Senior Data Scientist - AI & Predictive Analytics

Placements24; Willows (CA); Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Paid time off

Professional development

Remote work

Job summary

Placements24 is recruiting a Senior Data Scientist for a remote-first AI and predictive analytics role. You will design, train, and deploy ML models, work with large datasets, and collaborate with engineering and product teams to bring AI solutions to production.

Requirements include a Master's or PhD in a quantitative field, 5+ years in data science, Python or R, and experience with cloud data services; strong communication and ability to mentor teammates in a distributed setup.

Qualifications

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of hands-on data science and ML experience with predictive modeling.
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow, or PyTorch.
• Strong SQL skills and experience with big data technologies (Spark, Hadoop).

Responsibilities

• Develop, train, and deploy advanced ML models for predictive analytics, classification, regression, and clustering.
• Analyze large datasets to identify trends, patterns, and actionable insights.
• Design and implement data pipelines for ingestion, transformation, and feature engineering.
• Collaborate with engineering and product teams to integrate AI models into production applications.
• Design and conduct A/B tests to evaluate model performance and impact.
• Communicate complex findings clearly to technical and non-technical stakeholders.
• Stay up-to-date with advancements in data science and AI.
• Mentor junior data scientists and contribute to the team's knowledge base.
• Ensure data quality and integrity throughout analysis.

Skills

Strong communication

Mentoring

Remote collaboration

Education

Master's or PhD in a quantitative field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client, a dynamic leader in the AI & Emerging Technologies space, is seeking a highly skilled Senior Data Scientist with expertise in AI and predictive analytics. This role is designed for individuals passionate about leveraging data to drive business insights and build intelligent systems. You will work remotely, collaborating with a world-class team to tackle challenging problems and develop innovative solutions. The focus will be on designing, implementing, and deploying sophisticated machine learning models to extract valuable patterns from complex datasets. This is an excellent opportunity to contribute to impactful projects and advance your career in a cutting-edge field, working from the comfort of your own location. Our client is committed to fostering a remote-first culture that empowers employees and encourages collaboration across distances.

Key Responsibilities

• Develop, train, and deploy advanced machine learning models for predictive analytics, classification, regression, and clustering.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Design and implement data pipelines for efficient data ingestion, transformation, and feature engineering.
• Collaborate with engineering and product teams to integrate AI models into production applications.
• Design and conduct A/B tests and experiments to evaluate model performance and impact.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI.
• Mentor junior data scientists and contribute to the team's knowledge base.
• Ensure data quality and integrity throughout the analytical process.

Requirements

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of hands-on experience in data science and machine learning, with a strong focus on predictive modeling.
• Proficiency in programming languages such as Python or R, and experience with libraries like scikit-learn, TensorFlow, or PyTorch.
• Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop).
• Solid understanding of statistical modeling, experimental design, and data mining techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and associated data science services.
• Excellent problem-solving abilities and a keen eye for detail.
• Strong communication and collaboration skills, essential for a remote role.
• Proven ability to work independently and manage projects effectively.

Benefits

This is a fully remote position offering a highly competitive salary and performance-based incentives. Our client provides comprehensive health benefits, a generous retirement savings plan, and ample paid time off. We support professional development through online courses, certifications, and virtual conferences. You'll be part of an innovative and collaborative global team working on exciting AI & Emerging Technologies projects, enjoying the flexibility and autonomy of working from anywhere.