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Senior Data Scientist, AI/ML

Innovate AI Labs
San Francisco
Salary Estimate
USD 150.000 – USD 200.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

About Innovate AI Labs

Innovate AI Labs is at the forefront of AI and Machine Learning innovation, transforming industries with intelligent solutions. We're a dynamic, fast-paced team of problem-solvers, engineers, and data enthusiasts dedicated to pushing the boundaries of what's possible. Our culture thrives on curiosity, collaboration, and a relentless pursuit of excellence. Join us in San Francisco, a hub of technological advancement, and be part of a company that values groundbreaking ideas and empowers its people to make a significant impact.

The Opportunity

We are seeking an exceptional Senior Data Scientist with a strong focus on AI and Machine Learning to join our growing team. This is a pivotal role where you will design, develop, and deploy advanced analytical models and machine learning algorithms that drive critical business decisions and power our next-generation products. You will work on challenging, high-impact problems across diverse datasets, from ideation to production. If you are passionate about leveraging data to solve complex real-world problems, thrive in a collaborative environment, and are eager to shape the future of AI, we want to hear from you.

Why Innovate AI Labs?

  • Impactful Work: Contribute to projects that directly influence product strategy and user experience.
  • Cutting-Edge Tech: Work with the latest tools and technologies in AI, ML, and big data.
  • Growth & Development: Opportunities for continuous learning, mentorship, and career advancement.
  • Collaborative Culture: A supportive environment where your ideas are valued and celebrated.
  • Competitive Compensation: Attractive salary, comprehensive benefits, and stock options.

Responsibilities

  • Design, develop, and implement advanced machine learning models and algorithms to solve complex business problems.
  • Conduct rigorous statistical analysis, A/B testing, and experimentation to validate hypotheses and measure impact.
  • Collaborate closely with product managers, engineers, and other stakeholders to define problems, scope projects, and deliver data-driven solutions.
  • Translate complex analytical findings and model results into clear, actionable insights for technical and non-technical audiences.
  • Mentor junior data scientists, fostering a culture of learning and best practices within the team.
  • Contribute to the strategic direction of our data science roadmap, identifying new opportunities for AI/ML application.
  • Optimize model performance, monitor deployment, and ensure the reliability and scalability of our data products.
  • Stay abreast of industry trends, research papers, and emerging technologies in AI, ML, and data science.

Qualifications

  • Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • 5+ years of professional experience in data science, with a strong focus on machine learning and predictive modeling.
  • Proficiency in programming languages such as Python (with libraries like scikit-learn, TensorFlow, PyTorch) and/or R.
  • Solid understanding of statistical modeling, experimental design, causality, and hypothesis testing.
  • Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
  • Expertise in SQL for data extraction and manipulation.
  • Demonstrated ability to communicate complex technical concepts and data insights effectively to diverse audiences.
  • Proven track record of deploying ML models into production environments and monitoring their performance.
  • Strong problem-solving skills, intellectual curiosity, and a passion for continuous learning.

Required Skills

Python R SQL Machine Learning Deep Learning A/B Testing Statistical Modeling Data Visualization Cloud Platforms Spark TensorFlow PyTorch Predictive Analytics Data Science Big Data

Ready to Take on This Challenge?

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