Sr. Data Scientist
US AI · North Bethesda, MD · Today
EngineeringFull-time
Benefits: 401(k) matchingCompetitive salaryDental insuranceHealth insurancePaid time offVision insuranceTraining & development401(k) 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 processingDesign accurate and scalable prediction algorithmsCollaborate with engineering team to bring analytical prototypes to productionGenerate actionable insights for business improvements, manipulating data and drawing insights from large data setsCreate and use advanced machine learning algorithms and statistics, such as regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.Create data architecturesVisualize 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 techniquesDeep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithmsFluency 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 teamsAwareness 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 fieldRecognized 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 $130,000-$210,000 per year based on skills, experience Benefits We offer a 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. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. USAI 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. Compensation: $130,000.00 - $210,000.00 per year Where We Are At the intersection of innovation and entertainment, our office is located in the heart of Pike and Rose: a community where people want to change the world, play, and live all in the same area. Being part of such a diverse community that is alive and limitless has awarded us with some great honors such as being featured in Washington Business Journals Coolest Office Spaces 2017 and receiving the Montgomery County Chamber of Commerce Spirit of Free Enterprise Award. There is never a shortage of possibilities here whether that’s meeting new people, finding a new favorite restaurant or catching a special event after work. Find Your Fit! We have some of the most talented data scientists, developers, designers, and thought leaders shaping the future and bringing extreme innovation to businesses at the speed of thought. We’re looking for people to join our team who are as passionate as we are about building products and services that are saving lives, providing solutions, and making groundbreaking transformations in the future of business.