to extract, enrich, and analyze unstructured data.
• Improve and expand existing entity extraction processes, incorporating new entities and models to improve analytic outcomes.
• Evaluate enterprise data holdings and develop models and techniques that enrich data toward mission advantage.
• Manipulate, cleanse, and prepare structured and unstructured data for model development and analysis.
• Build data visualizations that communicate analytic findings to technical and non-technical stakeholders.
• Collaborate within an Agile delivery team, participating in sprint planning, reviews, and continuous delivery.

• 5+ years of in-depth experience with at least one analytical or statistical language (for example, Python, R, or SQL).
• 2+ years of custom Machine Learning and AI model training, to include supervised and unsupervised methods, and Natural Language Processing (NLP) expertise focused on unstructured data.
• 3+ years of experience with SQL database and coding.
• 2+ years of experience with data visualization tools.
• 2+ years of experience with the ability to manipulate unstructured data.
• Experience working in a fast-paced Agile development environment. 
• Experience supporting federal law enforcement or mission-focused data programs is a plus

None for this position

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

• Must be able to remain in a stationary position 75% of the time.
• Occasionally moves about inside the office to access file cabinets, office machinery, etc.
• Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.
• Expresses or exchanges ideas by means of the spoken word.  Those activities in which they must convey detailed or important spoken instructions to other workers accurately, loudly or quickly.
• Frequently moves standard office equipment up to 25 pounds.
• Must be able to work indoor conditions 90% of the time.

While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.

This is a full-time  position with flexible hours based on mission requirements. 

No travel is expected for this position. 

Bachelor’s degree in data science or a related quantitative field. Experience can be considered in lieu of education

All Native Group is a Drug Free Workplace. It is our policy that all new hires must successfully complete a pre-employment drug screen as a condition of employment. In addition, all employees are subject to random drug screens throughout the term of their employment with All Native Group.

Active secret clearance is required

All Native Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. However, preference may be extended to persons of Indian descent in accordance with applicable laws.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.