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TalentHop
TalentHop

Data Scientist II (Remote)

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Data
Data analytics
Analysis
+27

Visa

U.S. visa required

Permanent role
13 days ago
Apply now

This is a Fully Remote Job

About Our Client:

The organization supports the United States Special Operations Command Preservation of the Force and Family (USSOCOM POTFF) program by developing innovative, high-value solutions for the Special Operations Forces (SOF) enterprise. It focuses on applying advanced analytics and research to improve the well-being of SOF service members and their families.

About the Opportunity:

The DATA SCIENTIST II role contributes to the program by performing advanced data analysis and research to enhance short- and long-term outcomes for service members and families. This position is responsible for applying data science techniques to extract insights, support decision-making, and improve program effectiveness within the SOF enterprise.

Responsibilities:

  • Perform data analysis and modeling on large datasets.
  • Apply data mining, natural language processing, and machine learning techniques.
  • Collaborate with product managers, engineers, and designers to develop experiments and products.
  • Identify, access, clean, and prepare data for modeling.
  • Create and refine data features.
  • Conduct A/B testing, statistical analysis, and communicate findings.
  • Explore new designs or technologies that align with mission goals.
  • Conduct advanced analytics, predictive and statistical analysis.
  • Translate data into narratives supporting decision-making.
  • Manage data within government systems.
  • Develop dashboards to automate analysis and identify trends.
  • Assist with survey design and reporting.
  • Advise on data capture methods related to programs and initiatives.
  • Collaborate with program staff and biostatisticians.
  • Provide expertise in program evaluation and research methodologies.
  • Use statistical modeling and visualization to report mission-relevant findings.

Requirements:

  • Master’s degree in quantitative or social science disciplines.
  • Three or more years of relevant research experience.
  • Advanced proficiency with Microsoft Office and statistical software (SPSS, SAS, Python, R Shiny).
  • Demonstrated research proficiency and scientific publications.
  • Excellent communication and interpersonal skills.
  • Ability to work effectively with diverse individuals.
  • U.S. citizenship and active or eligible Secret security clearance.
  • B.S. or B.A. in related technical fields required; advanced degree preferred.
  • 5+ years experience with major machine learning/deep learning frameworks and algorithms.

Pay Range and Compensation Package:

  • The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Benefits & Perks:

  • Medical, dental, vision, and prescription plans with partially funded HSA.
  • Life insurance and discounts on auto, home, renters, and pet insurance.
  • 401(k) retirement savings plan with company match.
  • Paid time off, paid holidays, extended sick leave.
  • Short and long term disability coverage.
  • Employee assistance program supporting physical, emotional, and financial well-being.
  • Employee recognition platform.
  • Tuition reimbursement.
  • Employee discounts and perks.
  • Wellness programs and resources.
  • Career development opportunities including training and conferences.
  • Licensure and certification renewal support.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

About TalentHop

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