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Senior Data Scientist (m/w/d)

US AI

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

About the role

Benefits

  • 401(k) matching
  • Competitive salary
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

Who We Are

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 Job

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.

What You’ll Do

  • 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

Education & Experience

  • Bachelor’s degree or equivalent experience in a quantitative field, such as Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related discipline.
  • A 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 that highlight your skills and a strong dedication to the field of data science.
  • Fundamental knowledge of cloud platforms like AWS, Google Cloud, or Azure, with an emphasis on their use for scalable data analysis.
  • Minimum 7 years of experience.

Required Skills / Certifications

  • Competency in SQL for data extraction and manipulation, along with experience working with databases to retrieve and store data.
  • Strong data analysis skills, including data cleaning, exploration and visualization.
  • A foundation in machine learning with experience in building and deploying machine learning models.
  • The ability to approach complex data problems, devise solutions, and successfully implement them within project deadlines and objectives.
  • A drive to learn and master new technologies and techniques.
  • Deep understanding of predictive modeling, machine‑learning, clustering and 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: You must be able to obtain a security clearance (Secret or higher); US Citizenship required

Compensation

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

Additional Benefits

  • Comprehensive benefits package, paid time off, life insurance, 401(k) retirement savings plan with employer matching, and opportunities for professional growth and career development.
  • You have the legal right to work in the United States without current or future employer sponsorship.
  • Qualified candidates must live in the United States, with the ability to commute to the North Bethesda, MD office.

Equal Employment Opportunity

USA I is committed to a policy of equal employment opportunity for all persons without regard to race, color, religion, sex, gender identification, age, marital status, disability, sexual orientation, national origin, disabled veteran or Vietnam‑era veteran, or any other classification protected by applicable anti‑discrimination laws. We prohibit and do not tolerate any form of discrimination or harassment.

Requirements

  • Bachelors degree or equivalent experience in a quantitative field, such as Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related discipline
  • A 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 that highlight your skills and a strong dedication to the field of data science
  • Fundamental knowledge of cloud platforms like AWS, Google Cloud, or Azure, with an emphasis on their use for scalable data analysis
  • Minimum 7 years of experience
  • Required Skills / Certifications
  • Competency in SQL for data extraction and manipulation, along with experience working with databases to retrieve and store data
  • Strong data analysis skills, including data cleaning, exploration and visualization
  • A foundation in machine learning with experience in building and deploying machine learning models
  • The ability to approach complex data problems, devise solutions, and successfully implement them within project deadlines and objectives
  • A drive to learn and master new technologies and techniques
  • Deep understanding of predictive modeling, machine-learning, clustering and 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
  • Qualified candidates must live in the United States, with the ability to commute to the North Bethesda, MD office

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 stakeholdersEducation & Experience

Benefits

paid_time_offdental_coveragehealth_insurance

Skills

AWSAzureCassandraC++Google CloudHadoopJavamachine learningPythonregressionSQLSparkstatisticsTableau

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