BRMi is seeking a Data Scientist to support the DEA's Diversion Division. The ideal candidate is a highly skilled professional who uses their expertise in data analysis, statistical modeling, and machine learning to extract insights and solve complex problems.

**Can be 100% remote in TX, NJ, NC, WV, AL, VA, MD, MO, DC, GA, or FL**

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With minimal supervision, the Data Scientist will work with large and diverse datasets to uncover patterns, trends, and correlations that can drive informed decision-making and provide valuable insights to the Client.

• Data Analysis and Modeling:
  
  • Collect, clean, and preprocess large datasets from various sources.
  • Apply statistical techniques and data mining algorithms to analyze data and identify patterns, trends, and relationships.
  • Develop and implement predictive models, machine learning algorithms, and statistical models to solve business problems and generate actionable insights.
• Machine Learning and AI:
  
  • Design and develop machine learning models and algorithms to solve specific business challenges.
  • Train, validate, and optimize models using appropriate techniques such as cross-validation and hyperparameter tuning.
  • Deploy models into production environments and monitor their performance.
• Data Visualization and Reporting:
  
  • Communicate complex data analysis results and insights to non-technical stakeholders through clear and visually appealing data visualizations, reports, and presentations.
  • Collaborate with cross-functional teams to understand their data needs and provide data-driven recommendations.
• Data Exploration and Feature Engineering:
  
  • Conduct exploratory data analysis to understand the characteristics and quality of the data.
  • Identify and engineer relevant features from raw data to improve model performance and accuracy.
• Collaboration and Communication:
  
  • Collaborate with data engineers, software developers, and domain experts to gather requirements, define data needs, and implement data-driven solutions.
  • Communicate findings, methodologies, and insights to both technical and non-technical audiences effectively.
• Perform other duties as assigned.

• Must be a U.S. Citizen

• Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related disciplines. A Ph.D. is a plus. (4 years experience is the equivalent to a bachelor’s degree, 8 years is equivalent to a Master’s)

• Experiecne acting as a lead Data Scientist
• 3-5 years of experience
• Some experience with:
  
  • SPSS (Statistical Package for the Social Sciences)
  • Sagemaker - not necessarily specifically Sagemaker, but that type of work/experience

• Strong knowledge of statistical analysis, machine learning algorithms, and data modeling techniques.

• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).

• Experience with data visualization tools (e.g., Tableau, matplotlib, ggplot) to effectively communicate insights.

• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is desirable.

• Strong problem-solving skills, critical thinking, and the ability to work on complex projects independently.

• Excellent communication and presentation skills to convey complex concepts to both technical and non-technical stakeholders.

• Ability to obtain and maintain a public trust with the DOJ DEA. 

** BRMi will not sponsor applicants for work visas for this position.**

**This is a W2 opportunity only**

EOE/Minorities/Females/Vet/Disabled 

We are an equal opportunity employer that values diversity and commitment at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with all employees are made in a nondiscriminatory manner, without regard to race, religion, color, national origin, sex, age, marital status, physical or mental disability, medical condition, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes.