Senior Data Scientist

InfoCepts • Contract • McLean, VA, US • 3m ago

Purpose:

As a Data Scientist, you will play a key role in delivering impactful, data-driven solutions for our strategic enterprise clients. This role also offers the opportunity to shape and grow Infocepts’ Data Science & AI practice, contributing to high-impact AI/ML initiatives, crafting data-driven narratives for stakeholders, and applying advanced techniques to solve complex business problems from strategy to execution.

Key Result Areas and Activities:

Design, build, and deploy AI/ML solutions using modern cloud and data platforms.
Lead data science projects across industries, ensuring alignment with business goals.
Apply supervised, unsupervised, deep learning, and Generative AI (e.g., LLMs, agentic workflows) techniques to address client use cases.
Collaborate with data engineering teams to optimize model pipelines using Delta Lake and Spark.
Communicate findings effectively through data visualizations and stakeholder presentations.
Drive adoption of MLOps practices for scalable and reliable model deployment.
Contribute to the evolution of Infocepts' Data Science & AI offerings through innovation and knowledge sharing.

Roles & Responsibilities

Essential Skills

5+ years of experience in applied AI and machine/deep learning.
Hands-on experience with Databricks, MLflow, PySpark, and Spark MLlib.
Proficiency in Python and SQL for model development and data manipulation.
Strong understanding of supervised and unsupervised learning, deep learning, and Generative AI.
Familiarity with cloud platforms: AWS, Azure, and GCP.
Solid foundation in advanced statistical methods and probabilistic analysis.
Ability to lead end-to-end AI/ML projects, including design, development, and stakeholder management.
Experience with visualization tools like Tableau, Power BI, or similar.
Familiarity with ML workflow orchestration and MLOps practices.

Desirable Skills

Experience with LLMs (Large Language Models) and agentic AI workflows.
Familiarity with modern data platforms like Snowflake.
Exposure to real-time data processing in cloud-native environments.
Contributions to open-source AI projects or publications in data science communities.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
Certifications in cloud platforms (AWS, Azure, GCP) or Databricks are a plus.

Qualities:

Able to consult, write, and present persuasively
Able to work in a self-organized and cross-functional team
Able to iterate based on new information, peer reviews, and feedback
Able to work seamlessly with clients across multiple geographies
Research focused mindset
Excellent analytical, presentation, reporting, documentation and interactive skills

"Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."