Principal Data Scientist
Apply NowCompany: First Command Financial Services
Location: Fort Worth, TX 76137
Description:
Job Description
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.
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
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.
#LI-NC1
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.
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
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.
#LI-NC1