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Senior Data Scientist

Apex Analytics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Senior Data Scientist to join our elite team at Apex Analytics. In this pivotal role, you will leverage advanced statistical methods and machine learning algorithms to solve complex business problems. You will be responsible for transforming raw data into actionable insights that drive growth, innovation, and strategic decision-making.


Why Join Apex Analytics?
β€’ Impactful Work: Directly influence product strategy and business outcomes with data-driven solutions.
β€’ Cutting-Edge Tech: Work with the latest in AI, Big Data, and Cloud technologies.
β€’ Competitive Compensation: Comprehensive benefits package including equity.

Responsibilities

  • Design, develop, and deploy scalable machine learning models to solve real-world business challenges.
  • Collaborate with cross-functional teams (Product, Engineering, and Business) to identify opportunities for data-driven solutions.
  • Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies in large, complex datasets.
  • Communicate complex findings and model performance metrics to non-technical stakeholders with clarity and precision.
  • Optimize data pipelines and infrastructure to ensure high availability, scalability, and efficiency.
  • Mentor junior data scientists and contribute to the technical roadmap of the data science team.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in data science, machine learning, or a similar analytical role.
  • Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
  • Deep understanding of statistical concepts, probability, and machine learning algorithms (Supervised/Unsupervised Learning).
  • Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python SQL Machine Learning Statistics Data Visualization TensorFlow AWS Spark

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