**Position is Hybrid and requires onsite 2x a week
Using data science and machine learning analytics, the contractor will develop models and insights to support risk-based operational decisions for the organization. Will work collaboratively with multiple departments to develop data pipelines for ML modeling and process optimization. Will be tasked with creating descriptive and predictive models in conjunction with cybersecurity frameworks to drive risk-informed decision making across the organization. Will operate under moderate supervision, but with wide latitude for independent decision-making on project features, tuning, and presentation. This will be an intermediate-level position within the ML engineering field but will also require business soft skills and SQL/Database skillsets. 

Responsibilities:
• Support the delivery of strategic advanced analytics solutions across the organization with solutions drawing on descriptive and predictive modeling, with a focus on ML engineering.
• Leverage a broad set of modern technologies – including Python, R, Scala, and SQL – to analyze and gain insights within large data sets.
• Evaluate model design and performance and perform feature analysis and hyper tuning. Analyze model input data, assumptions, and overall methodology leveraging supervised/unsupervised machine learning algorithms.
• Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling risk-informed decision making.
• Collaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic based solutions from design to deployment.
• Recognize potential issues and risks during project implementation and suggest mitigation strategies.
• Perform other duties as assigned

Desired Qualifications and Education Requirements:
• Master’s degree in Statistics, Mathematics, Computer Science, Engineering or other related fields
• Familiarity with Cloud computing environments such as Microsoft Azure.
• Familiarity and/or willing to learn deep learning capabilities leveraging Tensorflow/Torch.
• Familiar with project management concepts and frameworks, and tools such as ADO.
• Communication Strategy and Management, Delivery Excellence and Requirements management


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, or protected veteran status and will not be discriminated against based on disability.  EEO IS THE LAW CC Pace invites any applicant and/or employee to review the Company’s written Affirmative Action Plan.  This plan is available for inspection upon request. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us.