Lead Data Scientist

SureGuard; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

A leading company in AI services seeks a Lead Data Scientist to oversee AI/ML projects and enhance business value for top-tier clients. The role combines technical leadership with hands-on model development and mentoring, making it ideal for innovative candidates passionate about leveraging data science to solve real-world challenges.

Qualifications

• 3 - 5+ years of experience in applied machine learning.
• Hands-on experience with generative models and experience in development.
• Comfortable leading projects in a client-facing setting.

Responsibilities

• Lead development of advanced analytics and AI/ML models.
• Design data pipelines using SQL, Spark, and cloud platforms.
• Manage and mentor a team of data scientists.

Skills

Effective communication

Machine learning

Advanced analytics

Data engineering

Proficiency in Python

SQL

Education

MS or PhD in Data Science, Statistics, or Computer Science

Tools

SQL

Spark

TensorFlow

PyTorch

Job description

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

Job Description

We’re looking for a Lead Data Scientist with deep technical expertise and strong communication skills to lead end-to-end AI/ML projects for top-tier clients across marketing, customer experience, and business process optimization and operations.

As a player-coach, you’ll combine technical leadership, team mentorship, and hands-on delivery to produce client-facing impacts — designing cutting-edge solutions from statistical models to GenAI agents. This role is ideal for someone who thrives on innovation and is passionate about delivering measurable business value through data.

What you will do

• Lead development of advanced analytics and AI/ML models (e.g., classification, time series, GenAI, computer vision, associative rules and decisioning).

• Design and oversee robust data pipelines using SQL, Spark, and cloud platforms (AWS, GCP, Azure).

• Architect and implement solutions involving LLMs, transformer-based models, and AI agents for generative tasks and automation.

• Manage and mentor a team of data scientists; guide project execution and professional development.

• Collaborate with business stakeholders to translate problems into machine learning solutions, deliver insights, and drive model deployment.

• Own model lifecycle: from data exploration to production deployment and monitoring (MLOps).

• Engage with multimodal data: text, image, audio, or behavioral data from web and app interactions.

• Ensure quality, reproducibility, and documentation of models and findings.

Qualifications

• MS or PhD in Data Science, Statistics, Computer Science, or a related field.

• 3 - 5+ years of experience in applied machine learning and advanced analytics.

• Effective communication skills to technical and non-technical audiences.

• Proficiency in Python (and optionally R or Scala), including libraries like scikit-learn, TensorFlow, PyTorch. ect

• Hands-on experience with generative models (e.g., GPT, diffusion models) or multimodal AI. Experience using these models during development.

• Strong SQL and data engineering skills; Spark/Databricks experience is a plus.

• Experience deploying ML models to production (API, batch, or streaming environments).

• Comfortable leading projects and collaborating cross-functionally in a fast-paced, client-facing setting.

• Familiarity with A/B testing platforms (Optimizely, Adobe Target), cloud AI services, or explainable AI tools.

• The Salary range for this position is $110,000 - $160,000 - depending on experience and qualifications
  

Additional Information

All your information will be kept confidential according to EEO guidelines.