Lead Data Scientist - Machine Learning

Placements24; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Fully remote

Executive bonuses

Professional development

Job summary

Placements24 is seeking a Lead Data Scientist to guide a talented team in developing and deploying machine learning solutions. You will shape the data strategy, design scalable pipelines, and translate complex insights into business decisions.

Ideal candidates hold a Master's or PhD in a quantitative field, 7+ years of experience with at least 2 in leadership, and a track record of production ML models. Fully remote position with competitive compensation and growth opportunities.

Qualifications

• Advanced degree in a quantitative field.
• 7+ years in data science with 2+ in leadership.
• Proven production ML model deployment experience.
• Proficiency in Python or R and ML libraries.
• Strong SQL and big data (Spark/Hadoop) skills.

Responsibilities

• Design and deploy advanced ML models for production.
• Lead and mentor a team of data scientists.
• Develop robust data pipelines ensuring data quality.
• Collaborate with stakeholders to translate business problems into data solutions.
• Communicate findings to technical and non-technical audiences.
• Stay updated on ML advances and drive adoption.

Skills

Python

R

SQL

Big data

Leadership

Data storytelling

Education

Master's or PhD in data science

Tools

scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking an innovative and experienced Lead Data Scientist to join their dynamic team in George . In this role, you will be instrumental in leveraging advanced machine learning techniques to extract actionable insights from complex datasets, driving strategic business decisions. You will lead a team of data scientists, guiding them through the entire data science lifecycle from problem definition to model deployment and monitoring. This is an exceptional opportunity to make a significant impact in a rapidly evolving field and contribute to the company's data-driven future.

Key Responsibilities

• Lead the design, development, and implementation of sophisticated machine learning models for predictive analytics and data mining.
• Collaborate with stakeholders across various departments to identify key business challenges and opportunities addressable through data science.
• Mentor and guide a team of data scientists, fostering their professional growth and ensuring project success.
• Develop and maintain robust data pipelines, ensuring data quality, integrity, and accessibility.
• Communicate complex findings and insights clearly and concisely to both technical and non-technical audiences.
• Stay abreast of the latest advancements in machine learning and data science, and champion their adoption where appropriate.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7+ years of progressive experience in data science and machine learning, with at least 2 years in a leadership role.
• Proven track record of developing and deploying machine learning models in production environments.
• Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop).

Benefits

• Highly competitive salary package with executive bonuses.
• Fully remote work arrangement, offering exceptional flexibility.
• Comprehensive medical, dental, and vision coverage.
• Generous investment in professional development, including conferences and training.
• Opportunity to work on groundbreaking projects with significant business impact.