Appcast

Data Scientist

Appcast$112K — $196K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7 years relevant experience with a bachelor's degree in a related field, or equivalent experience
  • Experience in a multi-skilled team environment focused on data analytics
  • Proficiency in Python, R, or SQL programming languages
  • Experience with ETL pipeline implementation and workflow automation
  • Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn)
  • Proficient in data visualization tools (e.g., matplotlib) and big data technologies (e.g., Pandas, Spark)
  • Active DoD Secret-level security clearance

Responsibilities

  • Collaborate with stakeholders to gather and understand requirements for data analysis
  • Retrieve, clean, and validate large datasets ensuring their accuracy
  • Communicate complex technical information clearly to diverse audiences
  • Develop and evaluate predictive models and algorithms for decision-making
  • Educate and mentor users on data interpretation for independent insight generation
  • Continuously monitor and improve models to guarantee effectiveness
  • Plan and organize project fulfillment tracking requests effectively

Benefits

  • Medical, dental, and vision insurance
  • Paid time off and flexible work schedules
  • 401(k) retirement plan
  • Life insurance
  • Holidays to accommodate lifestyle needs
Full Job Description
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 - $196,400.00

We 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.

About Appcast

Appcast is a global leader in programmatic recruitment advertising technology. More than just a job board, Appcast?s programmatic recruitment advertising exchange connects employers and job seekers through real-time bidding and automatic job ad optimization. Appcast?s proprietary technology and advanced data analysis tools enable employers to source and hire top talent quickly, efficiently, and cost-effectively. Appcast is headquartered in Lebanon, New Hampshire, with offices in Boston, New York City, San Francisco, London, Manchester, and Budapest.
Learn more about Appcast
Size
200 employees
Industry
Founded
2014

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