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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist - AI & Machine Learning

Apex Data Solutions
San Francisco
Salary Estimate
USD 140.000 – USD 180.000
Live Update
10 Mei 2026
Deadline
10 Mei 2027

Job Description

Are you passionate about turning raw data into actionable business intelligence? Apex Data Solutions is seeking a visionary Senior Data Scientist to join our elite team. In this role, you will drive innovation by designing, building, and deploying advanced machine learning models that solve complex business problems.

We are a forward-thinking organization committed to leveraging AI to reshape the industry. You will have the opportunity to work with massive datasets and collaborate with cross-functional teams to translate data insights into strategic business initiatives. If you possess a deep understanding of statistical analysis and want to shape the future of technology, we want to hear from you.

Responsibilities

  • Model Development: Design, train, and optimize advanced machine learning algorithms and deep learning models for predictive analytics.
  • Data Engineering: Perform exploratory data analysis (EDA) and clean large datasets to ensure high-quality inputs for modeling.
  • Deployment: Collaborate with MLOps engineers to deploy models into production environments using cloud infrastructure.
  • Strategy: Translate business requirements into technical data science solutions to drive key decision-making processes.
  • Innovation: Stay abreast of the latest research in AI/ML and apply cutting-edge techniques to improve product performance.
  • Communication: Present complex findings and model results to non-technical stakeholders in a clear, actionable manner.

Qualifications

  • Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Experience: 5+ years of professional experience in data science, machine learning, or artificial intelligence.
  • Programming: Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
  • Frameworks: Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Cloud: Proven track record of deploying models to cloud platforms like AWS, GCP, or Azure.
  • Soft Skills: Excellent problem-solving skills and the ability to communicate technical concepts to diverse audiences.

Required Skills

Python Machine Learning Deep Learning SQL TensorFlow PyTorch AWS Statistics Data Analysis Predictive Modeling

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