Data Science Manager, Senior

THOR Solutions, LLC; Washington (District of Columbia); In loco; USD 100.000 - 125.000; Tempo pieno

Vantaggi offerti da questo lavoro

Paid Time Off

Paid Holidays

401(k) with employer match

Medical Insurance (3 plans)

TRICARE Supplemental Coverage

Dental Insurance (2 plans)

Vision Insurance (2 plans)

FSAs

Descrizione del lavoro

THOR Solutions, LLC seeks a senior-level Data Science Manager to support the US Coast Guard Ship Design Team in Washington, DC. The role focuses on statistical analysis and data mining to understand Coast Guard platforms, systems, and personnel, with prior federal environment experience preferred.

The candidate will lead data science projects from requirements to deployment, leverage SQL and Python-based toolkits, and collaborate across teams to improve data-driven decision making.

Competenze

• Eight+ years applying statistical analysis and data mining to derive insights.
• Experience leading Data Science projects from requirements to deployment.
• Experience in USCG, Navy, DoD or federal environment preferred.

Mansioni

• Plan and conduct statistical analytics studies and sampling plans.
• Utilize SQL, Python and visualization tools for data analysis and presentation.
• Develop plans for full product development from requirements to deployment and sustainment.
• Provide recommendations for data use, standards, and life-cycle support.
• Perform simulations and sampling techniques (e.g., Monte Carlo, Latin Hypercube).
• Support manning and training analyses for Coast Guard assets and units.

Conoscenze

Statistics

Data mining

SQL

Python

Tableau

MATLAB

Communication

Leadership

Agile

Formazione

Bachelor’s degree in a relevant field

Master’s degree preferred

Strumenti

PyMC3

Matplotlib

Bokeh

SciKit

TensorFlow

MATLAB

PHP

Tableau

Descrizione del lavoro

THOR Solutions is actively seeking a senior-level Data Science Manager to support the United States Coast Guard (USCG)’s Ship Design Team (SDT) in Washington, DC. In this role, the candidate will applying statistical analysis and data mining to apply, learn, and improve understanding of data relating to USCG platforms, systems, and personnel. An ideal candidate will have prior experience collecting, interpreting, modeling, and publishing data in a USCG, Navy, DoD, or other Federal environment.

Typical Responsibilities:

• Plan and conduct statistical data analytics projects and/or studies to evaluate, design, and tabulate statistical sampling plans and analytical procedures and processes.
• Leverage Structured Query Language (SQL), Python data science and visualization packages (PyMC3, matplotlib, Bokeh, Sci-Kit, TensorFlow), MatLAB, PHP, Tableau, and similar data integration services and data visualization tools.
• Develop plans and oversight for full product development for Data Science projects from requirements development to deployment and sustainment.
• Provide recommendations for improvement, and data use, including development of standards, understanding data from trade, feasibility and in-life assessments.
• Perform and present results of simulations and sampling techniques such as Monte Carlo, Latin Hypercube, Markov Chain, etc.
• Provide professional and scientific expertise in performance of work requiring knowledge and application of mathematics, statistical analysis, modeling/simulation, and/or other scientific principles, methods, and techniques related to leveraging data to support the total lifecycle and systems engineering of Coast Guard boats and cutters including requirements development, design, construction, operations, sustainment, and disposal and support the development of manning and training requirements analysis for operational assets as well as supporting units and personnel.

Location:

Primarily onsite (at least 3 days/week) at USCG Headquarters in Washington, DC.

Travel:

Up to 10% travel to CONUS locations is anticipated.

Typical Physical Activity:

Primarily desk/computer work in an office environment. May involve: repetitive motion.

Typical Pay Range:

The anticipated pay range for this position in the identified location(s) is $100,000 - 125,000. Actual compensation offered will be based upon individual factors including education, qualifications, and experience.

Eligibility for a SECRET Security Clearance is Required

This position requires eligibility for a Secret security clearance, to be obtained after hire. Only U.S. citizens are eligible for a security clearance; therefore, only current U.S. citizens will be considered for this position.

Required Knowledge, Skills, and Abilities:

• Bachelor’s degree in a relevant field such as operations research, data science, applied mathematics or statistics, business management, or human resources management.
• At least eight (8) years of recent, relevant professional experience applying statistical analysis and data mining to apply, learn, and improve understanding of data.
  • Developing plans and oversight for full product development for Data Science projects from requirements development to deployment and sustainment.
  • Using data workflow management tools and approaches such as Kanban boards, Agile development, etc.
• Knowledge of and skill in the use of Structured Query Language (SQL), Python data science and visualization packages (PyMC3, matplotlib, Bokeh, Sci-Kit, TensorFlow), MatLAB, PHP, Tableau, and similar data integration services and data visualization tools.
• Ability to work independently and lead analyses of data and information for use.
• Proficiency with common productivity software including the Microsoft Office suite.
• Strong communication skills.

Additional Preferred Knowledge, Skills, and Abilities:

• A Master’s level degree in a relevant field is preferred, and may be used to fulfill part of the years of experience requirement.
• Experience obtained in a USCG, Navy, or other marine or defense environment is highly preferred.

Benefit Offerings:

Along with competitive pay, THOR offers a comprehensive benefits package including:

• Paid Time Off (accrued)
• Paid Holidays
• 401(k) with employer match and Traditional/Roth options
• Medical Insurance (3 plan options)
• TRICARE Supplemental Coverage for TRICARE-eligible individuals
• Dental Insurance (2 plan options)
• Vision Insurance Plan (2 plan options)
• Healthcare and Dependent Care Flexible Spending Accounts (FSAs)
• Commuter/Transit Benefits
• Basic Life/AD&D Insurance for employee
• Additional Life Insurance options for employee + family
• Short-Term and Long-Term Disability Insurance
• Pet Benefits
• Legal Plan
• ID Theft Protection Plan
• Employee Assistant Plan and Work-Life Program
• Voluntary Leave Transfer Program
• Tuition Reimbursement Program
• Employee Referral Program

Please be aware that many of our positions require an existing security clearance or the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. Applicants to cleared positions who lack clearance eligibility will not be considered.

Founded in 2009, THOR Solutions, LLC (THOR) is a rapidly growing Center for Veteran's Excellence (CVE) verified Service-Disabled Veteran-Owned Small Business (SDVOSB) providing mission critical support across the Department of Defense, Department of Homeland Security, federal civilian agencies and commercial maritime industry, worldwide. THOR provides innovative and tailored expertise in multidisciplinary engineering, project and program management, business and financial management, technical support, integrated logistics support, training support, fleet support, corporate operations support, assessments and studies. THOR is privileged to deliver service solutions to the nation’s most complex military, public sector and industry challenges.

THOR is proud to be an Equal Opportunity Employer, including veterans and individuals with disabilities. THOR considers all qualified applicants for employment without regard to legally protected characteristics. This policy applies to all terms and conditions of employment.

If you are an individual with a disability and would like to request a reasonable accommodation as part the employment selection process, please contact us at [e-mail] or [phone].