Job Description
Join the Future of Intelligence at Apex Logic Systems
Are you a visionary Data Scientist looking to shape the next generation of AI? Apex Logic Systems is seeking a highly skilled Senior Data Scientist to join our elite engineering team in San Francisco. We are building scalable, robust machine learning systems that power enterprise solutions for Fortune 500 clients.
In this role, you will bridge the gap between complex mathematical theory and production-ready software. You will work on cutting-edge projects involving Natural Language Processing (NLP), Predictive Analytics, and Computer Vision. If you are passionate about turning data into actionable insights and have a knack for solving hard problems, we want to hear from you.
Why Join Us?
- Competitive Compensation: $145k - $195k base salary + equity.
- Unlimited PTO: We believe in work-life balance.
- Top-tier Benefits: Health, dental, and vision insurance with 100% employer coverage.
- Flexible Work: Hybrid work model allowing for remote flexibility.
Responsibilities
- Design, develop, and deploy scalable machine learning models and algorithms using Python, TensorFlow, and PyTorch.
- Collaborate with cross-functional teams of engineers, product managers, and domain experts to define data requirements and model features.
- Perform exploratory data analysis (EDA) to uncover patterns, trends, and relationships within complex datasets.
- Optimize machine learning pipelines for speed, accuracy, and scalability in production environments.
- Communicate complex technical findings to non-technical stakeholders through clear visualizations and reports.
- Stay current with the latest research in deep learning, NLP, and statistical modeling.
Qualifications
- Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in data science, machine learning, or a related role.
- Proficiency in programming languages such as Python, SQL, and Scala.
- Strong experience with machine learning frameworks including Scikit-learn, PyTorch, or TensorFlow.
- Deep understanding of data structures, algorithms, and software design principles.
- Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop).