Data Scientist- Secret
At a glance
Mid-level Data Science role at Parsons. Remote, United States · full-time · $112,200–$196,400 base.
dataroles summary, based on the employer's posting.
What you'll do
- Work with stakeholders to clarify needs, then gather and interpret data for strategic decisions
- Prepare large structured and unstructured datasets by retrieving, cleaning and checking them for reliable use
- Build and assess predictive models, then monitor and adjust them to keep results accurate
- Explain technical findings to varied audiences and teach users to draw their own insights
What you bring
- You have seven years of relevant experience and a related degree, or equivalent experience in that field
- You bring seven years working with a multidisciplinary team on data analytics
- You have built ETL pipelines and automated workflows, with programming skills in Python, R or SQL
- An active Secret-level Department of Defense clearance is required
Who this fits
This remote role supports a US PACOM customer, with Hawaii preferred. It suits someone comfortable working independently with limited guidance and explaining data findings to technical and non-technical audiences.
From the employer
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.
Job Description:
Location: Remote (Hawaii preferred)
Clearance Needed: Secret
Are you ready for a challenge that will keep you on the leading edge of big data analytics? Do you have experience leveraging Python and scripts to work with both structured and unstructured data to develop automated analytic solutions? Imagine yourself working on top-level, critical mission sets alongside other seasoned professionals. Parsons is now hiring a Data Scientist with a passion for innovation and solving mission critical challenges to support our US PACOM customer.
Specific Responsibilities:
- Collaborate closely with stakeholders to understand requirements and meet objectives; perform data collection, analysis, and interpretation to support strategic initiatives.
- Retrieve, clean, and validate large structured and unstructured datasets for accuracy and usability.
- Can explain complex, technically difficult information in an easily-understood manner to technical and non-technical audiences.
- Develop, implement, and evaluate predictive models and algorithms to support decision-making processes; continuously monitor and refine models to ensure accuracy and effectiveness.
- Educate and mentor on how to effectively use and interpret data, ensuring users can independently derive insights and make informed decisions.
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences.
Required Education/Experience:
- 7 years relevant experience with Bachelors in related field; will consider experience in lieu of degree
- 7 years’ experience working in a multi-skilled team environment collaborating on data analytics
- Bachelor's Degree in related technical or scientific field or
- equivalent experience within related field. - Experience implementing ETL (Extract, Transform, Load) pipelines and workflow automation
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn, PyTorch).
- Familiarity with data visualization tools (e.g., matplotlib) and big data technologies (e.g., Pandas, Spark).
- Capable of intuitively solving complex problems, working independently, with minimal guidance.
- Strong organizational and planning skills for tracking requests and project fulfillment
- Strong analytical and problem-solving skills, with a keen attention to detail.
- Active DoD Secret-level security clearance
Preferred Experience:
- Previous experience supporting an INDOPACOM or US Army customer
- Capacity to lead or assist in an AI/ML Engineer role
- Experience supporting USINDOPACOM intelligence and/or operations
- Experience with data visualization tools and techniques
- Proficient in SQL
- Familiarity with Amazon Web Services (AWS)
Security Clearance Requirement:
An active Secret security clearance is required for this position.This position is part of our Federal Solutions team.The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.Salary Range: $112,200.00 - $196,400.00We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!This position will be posted for a minimum of 3 days and will continue to be posted for an average of 30 days until a qualified applicant is selected or the position has been cancelled.Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.