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Sr. Data Scientist

US AI

Rockville · On-site Full-time Senior $150k – $200k/yr Yesterday

About the role

About the Company

US AI stands as a forward-thinking digital transformation enterprise, dedicated to enabling individuals to achieve remarkable feats through cutting-edge technology. As a leader in Artificial Intelligence, Cybersecurity and Self‑Healing Infrastructure, we are actively seeking top‑tier talent to spearhead the commercialization of groundbreaking products and propel our business to new heights. If you’re passionate about pushing the boundaries of what’s possible in the digital realm, then this is the place for you. Come work with us, and let’s redefine the future together.

About the Role

As a Sr. Data Scientist, you will play a pivotal role in analyzing large datasets, uncovering insights, and driving data‑driven decision‑making within our organization. This position offers an exciting opportunity to work on a wide range of projects. You will have the opportunity to unleash your data wizardry and embark on a thrilling data expedition with us. We’re on the hunt for a passionate explorer of insights, an alchemist of algorithms, and a creator of predictive wonders. In this role, you’ll be at the forefront of innovation, transforming raw data into strategic gems that guide our company’s success.

Responsibilities

  • Analyze raw data: assessing quality, cleansing, structuring for downstream processing
  • Design accurate and scalable prediction algorithms
  • Collaborate with engineering team to bring analytical prototypes to production
  • Generate actionable insights for business improvements, manipulating data and drawing insights from large data sets
  • Create and use advanced machine learning algorithms and statistics, such as regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Create data architectures
  • Visualize and present data to stakeholders

Requirements

  • Bachelor’s degree or equivalent experience in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, Engineering, or related discipline)
  • Minimum of one (1) year of hands‑on experience in data analysis, machine learning, or statistical modeling
  • Demonstrated expertise gained through relevant internships, coursework, and personal projects
  • Fundamental knowledge of cloud platforms (AWS, Google Cloud, or Azure) with an emphasis on scalable data analysis
  • Minimum 7 years of experience

Required Skills / Certifications

  • Competency in SQL for data extraction and manipulation, and experience working with databases
  • Strong data analysis skills, including data cleaning, exploration, and visualization
  • Foundation in machine learning with experience building and deploying models
  • Ability to approach complex data problems, devise solutions, and implement them within project deadlines and objectives
  • Drive to learn and master new technologies and techniques
  • Deep understanding of predictive modeling, machine‑learning, clustering, classification techniques, and algorithms
  • Fluency in programming languages (Python, C, C++, Java, SQL)
  • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
  • Excellent written and verbal communication skills for coordinating across teams
  • Awareness of ethical considerations in data science, including privacy, bias, and fairness in algorithms

Preferred Skills / Certifications

  • Master’s degree in Data Science or closely related field
  • Recognized certifications in the field of Data Science

Security Clearance

  • Must be able to obtain a security clearance (Secret or higher)
  • U.S. Citizenship required

Compensation

  • $150,000‑$200,000 per year based on skills and experience

Benefits

  • 401(k) matching
  • Competitive salary
  • Dental insurance
  • Health insurance
  • Vision insurance
  • Paid time off
  • Comprehensive benefits package, life insurance, 401(k) retirement savings plan with employer matching, and opportunities for professional growth and career development

Qualified candidates must live in the United States, with the ability to commute to the North Bethesda, MD office.

Skills

AWSAzureC++CassandraDockerGoogle CloudHadoopJavaMachine LearningPythonSQLSparkTableau

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