Data Scientist

Primary Responsibilities:

• Senior-level practitioner responsible for leading end-to-end data science projects that span multiple technical areas. In this role, you will apply advanced statistical principles, machine learning algorithms, and expert ingenuity to solve complex problems and build innovative data systems.
• Manage large processes with moderate organizational impact, collaborate heavily across multi-disciplinary teams, and influence project leaders regarding solution designs and strategic technical approaches.
• Strong Python - ability to work without Pandas
• Experience with NLP, entity extraction, and classification
• Ability to build prototypes and support model validation
• Experience working with messy real-world datasets (like PDFs)
• Lead and manage large-scale data science projects or processes from problem formulation and exploratory data analysis (EDA) to productionized models.
• Regularly employ ingenuity and creativity to develop highly complex algorithms, predictive models, and custom data solutions to achieve functional business objectives.
• Oversee the data lifecycle by evaluating alternatives (including cost, risk, and supportability), performing trade studies, defining data interfaces, and ensuring robust system testing and quality assurance.
• Partner directly with internal teams, clients, and external parties (such as subcontractors or vendors) to align analytical efforts with overarching project goals.
• Work closely to influence project and team leaders on solution designs, architectural processes, and modern data-driven approaches

Basic Qualifications:

• Bachelor’s Degree (BS) in a technical domain with 6-10 years of prior relevant experience, OR Master’s Degree with 6 – 10 years of prior relevant experience; willing to consider equivalent work experience.
• Technical Expertise: Expert knowledge of and proven ability to apply advanced technical principles, theories, and concepts within data science and machine learning.
• Complex Problem Solving: Demonstrated track record of developing highly technical, creative solutions to solve complex issues impacting multiple organizational disciplines

Preferred Qualifications:

• Proven experience in full-lifecycle MLOps (moving models from local notebooks to live production environments).
• Proficiency in handling and mining large-scale structured, semi-structured, and unstructured datasets.
• Strong data storytelling capabilities to translate complex statistical findings into actionable business strategies for non-technical leadership

Preferred Qualifications:

• Experience working with enterprise/government systems preferred
• Systems Development inside of DoW experience preferred.
• Current or active Clearance