Lead Data Scientist - Machine Learning

Placements24; United States; Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Performance bonuses

Equity options

Health, dental, and vision insurance

Hybrid work model

Learning & development opportunities

Job summary

Placements24 is seeking an experienced Lead Data Scientist to spearhead innovative ML projects within its research division in George. You will guide a team of data scientists and engineers, translating complex business challenges into data-driven solutions.

This role blends technical leadership with strategic thinking to build next-generation predictive models, scalable data pipelines, and analytics capabilities that drive tangible impact across the organization.

Qualifications

• Master's or PhD in a quantitative field.
• 8+ years in data science with at least 3 years in leadership.
• Deep expertise in ML algorithms, statistical modeling, and predictive analytics.
• Proficiency in Python or R and ML libraries.
• Experience with cloud platforms and big data technologies.
• Ability to translate findings into executive-friendly insights.

Responsibilities

• Lead design, development, and deployment of ML models.
• Mentor and manage a team of data scientists.
• Identify opportunities for advanced analytics and ML.
• Develop and maintain robust data pipelines.
• Collaborate with stakeholders to deliver insights.
• Evaluate and integrate new tools and technologies.

Skills

Leadership

Data science leadership

Machine learning

Python/R

Big data

Cloud platforms (AWS, Azure, GCP)

Communication

Education

Master's degree

PhD

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

Job description

About the Role

Our client is seeking an experienced and visionary Lead Data Scientist with a strong focus on Machine Learning to spearhead innovative projects within their research division in George . You will guide a team of data scientists and engineers, translating complex business challenges into data-driven solutions. This role demands a blend of technical expertise, strategic thinking, and leadership, aiming to build next-generation predictive models and analytical capabilities. Join a forward-thinking organization dedicated to pushing the boundaries of data science and making a tangible impact on industry challenges.

Key Responsibilities

• Lead the design, development, and deployment of sophisticated machine learning models for various applications.
• Mentor and manage a team of data scientists, fostering a collaborative and innovative research environment.
• Identify new opportunities for applying advanced analytics and machine learning to solve business problems.
• Develop and maintain robust data pipelines, ensuring data quality and accessibility for model training and evaluation.
• Collaborate with stakeholders across different departments to understand requirements and deliver actionable insights.
• Evaluate and integrate new tools and technologies to enhance the team's capabilities.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related quantitative field.
• 8+ years of experience in data science, with at least 3 years in a leadership or senior role.
• Deep expertise in machine learning algorithms, statistical modeling, and predictive analytics.
• Proficiency in programming languages like Python or R, and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with big data technologies and cloud platforms (AWS, Azure, GCP).
• Demonstrated ability to translate complex findings into clear, concise recommendations for both technical and non-technical audiences.

Benefits

• Highly competitive salary package, commensurate with experience.
• Performance-based bonuses and equity options.
• Comprehensive health, dental, and vision insurance.
• Hybrid work model offering flexibility between home and office in George .
• Opportunities for continuous learning, conference attendance, and professional development.