Data Scientist

Senior Data Scientist

Location: Dallas, Chicago, Atlanta, New Jersey - 2/3 days on-site

Salary: Up to 180k

We are seeking an experienced Senior Data Scientist / ML Engineer with a strong background in pre-sales, team leadership, and technical expertise in classical machine learning, deep learning, and generative AI. In this strategic role, you will engage in high-level client discussions, drive technical sales strategies, and lead a team to design and implement innovative ML solutions.

Key Responsibilities

1. Pre-Sales & Client Engagement

• Collaborate with sales teams to identify client needs and craft AI/ML solutions.
• Present project proposals and proof-of-concepts (POCs) to clients.
• Translate complex requirements into actionable project scopes and technical proposals.

2. Leadership & Team Management

• Mentor and provide feedback to a team of data scientists and ML engineers.
• Establish best practices in solution design, code reviews, and model validation.
• Drive the strategic roadmap for AI initiatives aligned with organizational goals.

3. Machine Learning & Statistical Modeling

• Apply classical ML techniques to solve business problems and optimize data pipelines.
• Ensure robust model evaluation, tuning, and performance monitoring.

4. Deep Learning & Generative AI

• Develop deep learning models using TensorFlow or PyTorch for various applications.
• Build solutions leveraging generative AI for innovative features and services.
• Stay updated on state-of-the-art AI models through research and experimentation.

5. Project Delivery & MLOps

• Lead end-to-end ML project lifecycles from development to deployment.
• Implement MLOps best practices (CI/CD, containerization) on cloud or on-premise infrastructures.
• Collaborate with DevOps teams to integrate ML solutions.

6. Stakeholder Management & Communication

• Act as a technical advisor to leadership and product managers.
• Communicate AI/ML findings clearly to technical and non-technical audiences.
• Promote data-driven decision-making and a culture of innovation.

Required Qualifications

• Education & Experience: Master’s or PhD in a related field; 12+ years in data science/ML engineering, with 5+ years in leadership.
• Technical Expertise:
• Pre-Sales: Experience in client-facing roles and proposal development.
• Classical ML: Proficient in traditional algorithms and statistical methods.
• Deep Learning: Hands-on experience with TensorFlow or PyTorch.
• Generative AI: Practical knowledge of GANs, VAEs, or large language models.
• MLOps: Familiarity with CI/CD, Docker/Kubernetes, and cloud platforms.
• Leadership & Communication: Proven mentorship abilities and exceptional communication skills; experience in agile methodologies.

Preferred Skills

• Experience with big data ecosystems (Spark, Hadoop).
• Background in NLP, computer vision, or recommendation systems.
• Knowledge of DevOps tools (Jenkins, GitLab CI).
• Published research or contributions to open-source AI projects.