Data Scientist at Pointer Technologies

Job description

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, NumPy, SciPy). • 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 About Us Pointer Technologies is Mission Forward and Employee Owned. We leverage talented engineers and effective technologies to drive success in our nation’s National Security and Intelligence missions. We enable our nation to be capable, modernized, and anticipatory for the fight ahead - seen or unseen. Here are some of our core values: Employee Ownership At Pointer Technologies, all employees are eligible to be granted stock, making them a shareholder in the business. We want our employees to be as invested in our success as we are in theirs, and we believe that generously giving our employees a piece of the pie will encourage this. At Pointer, our employees are not only the foundation of our success - they get to share in our success. Transparency Since every employee at Pointer Technologies is a shareholder, we have an open book policy with our team. We hold quarterly all hands meetings where the business reports its contracts portfolio, growth strategy, and even financial health and projections with all employees. Talent At Pointer Technologies we don't just hire anybody - top tier talent is part of our brand. New candidates will face technical screenings to verify that they uphold our technical standards. Anybody who is offered a position at Pointer can know that they have earned the right to be a part of our team. Meaningful Work At Pointer Technologies we support work that is impactful to our nation’s National Security and Intelligence missions. Every single member of the Pointer Technologies team takes pride in knowing that the work that they do matters, and that it is making a positive and meaningful impact on our success as a nation. 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 • Paid company lunches • Culture building events and parties • The best company swag around *Learn more and find additional details on our benefits page . ______ 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.

Requirements

Must-haves

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.
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, NumPy, SciPy).
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.
TS/SCI clearance with polygraph required
Employee Ownership
Transparency
Meaningful Work

Nice-to-haves

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).

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonsqlawsazure

Platform: jazzhr
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401k

Pto