Senior Data Scientist

Ladders
RemoteFull-time$130,000–$160,000Posted Sep 14, 2026

About the role

For our client, we are seeking a Senior Data Scientist to join the team of a leader in the Enterprise Technology space.

This role will provide technical ownership for applied AI initiatives, guiding high-impact work from concept through production in partnership with product, engineering, research, and MLOps teams.

The position will focus on building and evaluating advanced ML and GenAI solutions, with an emphasis on reliability, scalable deployment, and practical security use cases.

You will also help shape AI strategy, mentor teammates, and communicate technical direction and results to a broad range of stakeholders.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $130,000 – $160,000 annually

Responsibilities

Provide technical ownership for applied AI initiatives across the organization

Lead complex AI projects from concept to production

Act as a senior internal AI consultant for product, engineering, and research teams

Lead research, development, and deployment of models for security use cases

Design and guide advanced GenAI solutions utilizing LLMs

Establish strong practices for experimentation and evaluation

Set technical direction for reliable AI systems

Bridge research and production with scalable APIs and workflows

Evaluate emerging AI technologies and make adoption recommendations

Collaborate with engineering and MLOps teams on deployment and lifecycle management

Mentor data scientists and elevate organizational AI practices

Communicate AI strategy and findings to stakeholders

Qualifications

7+ years of hands-on experience in applied data science, machine learning, or AI engineering

Strong proficiency in Python and familiarity with data and AI libraries such as Databricks and scikit-learn

Experience building and shipping ML or GenAI applications

Deep understanding of LLM ecosystems, including OpenAI and Hugging Face

Skill in designing effective LLM applications with structured outputs and retrieval techniques

Experience building agentic AI workflows with orchestration frameworks

Strong evaluation skills for quality metrics and reliability assessment

Excellent communication skills for technical and non-technical audiences

Benefits

Opportunity for mentorship and technical leadership

Exposure to a variety of high-impact AI initiatives

Collaborative environment with diverse teams

Focus on continuous learning and staying current with emerging technologies

Possibility to shape the company's AI strategy and practices

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

Responsibilities

  • Provide technical ownership for applied AI initiatives across the organization
  • Lead complex AI projects from concept to production
  • Act as a senior internal AI consultant for product, engineering, and research teams
  • Lead research, development, and deployment of models for security use cases
  • Design and guide advanced GenAI solutions utilizing LLMs
  • Establish strong practices for experimentation and evaluation
  • Set technical direction for reliable AI systems
  • Bridge research and production with scalable APIs and workflows

Qualifications

  • 7+ years of hands-on experience in applied data science, machine learning, or AI engineering
  • Strong proficiency in Python and familiarity with data and AI libraries such as Databricks and scikit-learn
  • Experience building and shipping ML or GenAI applications
  • Deep understanding of LLM ecosystems, including OpenAI and Hugging Face
  • Skill in designing effective LLM applications with structured outputs and retrieval techniques
  • Experience building agentic AI workflows with orchestration frameworks
  • Strong evaluation skills for quality metrics and reliability assessment
  • Excellent communication skills for technical and non-technical audiences

Benefits

  • Opportunity for mentorship and technical leadership
  • Exposure to a variety of high-impact AI initiatives
  • Collaborative environment with diverse teams
  • Focus on continuous learning and staying current with emerging technologies
  • Possibility to shape the company's AI strategy and practices

Skills mentioned

PythonMachine LearningData ScienceDatabricksScikit-learnGenerative AILarge Language ModelsRetrieval-Augmented GenerationAI AgentsModel Evaluation

About Ladders

We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.

Technology51-200 employeesNew York

H-1B sponsorship history

Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.