Principal Data Scientist

Principal Data Scientist –
Jobs via Dice

Location:

Fully Remote

Pay rate: $70–$80/hr

Contract‑to‑hire opportunity. Applicants must be willing and able to work on a W2 basis and convert to FTE following contract duration. Benefits include Medical, Dental, Vision, 401(k) with company match, and life insurance.

• Operate and maintain an innovation lab for ideation, design, and engineering of cloud‑native product modernization and innovation using emerging technologies.
• Develop end‑to‑end plans for AI/ML/NLP innovations that comply with cybersecurity policies.
• Develop and engineer pilots, prototypes, and proof‑of‑concept solutions to validate emerging technology, modernization, and innovation opportunities.
• Implement transparency, traceability, and security handling in line with best practices and compliance standards, including Authorization to Operate certifications.
• Implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems.
• Make low‑risk plans and present business briefings, recommendations, and demonstrations to executives and technical stakeholders clearly based on data architecture best practices.
• Collaborate with cross‑functional teams (data engineering, product, business stakeholders) to translate requirements into data‑driven solutions.
• Conduct exploratory data analysis and generate actionable insights from large and complex datasets.
• Support total experience initiatives including customer experience, user experience, and human‑centered design through focus groups, metrics, wireframes, mockups, and information architecture development.
• Develop reusable code libraries and best practices for modernization and innovation development and deployment.
• Mentor junior data scientists and guide the team in adopting new technologies and techniques.
• Stay current with advancements in data science, machine learning, and AI research.
• Support Agile product teams in emerging technologies and data strategies.
• Analyze data and usage to find patterns and solutions to business challenges.

• MA/MS degree and 8+ years of experience in data science, data analytics, or data modeling.
• Experience with machine learning, natural language processing, security, and AI technologies in cloud native environments (AWS, Azure, GCP).
• Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Minimum 8+ years of relevant experience in data science or analytics.
• Minimum 2+ years of experience in machine learning or AI.
• Ability to obtain and maintain a Public Trust clearance (USPTO regulations).
• Live in the United States continuously for last 2 years.
• Track record of delivering impactful emerging technology value, including AI/ML/NLP innovations and data‑driven solutions in a cloud‑native environment.
• Strong communication and teamwork abilities.
• Programming languages:
  Python, R, SQL.
• Experience with PyTorch, ML‑Ops, model monitoring, and deployment pipelines.
• Experience with frontier models, Databricks, big data & cloud platforms (Hadoop, Hive, AWS, Azure, GCP).
• Visualization tools:
  Tableau, Power BI.
• Version control & collaboration:
  Git, Docker.
• Experience with NLP, computer vision, deep learning techniques.
• Experience with Agile and Rally Agile management tool.

• Experience with ML‑Ops, model monitoring, and deployment pipelines.
• Experience with NLP, computer vision, or deep learning techniques.
• Experience with Agile and the Rally Agile management tool.

MA/MS degree and 8 years or more of experience in data science, data analytics, or data modeling.

Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.