Data Scientist (Remote)
The ideal candidate will have a strong foundation in machine learning principles, experience with relevant tools and frameworks, and a passion for continuous learning and innovation.
The ability to work standard Eastern Time is expected.
What you’ll be doing:
Conceptualize and develop custom AI-driven data pipelines which address client problems, maximize efficiency, and maintain high standards of quality.
Design and develop statistical analyses, visualize the output of statistical models, present and interpret the output of predictive models, and perform quality assurance tasks on model code and output.
Develop solutions to a variety of client problems using both generative AI non-generative AI models.
Identify important and interesting questions about large datasets, then translate those questions into concrete analytical tasks.
Build quantitative models with data and communicate the results of those models to stakeholders.
Help conceptualize, as well as perform, data analyses to summarize trends.
Develop and execute database queries that in turn support developing/formatting modeling inputs
Basic Qualifications:
Bachelor’s degree in a technical field: Computer Science, Engineering, or related discipline
3 or more years of experience with modeling and quantitative analysis using standard statistical software.
Highly proficient in Python.
Experience with GenAI and LLM tools and frameworks.
1 or more years’ experience working with any major public cloud service (experience preferred with Bedrock, Foundry, Vertex AI or similar).
1 or more years’ experience with NLP, machine learning, deep learning principles and practices.
Strong communication and teamwork abilities.
Ability to obtain and maintain a public trust clearance
U.S. citizenship or lawful permanent residency (Green Card holder) is required due to federal contract requirements
Preferred Qualifications:
Experience with incorporating Generative AI into data transformation pipelines.
Demonstrated prompt engineering expertise to design, test, and iterate LLM prompts that improved answer quality and reduced hallucinations.
Understanding of Deep Learning methodology.
Experience with data warehouse design and development as well as data modeling for both relational and dimensional data models.
Demonstrated experience showing strong critical thinking and problem-solving skills paired with a desire to take initiative.
Excellent listening, written, and oral communication skills.
Ability to exercise independent judgement while effectively prioritizing and executing tasks while under pressure.
Team player with the ability to work in a fast-paced environment.
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$89,649.00 - $152,404.00Nationwide Remote Office (US99)
