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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
   1. Collaborate with sales teams to identify client needs and craft AI/ML solutions.
   2. Present project proposals and proof-of-concepts (POCs) to clients.
   3. Translate complex requirements into actionable project scopes and technical proposals.
2. Leadership & Team Management
   1. Mentor and provide feedback to a team of data scientists and ML engineers.
   2. Establish best practices in solution design, code reviews, and model validation.
   3. Drive the strategic roadmap for AI initiatives aligned with organizational goals.
3. Machine Learning & Statistical Modeling
   1. Apply classical ML techniques to solve business problems and optimize data pipelines.
   2. Ensure robust model evaluation, tuning, and performance monitoring.
4. Deep Learning & Generative AI
   1. Develop deep learning models using TensorFlow or PyTorch for various applications.
   2. Build solutions leveraging generative AI for innovative features and services.
   3. Stay updated on state-of-the-art AI models through research and experimentation.
5. Project Delivery & MLOps
   1. Lead end-to-end ML project lifecycles from development to deployment.
   2. Implement MLOps best practices (CI/CD, containerization) on cloud or on-premise infrastructures.
   3. Collaborate with DevOps teams to integrate ML solutions.
6. Stakeholder Management & Communication
   1. Act as a technical advisor to leadership and product managers.
   2. Communicate AI/ML findings clearly to technical and non-technical audiences.
   3. Promote data-driven decision-making and a culture of innovation.

Required Qualifications

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

Preferred Skills

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

Skills

Staffing And Recruiting Information Technology

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