×
Register Here to Apply for Jobs or Post Jobs. X

Data Scientist

Job in Frederick, Frederick County, Maryland, 21701, USA
Listing for: Pointer Technologies
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Pointer Technologies is seeking a skilled and innovative Data Scientist to join our dynamic team. In this role, you will work at the intersection of data analysis, machine learning, and mission strategy to uncover insights, build predictive models, and help solve mission‑critical problems.

The ideal candidate is both technically competent and familiar with the national security and defense mission, capable of translating complex data into actionable recommendations that support strategic decision‑making. This person is diligent, works well with others, inspired to learn, driven by mission and practices effective communication.

Responsibilities
  • Analyze large, complex datasets to uncover patterns, trends, and insights.
  • Develop predictive and prescriptive models to address key mission challenges.
  • Build, test, and deploy machine learning models and algorithms.
  • Collaborate with cross‑functional teams to understand mission objectives and translate them into data‑driven solutions.
  • Communicate findings and recommendations effectively to both technical and non‑technical stakeholders.
  • Design and implement data visualization dashboards to support real‑time decision‑making.
  • Research and stay updated on the latest advancements in data science and machine learning.
Requirements
  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
  • Proficiency in programming languages such as Python or R.
  • Experience with data manipulation and analysis libraries (e.g., Pandas, Num Py, Sci Py).
  • Solid understanding of statistical methods, machine learning algorithms, and predictive modeling techniques.
  • Familiarity with data visualization tools like Tableau, Power BI, or Plotly.
  • Hands‑on experience with SQL and working with large‑scale databases.
Nice To Have
  • Knowledge of cloud‑based data platforms (e.g., AWS, Azure).
  • Experience with big data technologies like Spark, Hadoop, or Databricks.
  • Familiarity with MLOps workflows and tools.
  • Strong mission familiarity and ability to frame data‑driven insights in the context of organizational goals.
  • Background in specific domains (e.g., marketing analytics, healthcare, finance).
Clearance

TS/SCI clearance with polygraph required

Benefits
  • Health Insurance through Blue Cross Blue Shield
  • Dental, vision, long‑term & short‑term disability and life insurance
  • 10% 401K matching with immediate vesting
  • 248 hours of PTO with the ability to flex higher or lower
  • Education and training budget of $5,250
  • Paid military leave
  • Paid maternity leave
  • Internal referral profit sharing
  • Employee Equity Program
  • Quarterly all hands to promote transparency

Pointer Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other state or federal legally protected status.

#J-18808-Ljbffr
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary