Lead Data Scientist
@ Fortra

Hybrid
$190,000
Hybrid
Full Time
Posted 16 hours ago

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XXXXXXXXX XXXXXXXXXXXXX XXXXXXXXXX****** @fortra.com
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Job Details

About the Role

The Lead Data Scientist role at Lead Data Scientist for Fortra is designed for experienced professionals passionate about addressing challenging problems. Working in a fully remote team environment, you will develop, enhance, and maintain cutting-edge data science solutions focusing on data processing, algorithms, and machine learning methods.

Responsibilities

  • Lead complex data science projects and design solutions.
  • Develop machine learning models for production environments.
  • Evaluate new platforms and prototype innovations with end users.
  • Mentor junior and senior data scientists and enforce best practices.
  • Collaborate with product managers, engineering, and MLOps teams.
  • Manage a small team, handling staffing and performance.
  • Maintain technical documentation based on business requirements.

Qualifications

A minimum of 9 years experience in data science with at least 3 years in a senior role is required. Candidates with a strong academic background or PhD may substitute for some experience. Extensive experience in Python, Java, or C++ and proficiency in frameworks like PyTorch, TensorFlow, and scikit-learn is essential. Expertise in NLP, Computer Vision, or Generative AI and a passion for cybersecurity applications are key.

Compensation & Benefits

This full-time role offers a competitive salary between $165,000 and $215,000, comprehensive benefits including health coverage, 401(k), flexible PTO, and personal development opportunities.

Key Skills/Competency

  • Data Science
  • Machine Learning
  • Cybersecurity
  • Python
  • Algorithm Design
  • Leadership
  • Team Management
  • Mentorship
  • MLOps
  • Technical Documentation
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How to Get Hired at Fortra

🎯 Tips for Getting Hired

  • Customize your resume: Emphasize ML and leadership skills.
  • Highlight project achievements: Detail data science successes.
  • Prepare technical case studies: Show real-world examples.
  • Research Fortra: Understand their cybersecurity focus.
  • Practice behavioral scenarios: Demonstrate mentoring experience.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries and ML frameworks.
Practice building production machine learning models.
Study cybersecurity data processing techniques.
Update skills with recent ML trends.

Behavioral Questions

Describe your leadership experience in projects.
Explain how you mentor team members.
Discuss conflict resolution in remote teams.
Share experiences of cross-team collaboration.

Frequently Asked Questions