Overview:
We are seeking a highly skilled Senior Data Scientist with specialized expertise in Artificial Intelligence (AI) and Machine Learning (ML) to support the analysis and interpretation of large-scale datasets. This role is vital for leveraging our law enforcement client’s data holdings to develop innovative insights, predictive models, and business solutions. The ideal candidate will have experience working with unstructured data, statistical modeling, and advanced data analytics to drive decision-making and enhance operational effectiveness.

Contributions:

• Develop and support AI/ML models for data analysis, focusing on the accuracy, authenticity, expectancy, timeliness, relevancy, and viability of intelligence data.
• Conduct advanced data integration and statistical analysis to identify patterns, trends, and intelligence gaps.
• Innovate by deriving investigative, statistical, and predictive value from our clients extensive data sources.
• Prepare, clean, and manage big data sets, design data models, and develop robust databases to support AI-driven business solutions.
• Tackle complex technical challenges using state-of-the-art techniques and industry knowledge.
• Deploy, validate, and manage various types of data models including supervised, unsupervised, and deep learning models.
• Perform advanced mathematical and statistical modeling to organize, optimize, and predict trends from both structured and unstructured data.
• Validate and improve machine learning models with rigorous statistical techniques to ensure high accuracy and precision.
• Design and implement algorithms such as neural networks, decision trees, and surrogate models to drive AI initiatives.
• Utilize modern tools and methodologies such as Data Lakes, serverless computing (Athena/Lambda), and ETL processes to manage data storage and computational needs.
• Employ data visualization tools like Power BI, Tableau, or Qlik to translate data insights into actionable intelligence.

Qualifications:

REQUIRED QUALIFICATIONS:

• 4+ years of hands-on experience in AI/ML model development, including supervised and unsupervised learning, with a strong focus on Natural Language Processing (NLP) for unstructured data.
• 5+ years of proficiency in at least one analytical/statistical programming language (e.g., Python, R, Scala, Closure).
• 2+ years of experience manipulating and processing unstructured data from various platforms.
• 2+ years of experience using data visualization tools such as Power BI, Tableau, Elastic X-Pack (including Graph), or Qlik.
• Bachelor’s Degree in Data Science, Computer Science, Mathematics, or a related field; a combination of education and experience may be considered. An advanced degree is desirable.
• Must be local to El, Paso TX or willing to drive on site 5 days a week.
• Applicants selected will be subject to a Government background investigation and must meet eligibility and suitability requirements.

PREFERRED SKILLS:

• Experience in client engagement and relationship building.
• Experience in team leadership and staff / team management.
• Expertise in data architecture and big data management.
• Strong problem-solving abilities with a creative approach to model optimization and algorithm development.
• Ability to work collaboratively on cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
  In accordance with the contractual terms and conditions set by the customer, Steampunk is required to pre-screen candidates based on customer defined criteria to determine eligibility.
  About steampunk:
  Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $190,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here.

Please refer the Job description for details