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Largeton
Largeton

Data Scientist | PhD or Master’s

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Python
AI
Scala
+36

Contract role
a month ago
Apply now

Title: Data Scientist

Location: Remote Must be able to work EST hours

Duration: 12+ monthsInterview – 2 Rounds Video

Candidates will need to provide two work references.

Required

  • PhD with 2+ years analytical experience OR Master’s with 4+ years analytical experience
  • Hands-on GenAI/ML modeling with complex datasets; strong theoretical foundation in AI/ML
  • Expertise in:
  • Supervised/unsupervised learning
  • Deep learning, reinforcement learning, federated learning
  • Time series analysis, optimization, Generative AI
  • Experience developing and deploying code in agile, AI product-focused teams
  • Comfortable working in cloud/HPC environments (AWS, GCP, Databricks, Apache Spark)
  • Experience with CI/CD, orchestration for AI/ML (Machine Learning) pipeline development
  • Strong Python coding (functions, classes); production-ready software development
  • Proficient with:
  • Python (required), R (nice to have), Scala (bonus)
  • SQL/NoSQL, Snowflake, cloud databases
  • Excellent communication, data visualization, and storytelling skills
  • Skilled in simplifying technical concepts for business stakeholders
  • Team-oriented with ability to manage multiple priorities in fast-paced environments
  • Familiarity with Tableau, Power BI, Plotly, Git/version control, APIs

Nice To Have/ Preferred Skills

  • Proficiency in R or Scala
  • Experience in life sciences or healthcare
  • Experience in global, complex organizations
  • Exposure to tools like DataRobot, Dataiku, Alteryx

About Largeton

👥11-50
📍Herndon, VA
🔗Website

Largeton Service

Largeton product / service
Largeton product / service
Largeton product / service
Largeton product / service

How does Largeton work?

Largeton provides online services technology consultants business that plans strategically for people, processes, and technology.

Company culture

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