How Will Your Role Impact First Command?

The Principal Data Scientist will possess a deep understanding of data science principles, advanced analytical methods, and have a proven track record of leveraging data to drive business insights and strategies. This role requires a strategic thinker who can lead complex projects, mentor junior team members, and collaborate with cross-functional teams to achieve organizational goals.

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What will you do in this role?

· Lead the data science practice, providing guidance, mentorship, and support to ensure high performance and professional growth.

· Develop and implement data science strategies that align with business objectives and drive measurable results.

· Collaborate with senior management to identify opportunities for leveraging data to drive business solutions.

· Stay current with industry trends, emerging technologies, and best practices in data science and machine learning.

· Design, develop, and deploy advanced data analytics, statistical models, and machine learning algorithms to solve complex business problems.

· Analyze large and diverse datasets to extract actionable insights, identify trends, and support decision-making processes.

· Ensure the accuracy, reliability, and integrity of data used for analysis and modeling.

· Develop and maintain robust data pipelines, workflows, and processes to support analytics and machine learning initiatives.

· Work closely with cross-functional teams to integrate data-driven insights into business strategies.

· Present findings and recommendations to stakeholders at all levels, translating complex data concepts into clear and actionable insights.

· Foster a collaborative and inclusive team environment that encourages knowledge sharing and continuous learning.

Supervisory Responsibility

None initially – future supervisory for data scientist team may be required

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What skills & qualifications do you need?

Education

· Master’s degree in data science, Statistics, Computer Science, Mathematics, or a related field required. PhD preferred.

Work Experience

· Minimum of 8 years of experience in data science, or a related field, with a proven track record of leading successful projects.

· 6+ years of experience with general-purpose programming language (e.g. Python, R, SQL)

· 6+ years of experience with big data technologies (e.g. Hadoop, Spark)

· 6+ years of experience with statistical analysis, machine learning, predictive modeling, and data mining techniques

· 6+ years of experience with natural language processing (NLP) and deep learning techniques.

Required Knowledge, Skills, and Abilities

· Expertise in applying a broad variety of statistical concepts to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand.

· Experience driving projects or programs that have had a proven impact on business strategy and performance through analytical skills.

· Experience advising, presenting to, and serving as a thought partner to leadership at all levels of an organization.

· Proficiency in programming languages and experience with big data technologies.

· Strong expertise in data visualization tools (e.g., Tableau, Power BI) and experience with cloud platforms (e.g., AWS, Azure).

· Experience with developing and deploying LLMs (Large Language Models)

· Experience with generative AI

· Experience developing and deploying AI governance frameworks

· Publications or contributions to the data science community (e.g., conferences, journals).

· Experience in the financial services industry

· Exceptional analytical and problem-solving skills, with the ability to think strategically and act tactically.

· Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.

· Ability to work effectively in a fast-paced, dynamic environment, and adapt to changing priorities.

· Strong leadership and mentorship abilities, with a commitment to fostering a positive team culture.

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Required Skills

Required Experience

QUALIFICATIONS:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education/Experience:

High school diploma or general education degree (GED); Two years in a clinical environment with data processing/specimen handling experience. A.S degree preferred or an equivalent demonstration of education and experience. Graduate of heath/ medical assistant or similar training program from an accredited institution where general laboratory technique is taught. Must meet CLIA 88 personnel requirements for moderate complexity testing

Language Ability:

Ability to read and comprehend simple instructions in English. Ability to write simple correspondence in English. Ability to effectively present information to one-on-one and small group situations to customers, clients, and other employees of the organization.

Math Ability:

Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, and percent and to draw and interpret bar graphs.

Reasoning Ability:

Ability to apply common sense understanding to carry out detailed but uninvolved written or oral instructions. Ability to deal with problems involving a few concrete variables in standardized situations. Must have the ability to perform all duties with accuracy and attention to detail

Computer Skills:

Ability to use Laboratory Information System in addition to various other software programs.

Certificates and Licenses:

No certifications needed