Senior Data Scientist

Location: San Francisco Bay Area, CA 
Employment Type: Contract

About Us

Sustainable Talent provides flexible workforce solutions, connecting top-tier talent with leading global organizations. We partner with some of the world’s most 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. Our client is at the forefront of artificial intelligence, leveraging cutting-edge data science and machine learning to solve complex challenges.

About the Role

We are seeking a highly skilled Senior Data Scientist to join our client’s team, where you will be at the core of developing AI-driven solutions. In this role, you will leverage machine learning, big data analytics, and advanced modeling techniques to deliver impactful insights and drive business decisions.

You will collaborate with cross-functional teams, including data engineers, software developers, and business leaders, to deploy scalable AI/ML models in a production environment. This is a high-impact opportunity to work on next-generation technologies in a fast-paced environment.  

What You’ll Do

• 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.

What We’re Looking For

• 7+ years of experience in data science, machine learning, or AI roles.
• Expertise 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.
• Strong knowledge of statistical analysis, A/B testing, and hypothesis testing.
• Experience with MLOps best practices and cloud platforms (AWS, GCP, or Azure).
• Ability to work with unstructured data, including text, images, and time-series data.
• Excellent problem-solving and communication skills, with the ability to translate data insights into business strategy.
• 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.
• We offer competitive compensation based on factors like experience, education, location, etc. 
• We offer full benefits, flexible PTO, and amazing company culture!
• Be part of a diverse, inclusive, and forward-thinking work environment.

How to Apply

If you’re an experiencedSenior Data Scientistpassionate about AI, machine learning, and driving real-world impact, we want to hear from you!

Apply today by submitting your resume and a brief cover letter highlighting your relevant experience.

Sustainable Talent is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.