Senior Data Scientist (Contract)

Position Overview

• Location Type: Onsite
• Job Type: Contract
• Location: San Francisco Bay Area, CA
• Salary: Not specified

Seeking a Senior Data Scientist to join a global high-tech client focused on AI-driven technology and digital transformation. This role involves developing AI-driven solutions, analyzing large datasets, deploying ML models, and collaborating with cross-functional teams. It's a high-impact opportunity to work on next-generation technologies.

About Us

Sustainable Talent provides flexible workforce solutions, connecting top-tier talent with leading global organizations. We partner with innovative companies to help them scale their teams with the right expertise. This opportunity is with one of our global high-tech clients, a leader in AI-driven technology and digital transformation.

About the Role

This role focuses on developing AI-driven solutions using machine learning, big data analytics, and advanced modeling techniques to deliver impactful insights and drive business decisions. Collaboration with data engineers, software developers, and business leaders is key for deploying scalable AI/ML models in a production environment.

Responsibilities

• Develop and implement advanced machine learning models and AI solutions to solve complex business challenges.
• Analyze and process large-scale structured and unstructured data to generate actionable insights.
• Build and optimize data pipelines to support data science initiatives.
• Deploy scalable ML models into production using cloud-based platforms (AWS, GCP, or Azure).
• Collaborate with engineering teams to integrate ML models into operational workflows.
• Develop data visualization dashboards and reports to communicate findings effectively.

Requirements

• Experience: 7+ years of experience in data science, machine learning, or AI roles.
• Technical Skills:
  • Proficiency in Python, R, SQL, and data science libraries (Pandas, NumPy, SciPy, Scikit-learn).
  • Experience with deep learning frameworks (TensorFlow, PyTorch).
  • Proficiency in big data technologies (Spark, Hadoop, Databricks, Snowflake).
  • Hands-on experience deploying ML models in real-world production environments.
• Knowledge: Strong knowledge of statistical analysis, A/B testing, and hypothesis testing.
• Cloud Platforms: Experience with MLOps best practices and cloud platforms (AWS, GCP, or Azure).
• Data Types: Ability to work with unstructured data, including text, images, and time-series data.
• Soft Skills: Excellent problem-solving and communication skills, with the ability to translate data insights into business strategy.
• Education: Degree in Computer Science, Data Science, Mathematics, Statistics, or equivalent experience.

Why Join Us?

• Work with a global high-tech AI-driven company at the cutting edge of innovation.
• Engage in high-impact projects leveraging state-of-the-art AI and ML technologies.
• Competitive compensation based on factors like experience, education, location, etc.
• Full benefits package.

Application Instructions

• Not specified in the provided description.