Global in service but local in approach, Nisga'a Tek is committed to high-quality service to those who defend us. Nisga'a Tek ensures mission assurance and execution for customers and warfighters. Providing intelligence, IT, cyber security, training, logistics, administrative, acquisition, and background investigation services.

Summary:

The Advanced Analytics Lead shall provide expert leadership and guidance in performance for DHS DSSS contract.

Essential Job Functions:

Responsible for leading the overall development of data models and algorithms to support machine learning and other data science research efforts.
• Collaborate with cross-functional teams to identify opportunities for leveraging data to solve complex business problems and improve operational efficiency.
• Design and implement advanced analytics models and algorithms, utilizing techniques such as machine learning, predictive modeling, and optimization.
• Work closely with data engineers and data scientists to acquire, clean, and prepare data for analysis.
• Develop and maintain robust data pipelines and infrastructure to support advanced analytics workflows.
• Interpret and communicate analysis results to stakeholders in a clear and concise manner, providing actionable recommendations for decision-making.
• Stay abreast of industry trends and best practices in advanced analytics and data science and incorporate new techniques and methodologies as appropriate.

Necessary Skills and Knowledge:

• Expertise in data manipulation, analysis, and visualization using tools such as Python, R, SQL, or similar technologies.
• Strong proficiency in machine learning techniques and algorithms, with experience applying them to real-world problems.
• Ability to work collaboratively with cross-functional teams and build positive relationships with stakeholders at all levels of the organization.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Ability to adapt to changing priorities and thrive in a fast-paced environment.

Minimum Qualifications:

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related degree.
• At least 5 years' experience leading data modeling, data science, algorithm
• development, and automation efforts.
• Ability to successfully pass a background check.

Preferred Qualifications:

• Post- Graduate Degree in Data Science, Statistics, or Machine Learning preferred.

The salary range for this position is $125,000 to $160,000 per year.

Pay and Benefits
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.